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YANGON UNIVERSITY OF ECONOMICS
DEPARTMENT OF COMMERCE
PhD PROGRAMME
INNOVATION AND PERFORMANCE OF
CONFECTIONERY BUSINESS
MA PHYO
JUNE, 2018
1
CERTIFICATION
I hereby certify that content of this dissertation is wholly my own work unless
otherwise referenced or acknowledged. Information from sources is referenced with
original comments and ideas from the writer herself/himself.
Ma Phyo
4 PhD Za-
5
2
ABSTRACT
In manufacturing sector of Myanmar, food industry comprises the largest
percentage whereas the confectionery business takes the largest role in food industry.
Mandalay is the early well-developed region in Upper Myanmar with regard to the
strategic point of trading. This study intends to examine the drivers of innovation in
confectionery businesses in Mandalay, to identify the influencing types of innovation
on firm performance and to analyze the impact of innovation on firm performance. To
identify the factors influencing innovation and business performance, 89
confectionery businesses located in Mandalay were randomly selected and analyzed.
It was found that the intellectual capital has positive and highly significant effect on
all three types of innovation. Concerning the type of innovation, the majority of firms
mainly used product innovation. Product innovation affects the firm performance in
terms of number of employees, production volume, sale volume and profit. Market
innovation affects only two performance measures: number of employees and profit.
The lack of innovative personality in the part of owner and manager and education
and skill in the part of workforce are major deterrents for the growth of confectionery
businesses. To successfully compete with rivals and new entrants, the confectionery
businesses need to conduct continuous innovation and also need to consider all the
drivers of innovation in order to retain the market share and pursue future prosperity
through sustainable competitive advantages.
3
ACKNOWLEDGEMENTS
First and foremost, I would like to express my profound gratitude to
Prof: Dr. Khin Naing Oo, Rector, Yangon University of Economics for giving me the
opportunity to write this PhD thesis. I am also grateful to Prof: Dr. Tun Aung,
Pro-Rector, Yangon University of Economics for giving me the opportunity to
accomplish this dissertation and providing constructive guidance to me.
I would like to show my heartfelt gratitude to the Chairman of PhD Steering
Committee, my supervisor, Prof:, Dr. Daw Soe Thu, Head of Department of
Commerce, Yangon University of Economics, for her supervision, inspirations and
moral support for the completion of this work successfully.
I would like to convey my deepest thanks to the honorable academicians, Prof:
Dr. Kyaw Min Htun, Prof: Dr. Daw Hla Myint, Prof: Dr. Khin May Hla,
Prof: Dr. Sein Min, Prof: Dr. Kyi Kyi Sein for supporting with their useful guidance,
suggestions and encouragement.
I also thank Prof: Dr. Moe Moe Khaing, Head of Department of Management
Studies, Yangon University of Economics, Prof: Dr. Maw Maw Khin, Head of
Department of Statistics, Yangon University of Economics, Prof: Dr. Tin Tin Htwe,
Department of Commerce, Yangon University of Economics for all their valuable
advice and suggestions.I express my sincere thanks to Prof: Dr. Nu Nu Lwin, Department of
Management Studies, Yangon University of Economics for her good opinions and
invaluable suggestions for the improvement of this dissertation.
I am also grateful to Prof: Dr. Myiny Myint Kyi, Department of Management
Studies, Yangon University of Economics for her prompt, insightful advice and
suggestions at the very first discussion.
I am deeply indebted to all the owners and managers of the confectionary
businesses in Mandalay municipal area for cooperating and answering the questions
to accomplish this work.
My special thanks also go to U Win Oo, Deputy Director, Directorate of
Industrial Supervision and Inspection, Mandalay Division, Daw Ei Ei Moe, District
Officer, Directorate of Industrial Supervision and Inspection, Mandalay Division and
4
U Naing Oo, Head of Office, Industrial Zone Management Committee, Mandalay
Division for their support and cooperation.
Many people deserve my thanks for help in doing this work. The analysis
cannot be accomplished without help from them.
Last but not the least, I wish to express my sincere gratitude to my beloved
parents for their support, understanding, contribution and encouragement to achieve
my academic and career goals.
Ma Phyo
PhD Za-5
5
TABLE OF CONTENTS
Page
Abstract i
Acknowledgements ii
Table of Contents iv
List of Tables vi
List of Figures viii
List of Abbreviations ix
Chapter 1 Introduction 1
1.1 Rationale of the Study 2
1.2 Problem Statement of the Study 5
1.3 Research Question 9
1.4 Objectives of the Study 9
1.5 Method of Study 9
1.6 Research Hypotheses 12
1.7 Scope and Limitations of the Study 13
1.8 Organization of the Study 14
Chapter 2 Literature Review 15
2.1 The Concept of Innovation 15
2.2 Innovation Process 17
2.3 Drivers of Innovation 29
2.4 Types of Innovation 45
2.5 Innovation and Business Performance 49
2.6 Conceptual Framework of the Study 52
2.7 Working Definitions for the Study 54
Chapter 3 Research Methodology 56
3.1 Research Area 56
3.2 Sampling 61
3.3 Profile of the Respondents and Businesses 62
3.4 Data Collection 65
3.5 Assumption for Multiple Regression Analysis of the Study 66
6
Chapter 4 Analysis on Innovation of Confectionery Businesses 67
4.1 Testing of Reliability and Validity of the Driving Variables 67
4.2 Analysis on Types of Innovation 76
4.3 Analysis on Innovation Drivers of Each Type of Innovation 80
4.4 Analysis on the Influence of Innovation on Firm Performance 87
4.5 Analysis on Effect of Innovation on Firm Performance 89
Measure
4.6 Summary Innovation and Performance of Confectionery 95
Businesses
Chapter 5 Conclusions 97
5.1 Findings and Discussions 97
5.2 Suggestions and Recommendation 102
5.3 Needs for Further Study 104
References
Appendixes
7
LIST OF TABLES
Table No. Description Page
3.1 Distributions of Firms in Confectionary Industry 57
3.2 Number of Registered Confectionary Firms by Townships in 60
Mandalay Municipal Area
3.3 Distribution of Confectionary Businesses by Type 61
3.4 Number of Firms in Different Types of Product by Township 62
3.5 Profile of the Respondents 63
3.6 Profile of Businesses 64
4.1 Descriptive Statistics and Reliability of the Driving Variables 68
4.2 Validity Test for Intellectual Capital 69
4.3 Validity Test for Organization Structure 70
4.4 Validity Test for Organization Culture 71
4.5 Validity Test for Market Strategy 72
4.6 Validity Test for Manufacturing Strategy 73
4.7 Validity Test for Customer Needs and Wants 74
4.8 Validity Test for Intensity of Competition 75
4.9 Validity Test for Technological Opportunity 76
4.10 Mean Values of Product Innovation 77
4.11 Mean Values of Process Innovation 77
4.12 Mean Values of Marketing Innovation 78
4.13 Influential Types of Innovation and Types of Business 79
(Measured by Mean Value)
4.14 Drivers of Product Innovation 81
4.15 Drivers of Process Innovation 84
4.16 Drivers of Marketing Innovation 86
4.17 Influencing Innovation Types on Firm Performance 88
4.18 Influencing Innovation Types on Firm Performance Measure 89
(Number of Employee)
4.19 Influencing Innovation Types on Firm Performance Measure 91
(Production Volume)
8
4.20 Influencing Innovation Types on Firm Performance Measure 92
(Sales Volume)
4.21 Influencing Innovation Types on Firm Performance Measure 94
(Profit)
4.22 Summary of Innovation Drivers of Confectionery Businesses 95
4.23 Summary of Innovation and Performance of Confectionery 96Businesses
9
LIST OF FIGURES
Figure No. Description Page
2.1 Three Phases of a Simplified Innovation Process 19
2.2 Modeling Factors that Propel Innovation 30
2.3 Internal Determinants of Innovation 31
2.4 External Determinants of Innovation 32
2.5 Various Elements Affected on Innovation 33
2.6 Factor Structure of an Integrated Innovation Model 34
2.7 Determinants of Innovativeness Model 35
2.8 Market Orientations and Firm Innovativeness, and Innovation 40
Performance
2.9 Organizational Characteristics, Innovation Behavior and Firms’ 50
Performance
2.10 Innovation and Related Factors 51
2.11 Conceptual Framework of the Study 54
10
LIST OF ABBREVIATIONS
ANOVA
EBRD
GDP
GROI
GROS
MAFPEA
NPD
OECD
ORCI
R & D
ROI
ROS
SMIs
SRS
VIF
Analysis of Variance
European Bank for Reconstruction and Development
Gross Domestic Product
Growth Rate on Investment
Growth Rate on Sales
Myanmar Agricultural Food Processors and Exporters
Association
New Product Development
Organization for Economic Cooperation and Development
Organizational Renewal Capability Inventory
Research and Development
Return on Investment
Return on Sales
Small and Medium Industries
Simple Random Sampling
Variance Inflation Factor
11
CHAPTER 1
INTRODUCTION
Myanmar is undergoing a significant political and economic transformation.
To succeed, Myanmar must reach a more rapid, sustainable and equitable
development trajectory. This requires a transformation of the economy from an
agrarian base reliant on small scale agriculture towards a broad range of modern
activities. The country needs to develop its industries because they are the key engine
for boosting the economy and creating job opportunities. The businesses are now
bringing new ideas to the market through innovation. In Myanmar, economic reform
measures for various sectors are aimed at adopting a market oriented system for
encouraging private investments and entrepreneurial activities.
Industrial zones are developed for creating jobs for people in new
townships‚ relocating industries in residential quarters and promoting national
entrepreneurs. However, the industrial zones have been facing many
problems‚ including lack of infrastructure‚ insufficient skilled workers and bank
loans‚ uncompetitiveness due to high production costs‚ land price speculation and
dispute between workers and employers (The New Light of Myanmar‚ August 30,
2014). Many questions have arisen to how these problems can be faced and survived
among them. Therefore there is a need to consider the factors that support the firms to
get competitive edges and survive in the industry.
Since innovation is one of the most important means through which businesses
contribute to economic growth, numerous research studies were conducted to
determine which factors positively impact the innovative efforts of businesses. To be
successful over a long period of time, firms must develop the ability to innovate and
then to profit from that innovation (Nelson, 1991). Innovation is an important driver
of the firm’s improvements. On the other hand, various factors influence firms’ ability
to innovate. It is needed to examine internal and external drivers of innovation.
Therefore this study also intends to find and analyse the factors influencing on
innovation and performance of confectionery businesses.
12
New product development is critical for long-term firm performance and has
become a major source of competitive advantage as companies face increasingly
volatile external environments characterized by shorter product cycle time and ever
quickening technological developments. Moreover not only local brand but also
international ones enter into the market. Thus, innovation is necessary to meet the
consumers’ changing needs and wants. Especially, foreign brands come into the field
of confectionery industry in Myanmar. Therefore the confectionery firms need to be
innovative in conducting their firms to be more competitive in the market. Innovation
is an important driver of the firm’s improvements. On the other hand, various factors
influence firms’ ability to innovate. Therefore the drivers of innovation will be needed
to find out. For this reason this study intends to explore the factors affecting on
innovation that is an important way for businesses to achieve competitive advantage.
1.1 Rationale of the Study
Myanmar has increased manufacturing activities but still is an agricultural
country. The manufacturing sector accounted for the lion’s share of Myanmar’s
economy from 2014-2015 at 19.9% of GDP (The Myanmar Consumer Survey, 2016).
Food industry comprises 63.5% of manufacturing sector (Ministry of Industry (1),
2012). Food and beverage production strongly dominates the private manufacturing
sector in Myanmar. It is quite interesting to learn that various food processing
industries are providers of peoples’ daily needs, which include not only food for
breakfast and fast food but also as gifts for those paying respect. In this regards, these
industries provide not only demand for market and consumers but also compete with
various foreign brands so innovation is crucial in these industries.
Myanmar food industry comprises of several distinctive segments. The
confectionery industry is also one of the segments in food industry. These include
baked goods (bakery products) like biscuits, crackers, cookies, bread, cakes and
confectionary products. Confectionery is defined as the art of making confections
which are food items that are rich in sugar and carbohydrates. Confectionery is
generally divided into two broad categories, bakers’ confections and sugar
confections. Bakers’ confection, called flour confections, includes sweet pastries,
cakes and similar baked goods. Sugar confectionary includes sweets, candy, candied
nuts, chocolates, chewing gum and bubblegum, sweetmeats and other confections that
13
are made primarily of sugar. In the Middle East and Asia, flour based confections are
more dominant (Myanmar Agro-Based Food Processors and Exporters Association,
2015-2016).
Moreover, over the last years, the Myanmar food sector has transformed as the
range of food prepared and the way it is consumed in Myanmar has changed. More
international food brands are coming into the market and there is a rise in the number
of local food producers, giving consumers greater choice. The food industry is poised
for growth and there are huge opportunities for local food producers and multi-
national food companies. Therefore Myanmar food industry innovates to add value
and to meet evolving consumer demand. The industry has responded to the dynamics
of consumer demand and food retailing by introducing new product offerings that
meet growing demands from consumers for healthfulness and quality.
Bakers’ confections include sweet baked goods, especially those that are
served for the dessert course. Major categories include cakes, sweet pastries,
doughnuts and cookies. This study focuses on bakers’ confectionery industry in
Mandalay. The reasons for choosing this industry as study area are as follows. Firstly,
according to official statistics, the share of Food and Beverage industry in gross
domestic product (GDP) was 15% on average in the 1990s, while the share of the
processing and manufacturing sector to total GDP was just 9% in 1990-1991
(Ministry of National Planning and Economic Development). The share of Food and
Beverage industry in GDP increased to 19% in 2010-2011 while the share of the
processing and manufacturing sector in the total industrial sector increased by 8%
(from 69% to 77%) from 1990-1991 to 2010-2011. Secondly according to the
Directorate of Industrial Supervision and Inspection as of 31st July, 2012, Food and
Beverage Industry includes 63.51% of all categories of registered small and medium
industries (SMIs) in Myanmar. Finally, it is not only the number of small and medium
enterprises but also the number of large enterprises in Food and Beverage industry is
more than all number of enterprises in other industries.
Moreover, in this study Mandalay region was chosen for the following
reasons. Firstly, the strategic location is one of the many strength s of Mandalay, the
second largest city in Myanmar with a population of over 1.2 million. It is also the
major trading and communication center in northern and central Myanmar. Mandalay
14
Region is located in central Myanmar and bordering by Sagaing Region to the north,
Sagaing and Magway Regions to the west, the Union Territory of Nay Pyi Taw to the
south, and Shan State to the east. Despite Nay Pyi Taw being the country's capital,
Mandalay still remains Upper Myanmar's main commercial, educational and health
centre as the capital of Mandalay Region. It is the economic hub of Upper Myanmar
and considered the centre of Myanmar culture. Most of Myanmar border trade to
China and India goes through Mandalay (Myanmar Investment Commission,
Mandalay Investment Opportunities Survey Report, 2015). This geographically well
positioned means the potential for food production and significant development for
trade. Secondly, the availability of the raw materials gives a great advantage.
Mandalay is blessed with abundant resources which provide the right environment for
food production. In Upper-Myanmar, most raw materials are easily available in
Mandalay such as the main raw material; wheat. For example Done Pyan Wheat Mill
is located in Mandalay Industrial Zone. Most suppliers have efficiently managed their
supply chain (transportation, delivery, etc…).
Most published research studies, which dealt with determining factors
significant for innovation, come from developed economies. Yet policy makers in
developing countries, faced with the task of crafting regulations to support innovation,
often draw upon the stock of knowledge from investigation of the firms in developed
economies. So an important issue for policy makers would be to find out to which
extent they can rely on these findings. Therefore this study focus on the finding
factors that influence on the innovation‚ to develop new products and to improve the
firms’ success through innovation.
Innovation enables the firms to become competitiveness and to satisfy
customers’ needs and wants that are always changing. As innovation is important in
the firms’ success, it must find the ways which affect innovation. Although businesses
can survive due to royal customers, they will not succeed without innovation. Most
businesses innovate to gain and keep customers and market share both locally and
globally. This study aims to link innovation, one of the main factors for success of
confectionery businesses, the motivating and hindering factors of innovation and their
performance.
According to the previous research, innovations became an important aspect
of every business activity due to the fact that they can create a new space for potential
15
specialization and future growth. Innovation is one of the means to be competitive and
to satisfy the customers’ needs and wants. By successfully innovating, the inventor/
business usually earns a reward in the form of money or respect. A satisfactory
outcome for the user/consumer is the improved quality, availability, diversity or
increased quantity of goods and services. The question is whether innovation is
something that can significantly improve chances of the firms in Myanmar to achieve
success.
As the country’s infrastructures are important for the development of a
country, the citizens also need to be healthy. Therefore health consideration of
foodstuff producers is important. The problem statement of the study was motivated
by the question of what are the strong factors that affect innovation and how will the
confectionary businesses be performed.
Large firms provide streams of incremental improvements. Moreover, these
firms voluntarily disseminate much of their innovative technology widely and rapidly,
as a major revenue source and in exchange for complementary technological property
of other firms, including direct competitors. Since innovation is one of the means to
become competitive and to satisfy the customers’ needs and wants, many rival large
firms use innovation as their main weapon, with which they protect themselves from
competitors and with which they seek to beat those competitors out.
1.2 Problem Statement of the Study
The revolution is emerging in many parts of the world, including
confectionary industry. Individuals demand confectionary products which match with
their changing lifestyles. This is the growing consumer trend of eating healthy foods
that promote physical and mental health, support a strong immune system and prevent
disease. Consumers want ‘on-the-go’ eating options that offer more than high fat, high
sugar and ‘empty calories’. Food providers are interpreting consumer needs in
innovative ways such as one by one packing to be more convenient.
Some food product items such as Htoe Mont, La Mont and Sanwinmakin
(kind of pudding made with flour from the heart of wheat grain, sugar, coconut milk,
oil, butter, etc as ingredients) are produced as traditional confectionary business
during the period of twentieth century. Nowadays, new food items such as Jelly
16
Pudding, Pumpkin Sanwinmakin, and Carrot Sanwinmakin are produced and sold in
the food market. In the past, packaging is done with newspapers and banana leaves
and now, neat, tidy and beautiful thick card boxes are created to meet the market
demand for consumes’ needs. Additionally, plastic boxes are produced to be more
convenient and for easy use when travelling. Branch shops are also opened to
penetrate the market and to increase market share. One significant tradition of selling
traditional confectionary businesses is that consumers can taste variety of these
Myanmar foods before they buy them.
Bakery Businesses produced European Food namely cake, bread and biscuit
in order to meet the taste of Myanmar People, Moreover, new food products are
carefully prepared to meet the standard of healthy food, in taste, ingredients etc.
Some foods are modified with easy-to-carry packages to suit the changing consumers’
lifestyles. Sales promotions are made by using better distribution system and
transportation throughout the country. These operations are conducted by the
innovation of product, process and market.
Previously, teashops and cafes sold only Marigold, Indian Pancake, but in the
later period they added cakes, La Mont and bean bread to their range of food list.
Teashop culture of Mandalay has become very popular not only as an eating place but
also as a meeting centre for discussing social and business matters. So, teashops
innovated their food products to satisfy and fulfill the demand and preference of
consumers. Today teashops are different from traditional teashops and their modified
and innovative decoration includes air conditioning and Wifi Free Service, on top of
using pure cooking oil and sugar for the consumer, giving careful consideration to the
healthy life of the people. Food producers take into account the fact that most
consumers now have much greater awareness of healthy living. In addition, the
teashop owners also take into account the cleanliness of their shops both inside and
outside, better service of waiters and waitresses and happy hours for consumers. This
study took account of some teashops and cafes as bakery businesses because of their
innovative activities in producing new products.
Innovation in the food sector is driven by trends in consumer demand for food
products with emphasis on variety, quality, nutrition, convenience, safety, reasonable
cost and environmental soundness (Barbosa and Gould, 2000). Food companies
17
naturally respond to such trends and increase their efforts as part of this response and
seek to gain a sustainable competitive advantage over other companies by exploiting
new technologies and innovations (Traill and Meulenberg, 2002; Lagnevik, Sjoholm,
Lareke and Ostberg, 2003). Therefore this study intends to explore and define the
important drivers of innovation and types of innovation for successful confectionery
businesses.
The food processing businesses need to innovate in competitive edge in order
to survive. Moreover the businesses must take the consumer protection into account
and so the following Food Regulations and Related Laws are regulated by the
government to be obeyed by food processing industry in Myanmar.
(1) National Drug Law (30.10.92)
(2) National Food Law (3.3.97)
(3) Pesticide Law (11.5.90)
(4) Fertilizer Law (1.1.2002)
(5) Plant’s animals’ protection Law (16.6.93)
(6) Infection controlling and protection Law (20.3.95)
Food and Drug Supervisory Committees, Department of Health, Ministry of
Health enacted National Food Law in 1997 in order to
(a) Enable the public to consume food of genuine quality, free from danger and
hygienic;
(b) Prevent the public from consuming food that may cause danger; or are
injurious to health;
(c) Supervise production of controlled food systematically;
(d) Control and regulate the production, import, export, storage, distribution and
sale of food systematically. (The State Law and Order Restoration Council
Law No. 5/97)
This study is confined to confectionary firms located in Mandalay only.
Mandalay is the second largest city in Myanmar, whose geographical location has
helped it develop into a focal point for the transportation of foodstuffs and goods from
many parts of Myanmar and beyond. As a result of its advantageous geographical
18
position, a variety of goods and foodstuffs are readily available in Mandalay.
Furthermore, as a result of modernization, the number of confectionary firms in the
city is increasing and the firms are trying to catch up with the environmental changes.
“Myanmar initially attempted to adjust to the changing local and global
conditions it faced” (Thant Myint, 2004: 105, 9-10, as cited in Phatcharanuruk, 2015: 3)
in “The Making of Modern Burma”. The sustained innovation, political and economic
reforms were taken place over the period 1853 to 1885. However, these reforms did
not succeed due to both internal and external conditions, but did provide the context
for the modernization that took place later during the British rule.
After Independence, Myanmar had a democratic government for a short period
of time, from 1948 to 1961, after which non-democratic socialist government held
power from 1962 to 1987, then a military government from 1988 to 2011. The
military government issued an agricultural development policy, with new techniques
and machinery introduced to the rural population. Factories were also built in the
cities. However developments over the period 1948 to 1987 brought little progress.
The Lives of Burma Women mentioned that at that time food related industries
sprung up and products such as canned fish, sweets and making or processing biscuits
were made.
Under the context of high competition and sophisticated demand of today
consumers, the confectionery business possess several strength such as abundant
natural resources, adequate human capital, sufficient local market, abundant potential
to set-up industries and availability of raw materials at reasonable cost. At the same
time, they have numerous weaknesses to face the challenges in food processing
industry mainly low production capacity, using traditional wisdom in manufacturing,
low local and international branding, low access to international markets, lack of
awareness in international standards and norms. It implies the fact that a
comprehensive research on confectionery business is critical to identify the types of
innovation that can lead to improving the performance of confectionery businesses in
Mandalay.
1.3 Research Questions
Confectionary firms in Mandalay are promoting their businesses with several
types of innovation. However, it is not still assured that all of the businesses will
19
know about the factors influencing the innovation and their performance. Therefore
the following questions are emerged.
What are the drivers of innovation?
What types of innovation are more influenced?
What are the results of innovation—such as performance results?
1.4 Objectives of the Study
Based on the specific research questions, this study set the specific objectives.
In Myanmar, many businesses face with the problems of not having enough capital,
inadequate skilled workers, high production costs, land price speculation and dispute
between workers and employers. Therefore businesses need to consider getting
competitive edges and surviving among the rivals. In this situation, innovation is an
important factor for the firm’s improvement. Moreover various factors drive the
firms’ innovation. This study aims:
1. To examine the drivers of innovation in confectionery businesses.
2. To identify the types of innovation that influence on the firm’s performance.
3. To evaluate the effect of innovation on the firm’s performance measures.
1.5 Method of Study
This study employed both qualitative and quantitative approaches for finding
out the drivers of innovation and the types of innovation and performance of the firm.
and then survey with five-point likert scale for three constructs of independent
variables, drivers of innovation: firm structure, firm culture and external factors to
innovation and three dependent variables: product innovation, process innovation and
market innovation. The questionnaire was pre-tested to check its content validity and
modified accordingly. The modified questionnaire was tested to examine its
suitability for the target population before the actual survey.
Primary data is obtained through a questionnaire from production managers or
owners, who were responsible for the production of the confectionery firms in
Mandalay. This study focuses only on manufacturing firms because these firms are
more competitive and so need to innovate for competition. Though innovation process
is started with the step of idea generation by everyone, especially the people who
20
make the decision may be from the management level in the implementation process.
Therefore the interview was carried out to obtain the required data from the
management level of the confectionary firms by using structured questionnaires.
The simple random sampling (SRS) method is used to select the sample. The
sample for this study is selected from the firms which are operating especially as
manufacturing firms within at least three years time frame. In the previous study, “the
average company 2.95 years takes for developing more innovative types of new
products” (Page, 1993, as cited in Goffin, Szwejczewski, Sweeney and New, 2000).
In the questionnaire, Likert scale questions and list type are used. The
questionnaire has been divided into two main parts. The first one is concerned with
the profile of the firm and the owners/managers. According to the framework, the
following information is included in the second section.
1. Drivers of innovation
2. Types of Innovation
3. Business Performance
In the framework, the drivers of innovation are used as the independent
variables. The types of innovation are the dependent variables. To understand the
factors influencing innovation and innovativeness, confectionary business owners and
managers in Mandalay municipal area were interviewed by questionnaires. The
questionnaire was designed to assess a firm's general characteristics, business
structures, culture, strategies, barriers and types of innovation and business
performance. The preparation of the questionnaire takes into account questionnaire
forms used in similar studies and commonly accepted measures met in the literature.
Specifically, questions are raised for independent variables regarding firm
characteristics, firm structure, firm culture and external factors using a 5 point likert
scale to inquire the importance the firm awards to each item in a scale ranging from 1
= strongly disagree to 5 = strongly agree. For barriers to innovation was prepared yes
or no questions. The questions about type of innovation are also enquired employing a
5 - point Likert scale. The respondents are asked to indicate “whether the innovative
activities are implemented or not in your organization in the last three years” ranging
21
from 1= ‘strongly disagree’, 2= ‘disagree’, 3= ‘neutral’, 4= ‘agree’, 5= ‘strongly
agree’.
On the other hand, some of the determinants of innovativeness such as general
firm characteristics (i.e., size, age and ownership status) is in a different scale (the
answer to these determinants have either nominal values or ordinal). Discussion with
some of the business owner was undertaken before the questionnaires are prepared.
Data collection began at the last quarter of 2016. The questionnaires were used to
make face to face interview with firms’ owners or upper level managers of the
confectionary businesses in Mandalay municipal area.
In the questionnaire, there were two sections. In section one, general
information of the firm were collected by using eight questions (number of
employees, firm age, ownership status, number of product items, time for NPD and
cooperators in innovation and so on) as Part A. In Part B of Section one, the personal
data of the owners/managers was collected with nine questions (position, age, gender,
educational level and the perception of innovativeness). In Section two Part A, as
internal factors, fifty nine items (11 items for intellectual capital, 9 items for
organization structure, 9 items for organization culture, 6 items for market strategy,
10 items for manufacturing strategy 6 items for customer needs and wants, 5 items for
intensity of competition and 3 items for technological opportunity) with five-point
Likert scale were used to measure the selected variables: 1 Strongly disagree, 2
Disagree, 3 Neither agree nor disagree, 4 Agree, 5 Strongly agree. In the Part B of this
section, 13 items (5 items for product innovation, 4 items for process innovation and 4
items for marketing innovation) were used to measure the innovative activities of the
business. And then five point Likert scale were used to measure the business
performance; number of employees, number of production, number of sale and Profit:
1 = Much declined, 2 = Moderate declined, 3 = Not change, 4 = Slightly improved, 5
= Improved. The last part of section two included the questions about the performance
of business.
22
1.6 Research Hypotheses
In this study, the hypotheses are tested by analyzing data collected from survey
work. These hypotheses are as follows:
H1 (a) Firm characteristics have a positive and significant effect on product
innovation.
H1 (b) Firm structure has a positive and significant effect on product
innovation.
H1 (c) Firm strategy has a positive and significant effect on product
innovation.
H1 (d) External factors have a positive and significant effect on product
innovation.
H2 (a) Firm characteristics have a positive and significant effect on process
innovation.
H2 (b) Firm structure has a positive and significant effect on process
innovation.
H2 (c) Firm strategy has a positive and significant effect on process
innovation.
H2 (d) External factors have a positive and significant effect on process
innovation.
H3 (a) Firm characteristics have a positive and significant effect on
marketing innovation.
H3 (b) Firm structure has a positive and significant effect on marketing
innovation.
H3 (c) Firm strategy has a positive and significant effect on marketing
innovation.
H3 (d) External factors have a positive and significant effect on marketing
23
innovation.
H4 (a) Product innovation has a positive and significant effect on the firm
performance.
H4 (b) Process innovation has a positive and significant effect on the firm
performance.
H4 (c) Marketing innovation has a positive and significant effect on the firm
performance.
H5 (a) Product innovation has a positive and significant effect on the firm
performance in terms of number of employees.
H5 (b) Process innovation has a positive and significant effect on the firm
performance in terms of number of employees.
H5 (c) Marketing innovation has a positive and significant effect on the firm
performance in terms of number of employees.
H6 (a) Product innovation has a positive and significant effect on the firm
performance in terms of production volume.
H6 (b) Process innovation has a positive and significant effect on the firm
performance in terms of production volume.
H6 (c) Marketing innovation has a positive and significant effect on the firm
performance in terms of production volume.
H7 (a) Product innovation has a positive and significant effect on the firm
performance in terms of sale volume.
H7 (b) Process innovation has a positive and significant effect on the firm
performance in terms of sale volume.
H7 (c) Marketing innovation has a positive and significant effect on the firm
performance in terms of sale volume.
H8 (a) Product innovation has a positive and significant effect on the firm
24
performance in terms of profit.
H8 (b) Process innovation has a positive and significant effect on the firm
performance in terms of profit.
H8 (c) Marketing innovation has a positive and significant effect on the firm
performance in terms of profit.
1.7 Scope and Limitations of the Study
This study focuses on the factors contributing to the innovative effort of
confectionery businesses and set out to investigate the innovative activities
undertaken by these businesses. From the database of the Industry Supervision and
Inspection Department, 89 confectionary firms in Mandalay municipal area are
surveyed by simple random sampling (SRS). From these firms, only innovative firms
were analyzed to explore the major drivers of innovation. The innovative firms were
selected by asking whether they introduced new product, process and market or not.
Though innovation process begins with the step of idea generation, the people
who make the decision may be from the management level in the implementation
process. In this study, it is assumed that the firms’ managers already have creative
idea. Therefore the first step of innovation process, the idea generation is to be
ignored and the study omitted the idea creation. The interview was carried out to
obtain the required data from the management level of all the innovative
confectionary businesses.
1.8 Organization of the Study
This study consists of five chapters. Chapter one is the introduction of the
study. It includes the rationale of the study, problem statement of the study, research
question, objectives of the study, method of study, research hypotheses, scope and
limitations of the study and organization of the study. Chapter 2 provides the literature
review on business innovation and performance. It describes previous major works on
definition, determinants, process and innovativeness of the businesses. Chapter 3
provides the research methodology with the research area, research method, sampling
25
and then data collection and cleansing. In Chapter 4, the analysis and interpretation
regarding the drivers of innovation and the relationship between the firms’ innovation
and performance of the firm are described. Chapter 5 presents conclusions,
recommendation and suggestions for future research.
CHAPTER 2
LITERATURE REVIEW
This chapter presents the concepts and literature review for the framework of
the study. Firstly, the concept of innovation is reviewed. And then the literature
review of the drivers of innovation, types of innovation and the performance of the
firm are described as the conceptual framework of the study.
26
2.1 The Concept of Innovation
Joseph Schumpeter (1934) as cited in Croitoru (2012) defined innovation as
"the creation of new combinations that is the introduction of new good, of new
quality of good, or of new method of production, the opening of a new market, the
conquest of new source of supply of raw materials or half-manufactured goods, and
finally the carrying out of the new organization of any industry". Excluding any
innovation and innovative activities remained in stationary stage (Bigliardi, Colacino,
and Dormio, 2011). Today it is commonly accepted that without innovative activities
the development in individual companies and the whole of the society will stop. On
the other hand it is important to know what factors influence the business innovation
and how the business succeed through innovation.
The term innovation derived from the Latin (Hsu 2005, as cited in Ottosson
2006) means new or young or novel. It has various accepted definition. For most
people “to be innovative” means to be creative and to make something new. For some
people it means a new idea, for others it means an invention (a materialized new
idea), for some a new product (a developed invention), for some others it means the
art of creating a new product or process, and still for some others it means to create a
new business. For most people “to be innovative” means to be creative and/or to make
something new.
As inventions and innovations are associated phenomena, innovation scholars
make it a point to clarify the distinction between the two. It is explained that though
invention is a prerequisite for many innovations, it is only when an invention is
exploited commercially that it results in innovation (Brenner, 1990). Another, though
less popular approach to distinguish innovation from inventions has been to claim that
inventions relates to new ideas in general whereas innovations are ideas that are new
within a specific context (Van de Ven and Poole, 1989 and Damanpour, 1987).
Research and development (R&D) is shown to be concerned with the
commitment of resources to research and the refinement of ideas aimed at the
development of commercially viable products and processes whereas innovation is
concerned with subsequent product (or service) development process.
27
Innovation, however, is considered a nebulous concept. Godin (2002) believes
that the ambiguity in meaning is caused by the following factors.
1. Depending on the analyst's research focus and convenience of data
availability, it is defined as an outcome or as an action.
2. There is no settled opinion on whether an innovation should be new to the
world, to the nation, to the industry or to the firm.
3. With reference to process innovation, a firm can be innovative both by
inventing new production processes, as well as by using new technologies
invented by others.
4. Conducting R&D as well as acquiring advanced technologies and employing
highly skilled workforce both are perceived as being innovative.
Innovation is the introduction of new ideas, goods, services, and practices
which are intended to be useful (though a number of unsuccessful innovation can be
found throughout history).The main driver for innovation is often the courage energy
to better the world. An essential element for innovation is its application in a
commercially successful way. Innovation has punctuated and changed human history
(consider the development of electricity, steam engines, motor vehicles, etc).
Moreover innovation seems to involve not only new ideas and their development, but
also change and risk (Norris, 1981).
Although the importance of innovation is widely recognized, there is no
unanimously accepted definition on what innovation means. Comparing the numerous
definitions, Goffin and Mitchell (2010) noticed that they cover a set of common
elements:
1. what is changed (products, services, business process, and manufacturing
process);
2. the degree of change (a completely new output or some modifications were
implement to a previous version of the product).
With this regard, there are radical innovations, which represent completely
changes compared to the existing ones and incremental innovations, which represent
small changes to existing products.
28
Promoting economic growth through wealth and employment creation is the
only way to reduce poverty in a sustainable way. Likewise innovation is increasingly
recognized as having an important contribution to make to organizational success,
performance and survival. Drucker (1985) argued that innovation is the tool of
entrepreneurship. In addition, both innovation and entrepreneurship demand
creativity. Creativity is a process by which a symbolic domain in the culture is
changed. Moreover the development of successful new products is one of the ways in
which companies can achieve competitive advantage. New product development
(NPD) is a process which carries a great deal of risk. For NPD to be effective,
companies have to nurture an innovative corporate culture so that everyone in the
organization is encouraged to be innovative in their work.
Most organizations are looking to find the potentials for creating competitive
advantages. The ability to develop new products is among the capability benefits and
it’s also the central point in contesting for many industries and in fact new products
develop more and therefore there is more profits and create a competitive advantage
for companies.
2.2 Innovation Process
The multistage process whereby organizations transform ideas into
new/improved products/services or processes, in order to advance, compete and
differentiate themselves successfully in their marketplace (Baregheh, Rowley, and
Sambrook, 2009). Firms are also motivated to improve processes in order to reduce
costs, expand their production possibilities and also to improve production flexibility
and co-ordination (Davies 1988, Tirole 1988, Davenport 1993). There are three main
stages in the innovation process:
1. Generation of ideas: individuals and teams are producing new ideas and
improving existing ones.
2. Harvesting ideas: the act of gathering the ideas, sifting through them and
evaluating them.
3. Developing and implementing the ideas: the research, testing, improving and
development of the ideas and their implementation (Thomas, 2006).
29
To innovate is to introduce something new – product, method or service. It is a
combination of two processes: generating new ideas and implementation of them.
Innovations, a type of change which can be either a series of steps or one huge leap
towards in a desired direction.
Innovation calls for good leadership management at all levels of the
organization. Good leaders will stimulate people to be more hand on and interested in
their work, and in turn, this will lead to the generation of more good ideas. Managerial
leaders are needed for change to be able to happen and change brings about the need
for leaders.
A general interest in all things leads to ideas. The recognition by management
of these ideas leads to greater job interest, a deeper involvement and commitment
from staff. However innovation is more than having new ideas, practical and
commercial products or services. Most change happens gradually a development of
existing ideas, products and services.
According to Verworn, Hersttt, Nagahara, Luthje, and Herstatt, (2000/2006) a
simplified innovation process encompasses several systematic steps such as
requirement analysis, idea generation, idea evaluation, project planning, product
development, product testing, and product marketing.
30
Figure (2.1) Three Phases of a Simplified Innovation Process
Source: Verworn et al. (2000/2006)
As shown in Figure (2.1), there are three phases of a simplified innovation
process. These three phases are conception, implementation and marketing. Firstly it
is needed to transform the new ideas into new product and then need to test and try
whether the new product may be commercialized. This study emphasized on the
implementation process to assess the relative contribution of the drivers of innovation,
the types of innovation and performance of the firm.
Most organizations are looking to find the potentials for creating competitive
advantages. The ability to develop new products is among the capability benefits and
it is also the central points in contesting for many industries and in fact new products
develop more and therefore there is more profits and create a competitive advantage
for companies.
In response to environmental changes in an appropriate manner, companies
suspend or modify production or supply of some products. In addition, in order to
identify and supply customers’ demands in different markets and to launch long term
business and increase commercial outcomes, the companies must develop new
products. New product development is a term used to describe a complete process to
achieve a new product, a process beginning from ideas and ending to commercial
exploitation of the new product. Companies have to modify previous products or even
develop new products not only for improvement but also for survival in the
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3 Phases of a Simplified Innovation Process
Conception Implementation Marketing
• RequirementAnalysis• Idea Generation• Idea Evaluation• Project Planning
• Development/Construction• Prototype Dev.• Pilot Application• Testing
• Production• Market Launch and Penetration (national /international)
competitive environment; so that developing new products with superior quality,
reduced cost and time (from designing to reaching marketplace) assures customers’
satisfaction and profitability. New product development is a substantial approach for
company survival in a competitive market.
The product innovation process involves a series of sub-processes dominated
by the product development process. Product development can be defined as “the
process that transforms technical ideas or market needs and opportunities into a new
product and on to the market”. It includes strategy, organization, concept generation,
product and marketing plan creation and evaluation, and the commercialization of a
new product. The product development process is a disciplined and defined set of
tasks, steps, and phases that describe how a company repetitively converts ideas into
saleable products and/or services. The product development process itself can be split
up into three phases: policy formulation, idea finding and strict development.
Enterprises must constantly innovate and conduct research on new products,
choose appropriate products with new technology, cope with customer demands and
the threat from new competitors. A new product development (NPD) strategy is an
important activity that helps enterprises to survive and make continuous
improvements. Most enterprises have now placed great emphasis on shortening the
time for a new product coming into the market. Analyzing performance impact of
customer interaction in new product development on a more general level can yield
important managerial insights.
The US based Product Development & Management Association defines new
product development as “A disciplined and defined set of tasks and steps that describe
the normal means by which a company repetitively converts embryonic ideas into
saleable products or services” (Belliveau, Griffin and Somermeyer, 2002, as cited in
Amue and Adiele, 2012) . According to Wheelwright and Clark (1992), companies
need to be able to bring new products fast to the market in order to succeed in the
global and dynamic competition, products that satisfy the expectations of the
customer.
In fact, it is largely accepted that NPD is remarkably important for the
survival, sustainable competitive advantage and performances of every company
(Cormican and O’Sullivan, 2004; Di Benedetto, Calantone, Van Allen and Montoya-
32
Weiss, 2003; Song and Parry, 1997; De Brentani, 1989). The development of a new
product by a company begins when the need to create a new product appears either
due to the emergence of a new technology, or the appearance of a competitive product
or a change in the existing legal framework and is completed with the final
introduction of the product in the market.
A company or an enterprise may proceed to a new product development
whether that company or enterprise is part of a rapidly changing market or not. Those
new products may be based on other already existing ones and act as a complement or
improvement to existing offerings, or may be totally new products based on new
technology without the need of support from others. A company or enterprise decision
to develop a new product is probably one of the most important decisions to be made
in the history of that company or enterprise, because a new product development is
directly linked with the development and the evolution of that company or enterprise.
Song and Montoya-Weiss (1998) considered the growing in current market
and technology strategy lead to incremental new product development. A
development strategy that pursues a new market with a new product and technology
will create a “real new product”. A strategy involving a current market and new
product or new market and current product is classified as a moderate innovation.
The “newness” of a new product can vary from high to low and depends on
whose perspective and what is new. The different perspectives yield the following:
1. New to the world
2. New to the industry
3. New to the manufacturing firm
4. New to the market
5. New to the customer
Viewed in terms of what is new, yield the following:
1. New technology
2. New process
3. New features
4. New uses
5. New design
33
The degree of newness is an indicator of the difference between the new
product and the existing one. The change (depending on the perspective) can vary
from minor or incremental to major or radical.
In the other study, information on customer needs and user experiences were
viewed as resources companies depend upon for successfully developing new
products. Due to the advances in science and technology and the rapid changes in the
market, a product’s life cycle has become much shorter than before. Therefore
enterprises must constantly innovate and conduct research on new products, choose
appropriate products with new technology, cope with customer’s demands and the
threat from new competitors. A new product development (NPD) strategy is an
important activity that helps enterprises to survive and make continuous
improvements.
Cooper (1983) proposed a new product development procedure. This
procedure covers various activities such as creation, creation dissemination,
preliminary product development, economic analysis, product prototype test, pilot
run, product mass production and entry to market.
Song and Parry (1997) adopted four indexes to measure the comparative
success level for a manufacturer’s new product as: (1) overall profit; (2) new product
sales compared with competitors; (3) profit rate for new product compared with
competitors; (4) new product success compared with the expected profit. Calantone,
Di Benedetto, and Haggblom (1995) utilized the return on investment (ROI) and the
growth rate on investment (GROI), return on sales (ROS) and growth rate on sales
(GROS) and market share and growth rate as performance measurement indexes.
Cooper (1984) chose three indexes to measure new product development performance:
(1) overall performance of new product; (2) success rate of new product development;
(3) effect of new product on a company.
Hopkins (1981) took five indexes to measure new product development
performance: (1) finance evaluation; (2) objectives evaluation; (3) rate for new
product accounted for in the gross sales amount; (4) percentage of successful new
product development; (5) overall subjective satisfaction scores for new product
development. Dwyer and Mellor (1991) used four indexes: (1) assessment of the
34
overall success or failure; (2) profit level; (3) sales goal; (4) opportunities that could
be brought by the new product in the future.
Sixotte and Langley (2000) thought that cross department horizontal
communication and information exchanges could greatly decrease the uncertainty in
new product development and improve new product development performance.
New product development strategy thought that there were four variables
concerning a new product development strategy (Cooper 1984).
(1) Orientating the enterprise to a new product: This includes creating a new
product, developing a better product for meeting the customer’s demand than
that of competitors, and product concentration and differentiation.
(2) Market characteristic adopted by the new product: This includes the
characteristics for a new market, customers, competitors and new sales
channels.
(3) The enterprise’s technological orientation and commitment: This includes the
percentage of R&D expense to sales amount, company’s R&D orientation,
etc.
(4) Technological characteristic adopted by the new product: This includes more
advanced and complicated technologies, closely matched with the company’s
R&D resources, technical maturity and concentration.
Komininos, Milossis and Komininos (2002) stated that an enterprise should
follow the new product development model for the proper development of a new
product in New Product Development.
1. Creation of ideas
2. Evaluation of ideas – Selection of final idea
3. Product development
4. Manufacture of prototype
5. Product promotion
35
1. Creation of Ideas
Prior to the development of a new product, it is necessary to have some initial
ideas for new products, one of which will become the new product. The creation of
those ideas forms the basis for the proper development of a new product.
a. Ideas from customers or users of company products
Ideas for new products can quite easily ensue from the customers of the
company or from users of previous company products. In this case, the golden rule is
for the company to offer its customers what they want and not what the company
thinks they want. Gathering such ideas is very easy with the use of questionnaires
either upon the purchase of a product (research at the product outlets), or over the
phone (telephone research based on the company clientele list), or through the
Internet (on-line questionnaires).
b. Ideas deriving from market research
Market research is another good source of ideas for new products. The
successful development of a new product requires very good knowledge of customers
and their needs and, more generally, of the market to which the new product is
addressed. Thus, all the more companies or enterprises develop new products based
on the orientation of the market. The orientation of the market can be defined as a set
of interlinked procedures and activities, aiming at the creation and fulfillment of
customer needs through constant assessment of those needs. In other words, the
enterprises that develop their products based on market-orientation, develop tools to
study the market and elaborate development strategies to constantly satisfy the needs
and desires of the customers – consumers.
Market-orientation studies on companies in Scandinavian countries and the
USA have shown that, despite a significant and intense government intervention and a
low level of competition, those enterprises barely use this mean. On the contrary,
Japanese enterprises depend all the more on the development of products through
market orientation studies. As to European and other Asian enterprises, studies have
shown that the market-orientation analysis process is very important especially for
36
those enterprises that are based on rapid technological changes; it is equally important
within the framework of those markets characterized by stiff competition and doubt.
All the above-mentioned studies point to the fact that, the use of market-
orientation studies as a mean to guide the development of new products depends on
the cultural differences between the markets of the various countries on the globe.
c. Ideas deriving from competitors
Expos, shows and seminars of rival companies may be a very good source for
the creation of ideas, because through these events a company may become informed
on market innovations, on technological advances, as well as on possible
improvements on existing products – competitive or not.
Kotabe (1990) concluded that the product innovation level has a direct relation
to performance, i.e. the higher the product innovation level, the better performance.
However Davies (1988) investigated three new product development cases with seven
activities proposed by Booz, Allen and Hamilton, among which two are failed and
one succeeded. Both the two failed indicates that omitting the important developing
activities, product test, will lead to failure. While another succeeded case for new
product in a hotel is mainly due to implementation of product development activities
step by step.
Cooper (1984) investigated 58 innovative industrial products from 30 different
industrial companies. In the following seven new product developing activities, the
successful cases had complete implementation activities. The failed cases omitted
important activities, such as: creation filtration, market research and product prototype
tests using customers. Hise, O’Neal, McNel and Parasuraman, 1989, as cited in Kleef,
2006) concluded in their studies that a company that performs its operations without a
specific procedure or lacking a complete development schedule would decrease its
success rate for new product development and entry to market. If a non-dominant
company wants to bring a brand new product into a new market, that company must
adopt a complete procedure. If that company wants to bring an existing product into
another country, creation generation, conception evaluation and some other
procedures could be omitted.
37
d. Ideas deriving from company employees or dealers
Company employees and dealers may prove valuable to the creation of ideas,
when that company is operating on a market through them. They are the ones who are
in constant contact with the public – customers or not – from whom they can draw
information regarding company products. The public may inform them on potentially
necessary improvements, complaints on existing products or the need for new
products. Furthermore, in cases where the market is differentiated due to its
geographical position, dealers and employees are the only ones who can offer such
sort of information to a company based far away from the market it is addressed to.
2. Idea Comparison and Assessment (Screening)
The second stage of the product development model is the evaluation of ideas.
In this stage, the ideas are assessed based on objectives, sales and profit and
customers and users.
a. Assessing ideas based on company objectives
The assessment of new product ideas based on the objectives of a specific
enterprise and its strategic course in any market may enhance its objectives, also
allowing it to select the optimum idea for the development of a new product in
accordance with the future course of the enterprise as set through its strategic
planning. This way, selecting the appropriate strategy may also function as a guide for
the assessment of various ideas and the adoption of the best one amongst them.
b. Assessing ideas based on sales and company profit
Each new product to be developed or each new idea to be made into a new
product should be capable of producing a minimum percentage of sales, and
consequently profit, for the enterprise.
c. Assessing ideas based on big customers and users
An important issue that many companies, big or small, tend to overlook is the
assessment of new ideas, which could develop into new products, deriving from big
customers and users. The most common phenomenon is the full development of a
38
product ensuing from a good idea, without the slightest involvement of the end-users,
due to the large enthusiasm entailed in such a development. As a result, when the
product is introduced in the market it fails, jeopardizing not only the investments
made for its development, but also the future of the company.
3. Product Development
The third stage of product development model is to produce product through
research and development.
a. Research and Development
For the development of a new product, in most cases it is necessary to use
research and development departments within the company. The aim of these
departments is to perform research on new technological and non-technological
applications and to further develop them into products. The basic factors constituting
the proper organization and operation of such departments are finance, manpower,
management and so on.
b. Environmental Restrictions
The enactments of strict environmental regulations and consumer awareness
as to the protection of the environment have led many companies to the development
of new products bearing in mind the protection of the environment. However, such a
tactic bears consequences on the way these products are developed, since it concerns
their production, consumption and final disposal as refuse. Either way, each change
as to the way these new products are produced in order to be environmentally friendly
is very costly. The high cost of those changes gave birth to the new product
development tactic known as “Green design”.
This tactic consists of two strategies: the first one is trying to find ways to
reduce environmental pollution during the production and development of the new
product, and the second one is attempting to find ways of reducing pollution after the
use of the product, by optimizing recycling or re-use of part of the product or the
product as a whole.
39
4. Prototype Manufacture
The fourth stage is the development of prototypes that is conducted by
advanced technology.
a. Prototyping
The rapid development of models or prototypes may largely reduce the
development cost and the product development cycle. In addition, they can be used in
test markets prior to the entry of the product in the final production and
commercialization stage.
b. Market Testing
Each new product should be subjected to a limited or extended market testing,
so as to record the reactions of the market and thus perform the final changes or
improvements on the product or even on the way it is developed prior to its full
introduction in the specific market.
5. Promotion of the Product
The final strategic plan for the development of a product before it enters the
market is probably the most important product development step, since it places the
emphasis on the details regarding the presentation, use, etc. of the new product in the
market.
In managing innovation, Tidd, Bessant and Pavitt (2005) presented the four
important routines for innovation as followed:
Successful innovation is strategy-based.
Successful innovation depends on effective internal and external linkages.
Successful innovation requires enabling mechanisms for making change
happen.
Successful innovation only happens within a supporting organizational
context.
40
2.3 Drivers of Innovation
The origins of the determinant perspective to the study of innovation and other
phenomena within the social sciences could be traced to Francis Bacon’s pioneering
work on the scientific method (Bacon, 1902, as cited in Vyas & Renuka, 2013). The
conclusions of capacious investigation of innovation from a determinants perspective
can be better appreciated by dividing them in two parts, endogenous and exogenous
determinants, which can be then divided in two further sub-parts strategic and non-
strategic determinants.
Endogenous strategic determinants crystallised by previous research include
market-orientation (Kohli & Jaworski, 1990), learning process quality (Cohen &
Levinthal, 1990), technology policy (Ettlie & Bridges, 1984); use of cooperative
networks (Beaver & Prince, 2002) and managerial efficiency (Moore, 1995) whereas
endogenous non-strategic determinants include characteristics of entrepreneur
(Casson, 2003), innovativeness of people (Patterson, 2001), existence of innovative
teams (Anderson & West, 1998), financial adequacy (Beaver & Prince, 2002) and age
and size of enterprise (Acs & Audretsch, 1990; Schumpeter, 1934, as cited in
Croitoru, 2012).
Degree of industry concentration, barriers to entry, and intensity of
competition are industry specific exogenous determinants (Acs & Audretsch, 1990)
whereas, regional economic performance (Roper, 2000); industrial policy and
legislation (Antonelli & Calderini, 1999); networks (Breschi, 1999); level of
entrepreneurship (Acs & Audretsch, 1990), potential for spin-off (Oakey, Rothwell &
Cooper, 1988), society’s attitude towards innovation (Rothwell & Zegveld, 1982) and
headquarter branch ratio (Oakey, Rothwell & Cooper, 1988) are region specific
exogenous determinants. Moreover environmental factors, regulations and standards
have also become significant drivers of innovation in the food industry (Jongen and
Meulenberg 2005).
Yachmeneva (2014) also analyzed the factors affecting the level of
innovativeness of the enterprise and identified the relationship between innovation
and the characteristics of its activities by grouping as external and internal
environmental factors. Environmental factors are divided into macro and micro
factors. Macro environmental factors; includes the factors of indirect influence,
41
Determinants of innovation • External factors • Internal factors
Obstacles to innovation
Innovation •Whether innovated or not •Type of innovation
included the legal political, social, technological, economic, sustainable and climatic
factors and micro environmental factors; as factors of direct influence, included the
suppliers, competitors, customers and contact audience.
Figure (2.2) Modeling Factors that Propel Innovation
Source: Radas & Bozˇic´ (2009)
In studying Croatia’s emerging transition economy, Radas & Bozˇic´ (2009)
explored factors that drive and hamper innovation. A number of studies were
conducted recently with the goal to discover which factors contribute to innovation
efforts (Keizer, Johannes and Halman, 2002). Following Keizer et al. (2002), the
factors that have effect on innovation can be divided into internal variables which
refer to characteristics and policies of the firms and external variables which refer to
opportunities that firms can seize from its environment.
Vyas (2009) considered market orientation, learning processes, technology
policy, cooperation and networks, managerial efficiency, age of enterprise, size of
enterprise, human resources, innovative people and financial resources as the internal
drivers of innovation. Radas (2009) studied innovation subsidies by municipality,
innovation subsidies by the government, collaboration with other firms or institutions
and market scope as external factors.
42
Figure (2.3) Internal Determinants of Innovation
Source: Vyas (2009)
Various authors argued that innovation is a very important economic factor
which cannot be ignored. Unlikely developed economies Keizer et al. (2002), Radas
and Bozˇic (2009) found that innovation subsidies are not linked to innovativeness. A
very small number of firms received a subsidy suggests that the existing subsidy
schemes are not effective.
43
Internal characteristics
Strategic Non-Strategic
Market Orientation
Age of Enterprise
Learning processes
Size of Enterprise
Technology Policy
Human Resources
Cooperation and networks
Innovative People
Managerial Efficiency
Financial Resources
Figure (2.4) External Determinants of Innovation
Source: Vyas (2009)
Chryssochoiclis (2003) stated that the following factors as businesses external
environment association with product innovation.
1. Increased uncertainty of the external environment
2. Increased heterogeneity of the external environment
3. Increased dynamism of the external environment
4. Technological elements of the external environment
5. Competitive dynamics and hostility
6. Type of industry
Moreover perceptions of the external environment can vary with CEO/top
management’s ability to scan and interpret the organization’s external environment.
The top management perception may act as a moderator in the link between the nature
of the external environment and decision-making regarding product innovation as a
44
Industry Region
Concentration Headquarter branch ratio
Industrial policy
Competition
Entrepreneurship
Attitude towards innovation
Barriers to EntryPotential for
spin-off
Regional economic performance
Research Networks
External
Technological and organizationalresourcesTechnology and equipmentacquisitionExternal knowledge acquisitionProduction preparationCommercialization preparation
Information managementInternal sourcesMarket related sourcesOthers sources of information
Firm’s performanceEffects on product Effects on processesOther effects
Contingent factorsFirm’s sizeType of market
CooperationOther firms
R&D activitiesInternal R&DExternal R&D
Human resourcesR&D personnel
Financial resourcesR&D expenses
Innovation resultsProcessinnovationProduct innovation
response to environmental changes. CEO’s personality, cognitive and demographic
characteristics such as knowledge, mental models of success, open-mindedness,
tolerance of ambiguity, age, risk propensity, education and past experience can
support to transform and implement strategies for innovation.
Vieites and Calvo (2011) studied the role of several factors and firms’
resources that could have been an impact on the development of innovative activities.
In this study, contingent factors human resources, technological and organizational
resources, information management and financial resources were studied whether they
related innovation or not.
Figure (2.5) Various Elements Affected on Innovation
Source: Vieites & Calvo (2011)
45
Gunduz, Ulusoy, Kilic and Alpkan (2013) presented several independent
principal component analyses, factor structures of innovations, firm performance,
organization culture, intellectual capital, manufacturing strategy, innovation barriers,
and monitoring strategies.
To be more effective Gunduz et al., (2013) studied the firm level
innovativeness at comprehensive view that implies here the total innovative
capabilities of the firm. With such a perspective, a long list of determinants of
innovativeness at the firm level, e.g., organizational culture, intellectual capital, firm
strategies, etc., are emerged. From this analysis reveals that among all possible
determinants considered, the highest impact on innovativeness is intellectual capital.
This determinant is followed by organizational milieu that consists of the
organizational structure and culture components.
Figure (2.6) Factor Structure of an Integrated Innovation Model
Source: Gunday et al., (2013)
46
Innovation Determinants• Firm Strategieso Collaborationo Business Strategies
Market Strategies Technology Strategies Manufacturing Strategies• Cost Efficiency• Quality• Flexibility• On-line Delivery
• Sectoral Conditions and Relationso Market Dynamism & Intensityo Public Intensiveso Barriers to Innovation
In-Firm Out-Firm
Innovativeness-Product Innovation-Process Innovation-Marketing Innovation-Organizational Innovation
Performance
Financial Performance
• Innovative performance•Markert performance
In 2015, Ulusoy, Kılıç and Günday analysized all possible determinants
considered in the following frame work.
Figure (2.7) Determinants of Innovativeness Model
Source: Ulusoy (2015)
2.3.1 General Firm Characteristics
European Bank for Reconstruction and Development (EBRD, 2014) examined size and age of firms, scarcity of innovative start-up, type of ownership, competition, research and development, human capital and information and communication technology as the internal and external drivers of innovation. This report described that innovation may be more common among larger firms that have been operating for a longer period of time. The larger and older forms are indeed more likely to introduce new product.
Radas (2009) also considered the group of factors is related to firm characteristics like firm age, share of highly educated employees, and share of full- time equivalent employees engaged in intramural R&D as internal drivers. Hurley and Halt (1998), as cited in Vyas (2009) analyzed innovation activities considering that some structural and process characteristics (size, resources, age, planning,
47
Innovativeness- Product Innovation- Process Innovation- Marketing Innovation-Organizational Innovation
Innovation Determinants• General Firm Characteristicso Firm Size o Firm Age o Ownership Status
• Firm Structureo Intellectual Capital
Human Capital Social Capital Organizational Capital
o Organizational Structure
Communication Formalization Centralization
o Organizational Culture
Management Support Work Discretion Time Availability Reward System
development and control of activities, information management, etc.) influence innovation capacity.
The theories of Joseph Schumpeter (1883-1950), as cited in Hosper (2005),
described that vertical innovations and creative destruction are the introduction by
capitalists of new and better quality consumer goods and means and methods of
production that render the previous ones out-of-date. According to Schumpeter,
business cycles are caused by innovations. Innovation can be distinguished between
what are later called breakthrough innovations and incremental innovations. This
wave of innovations leads to a period of economic expansion due to an increase in
investment and in the demand for the improved or differentiated goods. In Business
Cycles, Schumpeter suggested that economic fluctuations can be explained by the
conjunction of three cycles. These cycles are: Kitchin cycles, which last three to five
years, Juglar cycles, which last seven to eleven years, and finally Kondratieff cycles,
which last forty-five to sixty years.
Without frequent new products, companies can quickly lose competitiveness
and market share. Therefore the speed and frequency of new product development are
fundamental issues and consequently they have become a focus for management
attention. The time required to develop and introduce a new product referred to as
time-to-market or cycle time.
The large firm operating in a concentrated market is the main engine of
technological progress (Schumpeter, 1942, as cited in Vyas, 2009). According to
Schumpeter’s own work, innovation increases more than proportionately with firm
size because:
1. R&D projects typically involve large fixed costs, and these can only be
covered if sales are sufficiently large.
2. There are scale and scope economies in the production of innovations.
3. Large diversified firms are in a better position to exploit unforeseen
innovations.
4. Large firms can undertake many projects at any one time and hence spread the
risks of R&D.
5. Large firms have better access to external finance.
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2.3.2 Intellectual Capital
According to Edvinsson and Malone (1997), intellectual capital is a two-level
construct: human capital (the knowledge created by and stored in a firm’s employees),
and structural capital (the embodiment, empowerment, and supportive infrastructure
of human capital). Innovation can be seen as one of the managerial functions to be
performed to gain and maintain some competitive advantage. For this, the
entrepreneur and the key decision makers in the firm must possess a unique and
diverse set of managerial skills and capabilities. Freel (1999) believes that
management competency is one of the skills constraints affecting innovation.
Some analysts have advocated a people-centric approach to the analysis of
innovation. They claim that success in innovation is people dependant rather than
resource dependant (Rothwell, 1982) and it is the nature and quality of its work force
that determines whether a business is able to innovate or not. Freel (1999) has tried to
measure skill constraints faced by a small business and its impact on its ability to
innovate. Freel argues “… skill constraints to innovation within small firms are
generally of two principal types, management competency and skilled labor.
Dean and Kretschmer (2007) recognized that economic wealth comes from
knowledge assets -intellectual capital- and its useful application, replacing or perhaps
supplementing labor. The term “Intellectual Capital” is used as a synonym for
intangible or knowledge assets.
Moreover, employees competency needs in relation to innovative activity
appear to be greatest within strategy, business and market areas. In many firms the
lack of desire of management, the owner and founder of the firm for further growth is
an important barrier. While changed in corporate strategies raises probability of
radical innovation, implementation of new or significantly changed organizational
structures raises probability of me-too innovation. Changes in esthetic appearance and
product design leads to introduce product innovations (Radas and Bozˇic´ 2009). The
willingness to differentiate products, to increment processes efficiency and to enter in
new markets is the main reasons that have driven companies to innovate.
49
2.3.3 Organizational Structure and Culture
Radas (2009) considered organizational structure as internal driver of
innovation. Moreover, Hurley and Halt analyzed cultural characteristics that affect
innovation receptiveness. The innovation capacity, its receptiveness and structural
process, and cultural characteristics determine firm’s competitive advantage.
On the basis of the proposal by Edvinsson and Malone (1997), intellectual
capital is a two-level construct: human capital (the knowledge created by and stored
in a firm’s employees), and structural capital (the embodiment, empowerment, and
supportive infrastructure of human capital).
A paucity of integrative devices reduces face-to-face collaboration and
consultation cross functional departments, exacerbating the coordinative problems
and conflicts that arise during the implementation of new products and processes
(Miller, Droge and Toulouse, 1988). In older mature less innovative organizations, the
influence of the controlling formal structure is so tight as to illegitimise the lateral
working and information flows that are necessary to support innovation (Stopford and
Baden-Fuller, 1994).
2.3.4 Firm Strategies
Radas (2009) considered the group of factors speaks about implementation of
changes in strategy, marketing, management and about market orientation as internal
drivers of innovation. Marketing and innovation can be viewed as two basic functions
of any economic activities. Customer needs and expectations evolve over time and
delivering consistently high quality products and services and responsiveness to
changing marketplace needs become important for the success of firms (Jaworski and
Kohli, 1990). Customers today are highly informed and more demanding than before.
Market orientation is variously described as integration of customers into
product innovation processes, ability to explore and reach potential markets, a fit
between market needs and firm’s resources, product planning from inception,
targeting the international market, the span of market experience, and the
understanding of customer needs and user circumstances (Heydebreck, 1997 and
Lindman, 2002, as cited in Vyas, 2009). Heydebreck (1996) showed that the
50
integration of customers into product innovation processes leads to a higher degree of
success in achieving product development objectives.
Responsiveness to customer needs and changing market conditions become
important for the success of firms and calls for the introduction of new products and
services together with innovation capacity for a firm. Market-oriented innovations
apply to the products and services sold into the market. Inside-oriented innovations
apply to the inner workings of an enterprise and are aimed at improving productivity
and performance through establishment or change of best practices.
In the Journal of Global Business and Technology, Erdil (2013) found that
market orientation can lead to firm innovativeness and increase innovation
performance as consistent with the findings of Baker and Sinkula (1999), such that
market orientation can lead to successful new product development activity. Market
orientation as a driver of organizational market information processing activity should
be incorporated into conceptualizations of innovation process. Reacting to market
feedback may allow firms to adapt successfully in the external environment which
may be characterized both as dynamic and stable. Market orientation is a source of
new ideas and motivation to respond to the environment and promotes innovativeness
(Hurley and Hult, 1998, as cited in Vyas, 2009).
Responsiveness to changing market needs often calls for the introduction of
new products and services together with innovation capacity for a firm. Market
orientation has also been described as the implementation of marketing activities
designed to satisfy customer needs better than competitors are able to satisfy customer
needs (Martin and Grbac, 2003, as cited in Erdil, 2013). While there is some
variability in conceptualizations of market orientation, it typically focuses on three
components; 1) customer focus, 2) competitor focus and 3) inter-functional
coordination (Celuch, Kasouf and Peruvemba, 2002).
All conceptualizations have an operational focus on information gathering,
information dissemination and the ability to behaviorally respond to what is received
(Baker and Sinkula, 1999). Kohli and Jaworski (1990) define market orientation in
terms of three dimensions; 1) The generation of market information about needs of
customers and external environmental factors, 2) The dissemination of such
information among organizational functions and 3) The development and
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Collection and use of marketInformation
Development of market oriented strategy
Implementation of market oriented strategy
FirmInnovativeness
InnovationPerformance
implementation of strategies in response to the information. These elements include
continuous and systematic information gathering regarding customers and
competitors; cross-functional sharing of information and coordination of activities,
and responsiveness to changing market needs (Martin and Grbac, 2003, as cited in
Erdil, 2013).
There are the indicators to identify the level of market orientation. These
include integration of customers into product innovation processes, ability to explore
and reach potential markets, fit between market needs and firm’s resources, product
planning from inception, targeting the international market, span of market
experience, understanding of customer needs and user circumstances, competition
analysis, speed and flexibility, market research, market tests and deployment of user
feedback to modify an innovation. Moreover firms use innovation to differentiate
their products from competitors, twice as profitable (Pavitt, 1991).
Figure (2.8) Market Orientations and Firm Innovativeness, and Innovation Performance
Source: Erdil (2013)
Economists have long been interested in the relationship between competition
and innovation, but economic theory seems to be contradicted by the evidence.
Theories of industrial organization typically predict that innovation should decline
with competition while empirical work finds that it increases. The early empirical
52
literature estimated the linear cross-sectional relationships and typically found a
negative relationship between competition and innovation, confirming the theoretical
prejudices of the era (Schumpeter, 1943, as cited in Aghion, Bloom, Blundell, Griffith
and Howitt, 2005).
In the study of Kohli and Jaworski (1990), the greater the market orientation
of an organization, the greater would be the overall performance and this relationship
was moderated by such several external forces like weaker economy, greater market
turbulence and competition. The environmental contexts of an organization probably
influence its level of market orientation. Organizations in more competitive and
dynamic environments may be expected to be more market oriented. As a result, the
linkage between market orientation and performance depends on the environmental
characteristics of an organization (Jaworski and Kohli, 1993). Jaworski and Kohli
(1993) proposed market turbulence (the rate of change in the composition of
customers and their preferences), competitive intensity and technological turbulence
as three environmental characteristics. Organizations that work with rapidly changing
technologies may be able to obtain a competitive advantage through technological
innovation together with the market orientation.
2.3.5 External Factors
There has been increasing interest in the role of use of market information for
strategic purposes. External factors such as competition, uncertainty and needs are
driving forces for strategic applications of market information (Choe, 2003).
Collection and use of market information enabled by information systems is broadly
considered to be a competitive weapon to cope with uncertain and volatile
environments. Companies can deal with uncertainty by increasing their information
processing capability and by creating inter-organizational links between customers
and suppliers. When customers tastes and rivals’ strategies are dynamic, there is need
to redesign or adapt the product. Firm innovativeness described by the development
and marketing of innovations is likely to involve market, technology and competitor
uncertainty. This means need for new information, technical changes and new
organizational arrangements.
It is essential that senior managers are committed to the concept of market
orientation and fully understand the role of market information and sound overall
53
intelligence. Innovation by itself is defined as the generation, acceptance, and
implementation of new ideas, processes, products or services. The measurement of
consumer needs and purchase interest may be valid for screening continuous
innovations and market orientation induces businesses into being interested in short
term customer needs which can be detrimental to innovation and long-term success of
a company (Tse, Sin, Yau, Lee and Chow, 2003). Jaworski and Kohli (1996) suggest
that market orientation might be an antecedent to innovation and market-oriented
organizations tend to be more innovative.
One of the new external factors that impact innovation is market scope (Liu,
Luo and Shi, 2003). Firms that go international encounter stronger competitors and
therefore have to innovate in order to gain and keep their position. Additional push to
innovate comes from the fact that more competitive markets often offer higher
incentives for innovation (Sorescu, Rajest and Jaideep, 2003). For a small developing
country, the further from the head- quarters the company goes, the harder it becomes
to compete because among other things the firm has to solve increasingly complex
supply chain, logistic and marketing issues while contending with incumbent
companies.
In the supply chain context, integration is defined as the extent to which all
activities within an organization, and the activities of its suppliers, customers, and
other supply chain members, are integrated together. An integrated supply chain is
linked organizationally and coordinated with information flow, from raw materials to
the on-time delivery of finished products to customers. The entire supply chain is
linked by information about anticipated and actual demand.
Frohlich and Westbrook (2001) identify two interrelated forms of integration
that manufacturers regularly employ. The first type of integration involves integrating
the forward physical flow of delivery between suppliers, manufacturers and
customers. The second type of integration involves the backward integration of
information technologies and the flow of data from customers to suppliers.
Stevens (1989), as cited in Hosseini Baharanchi (2009) classified supply chain
integration into three levels, from functional integration to internal integration and to
external integration. However, this study focuses only on internal and external
54
integration, because functional integration is claimed as a basic requirement for all
firms to implement and achieve.
A review of external supply chain integration literature reveals two major
areas of emphasis. They are: (i) Customer integration and (ii) Supply integration. For
supply integration, integration back down to the suppliers represents a change in
attitude away from conflict to cooperation, starting from product development, the
supply of high quality products, process and specification change information,
technology exchange and design support. Some researchers have investigated supply-
side integration in different dimensions. Handfield, Ragatz , Petersen and Monczka
(1999) defined supply integration as obtaining frequent deliveries in small lots, using
single or dual sources of supply, evaluating alternative sources on the basis of quality
and delivery instead of price, and establishing long-term contracts with suppliers.
In terms of customer integration, the firm will penetrate deep into the
customer organization to understand the product, culture, market and organization, so
that it can respond rapidly to the customer's needs and requirements. The important
concept of demand integration is based on the improvement of demand planning and
visibility in supply chains. Without information sharing from one end of the supply
chain to the other, tremendous inefficiencies can occur in customer service.
Modern supply chains consist of numerous organizations. In the context of the
confectionary industry, the supply chain starts with suppliers, who provide food
ingredients and raw to manufacturers, which manufactures confectionery goods and
sells them to customers.
Recently, the complexity of food supply chains has also been exacerbated by
the need of including multiple external sources of knowledge when searching for
successful new products and technologies. This process reflects the difficulties of a
food industry in single-handedly meeting the heterogeneous needs of customers, end-
users and legislations (Sarkar and Costa, 2008). Managing the end-customer’s
demand in the food industry requires a kind of product development that involves
developing, or adopting, innovative technological solutions and new business models
(Costa, Dekker, Beumer, Rombouts and Jongen , 2007).
As products and services continue to grow in complexity, much potentially
useful knowledge will necessarily reside outside of the firm (Bercovitz and Feldman,
55
2007, as cited in Bigliardi et al., 2011). The establishment and management of
relationships with customers, competitors, suppliers, and public/private research
institutions, with the aim of acquiring additional knowledge and skills for innovation
processes, are increasingly seen as an important way for the food industry to augment
its innovation capability (Gatignon, Tushman, Smith and Anderson., 2002; Hauser,
Gerard and Griffin., 2006).
Role of suppliers and customers for innovation
According to Handfield et al., (1999), the integration of suppliers in
collaborative innovations (in particular, product innovation) can yield some
significant benefits, which include achieving reduced cost at product development,
decreased risk of failure and reduced time spent in product development. Liker,
Kamath, Wasti and Nagamachi (1996), as cited in Krishman and Ulrich (2001) also
demonstrated that the involvement of first-tier suppliers in co-design activities has
positive impacts on the performance achieved in new product development, in terms
of cost, quality and lead times. The partnership with suppliers may range from a
simple search for new technologies and innovations, up to a collaboration where
suppliers are fully responsible for the design of products required by the customer.
More precisely, there are four main ways suppliers can be involved in collaborative
product innovations (Lamming, 1993, as cited in Chen and Paulraj, 2004):
i. the supplier provides proprietary parts to a company. Often, proprietary parts
are standard components and are designed and developed only by the supplier;
ii. the supplier provides components whose functional and performance
requirements are specified by the customer, but whose engineering is handled
by the supplier;
iii. the supplier provides parts whose characteristics are controlled and defined by
the customer to a greater extent; or
iv. the supplier provides parts whose characteristics are controlled and defined
entirely by the customer.
Collaboration involves active participation in joint innovation projects with
other organizations but excludes pure contracting out of innovation-related work. It
56
can involve the joint implementation of innovations with customers and suppliers, as
well as partnerships with other firms or organizations. For the Eurostat countries,
Brazil, Israel, Japan and Korea, product or process innovative firms engage
collaboration on innovation.
In Australia, Chile and Colombia, collaboration on innovation include product,
process, marketing or organizational innovative firms (including ongoing or
abandoned innovation activities). However, marketing and organizational innovators
are less likely to be involved in collaboration.
In addition, the state economy influences on businesses. After political and
economic reforms, the government is proactively looking to Foreign Direct
Investment (FDI). With this investment comes an increasingly more affluent
population, who are looking for higher quality food and more food choices. This
presents a huge opportunity for food producers. Growing foreign investment in
Myanmar provides a good opportunity for local manufacturers to acquire
technological expertise from international companies who have been exporting high
quality products for decades. Value addition in Myanmar’s food industry is currently
relatively low with the vast majority of the industry focusing on more traditional
manufacturing methods and products. Knowledge transfer from international
companies will allow us to produce higher value products, driving the overall value of
the local food industry. For instance, Bayin biscuit invites expertise from international
to train its bakers.
2.4 Types of Innovation
Innovation is to be considered in enterprise as a crucial element to increase
profit and market share. Innovation is no longer restricted to the process of creating
something new from beginning to end but can include the capacity to quickly adopt
externally created innovations that may be of benefit to the organization. Innovation
can be considered as a necessary ingredient for firms to remain competitive (Darroch
and McNaughton, 2002; Stock, Greis, and Fisher, 2002). To be successful, the main
task of a firm is to determine the perceptions, needs and wants of the market in order
to create products with a superior value. Mosey, Clare and Woodcock (2002)
suggested that companies with aggressive growth ambitions that repeatedly
introduced innovative new products thus opening up new market niches were also
57
those that performed better. The innovativeness of a new product and firm innovation
capability is important for several reasons. Innovation products present opportunities
for firms in terms of growth and expansion into new areas as well as allow firms to
gain competitive advantage.
Many classifications of innovation types were proposed over the years. Knight
(1967), as cited in Berglund (2004) proposed the following types of innovation:
organizational structure, production process, people, and product/service. Innovation
type categorizations are based on the outcome of the innovation process. According to
several Authors, there are very different types of innovations (e.g., product
innovation, process innovation, or market innovation), and these types of innovation
can be classified by type, degree, impact, competence, and ownership (Narvekar and
Jain, 2001, 2006). These three types of innovation (product, process and marketing)
can vary from incremental to radical and from sustaining to discontinuous. Product
innovation is essential for a country’s economic growth and for the competitive
position of industry. Companies operate in a rapidly changing world in which
customers’ needs and wants are not fixed and where they face increasing competition
due to open markets and globalization. Companies that effectively integrate
innovation in the product development process can gain significant competitive
advantage.
Product innovation deals with the production of new products and services to
create new markets or to satisfy current customers. Knight (1967) and Utterback
(1971) as cited in Godin (2015) described that process innovation is reflected in the
improvements or introduction of new production technology.
According to Utterback and Abernathy (1975), product innovation is to do
more with the outputs that are introduced for the benefits of customers. Process
innovations are defined as new tools, devices, procedures as well as knowledge in
throughput technology that mediate between inputs and output.
Binary models proposed in the 1970s and 1980s discussed, variously,
administrative, technical, incremental, radical, product, and process, as types of
innovation. Radical innovation represents a completely new product or process and
incremental innovation a significant improvement in an existing product or process.
Frenz and Oughton (2005) stated that radical innovations have the power to result in
58
significant and rapid transformation of production whereas the effects of incremental
innovation are felt more slowly, though their cumulative impact may be just as
significant. Dewar and Dutton (1986) and Ettlie et al., (1984) also described that
radical innovation brings about a non-routine change to the very core on how
activities are carried out while incremental innovation is usually part of routine
changes that do not deviate much from present organizational activities.
More recently, a number of integrative models have been proposed all of
which identify a number of different types of innovation. For example, Oke, Burke
and Myers (2007) discussed the following types of innovation:
product (including radical and incremental);
service and
process (including administrative, service and production).
Most definitions of innovation emphasize ‘newness’ and ‘successfulness’.
There are distinctions made between product versus process innovation and
sometimes amongst market, business and management innovation. Product innovation
is the introduction of new products that have characteristics and/or use applications
that differ from existing products on the market. Product innovation is often made by
technology driven companies and helps companies in their competitive positioning
while retaining market presence, not only in radically changed products but also in
differentiating the offerings (Craig and Hart, 1992).
Process innovation is the introduction of a new method of production, that has
not previously been used and/or a new way of handling a commodity commercially to
make production more efficient or to be able to produce new or improved products.
Process innovation embraces reengineering the business process (Cumming, 1998)
and therefore implies the improvement of the internal operations and capacities. The
importance of process innovation is quite well understood, especially in companies
under threat since it may help to improve the company productivity.
Finally, market innovation is concerned with the mix of markets of the
company and how chosen markets are best served while accurately interpreting
buying preferences (Johne, 1999). This directly influences the sales as well as the
company results. Marketing innovation involves entering new markets, new ways of
serving customers, and/or market expansion. Marketing innovation is the offering new
59
idea generation and implementing with the marketing activities of creating,
communicating, delivering value and managing relationships.
There are three types of product innovation: line extensions, ‘‘me-too’’
products, and radical product innovation. The first two types of innovations are
usually referred to as incremental innovations. Line extension refers to minor
modification of an existing product, while ‘‘me-too’’ products are imitations of
competitors’ products that already exist on the market. Both incremental and radical
innovations have an important role. Managers design incremental innovations to
satisfy a perceived market need with products that can be developed in a relatively
short period of time (Ali, 1994, as cited in Radas and Bozˇic´, 2009). The
introduction of incremental innovation is critical for the long time survival of firms
(Banbury and Mitchell, 1995, as cited in Shankar, 2008).
According to Gunday, Ulusoy, Kilic and Alpkan (2011), product innovation is
broadly seen as an essential component of competitiveness, embedded in the
organizational structure, processes, products, operations, and services within a firm.
Product innovation is one of the fundamental instruments of growth strategies to enter
new markets, to increase the existing market share and to provide the company with a
competitive edge.
Product development can be defined as “the process that transforms technical
ideas or market needs and opportunities into a new product and on to the market”. It
includes strategy, organization, concept generation, product and marketing plan
creation and evaluation, and the commercialization of a new product. The product
development process is a disciplined and defined set of tasks, steps, and phases that
describe how a company repetitively converts ideas into salable products and/or
services. The product development process itself can be split up into three phases:
policy formulation, idea finding and strict development.
In the report of Isaksen and Smith (1997) there was presented the strengths and
weaknesses of small firms in innovation. This report identified the range of SME-
related issues in the Norwegian Industrial and innovation system. Food sector firms are
more focused on incremental innovation as opposed to radical innovation, and they are
also more engaged in product and process innovations than in packaging, position and
paradigm innovations (Baregheh, Rowley, Sambrook and Davies, 2012). The
60
innovation imperative is very strong for firms in this sector, and plays a key role in
sustaining and enhancing their competitiveness (Capitanio, Coppola and Pascucci,
2010; Grunert and Ottowitz, 1997; Rama, 2008 and Von Tunzelmann and Acha, 2005).
2.5 Innovation and Business Performance
Numerous models have been proposed to study the relationships between
innovation behavior and firms’ performance. In Spain, Camisón (1999) maintains that
firms’ competitive advantage is based on resources and capacities that are difficult to
imitate by other firms. In this model, organizational characteristics influence
innovation behavior and this affects firms’ performance.
Business performance measures can be divided into three different categories
(Hayes, Wheelwright and Clark, 1988, as cited in Reichstein, 2000):
Process Management Measures
Business Management Measures
External Reporting Measures
Process Management Measures concerns the conditions such as how long it will
take to produce and deliver a specific goods or services, measures of materials used in
the production process and amount of production factors used. Business Management
Measures like which products firms must be developing, what prices firms should be
claiming for its product and whether or not a specific product should be dropped from
the specific firm’s product line. External Reporting Measures is the performance of the
firm relatively to other firms in the market. Profits, values of production, revenues and
firm size are examples of external reporting measures. This study focused on the last
measures that reflect the effect of innovation on business performance.
There is no doubt that the employees are the main force for the organizations
and their innovative behaviors are vital for innovation performance of an
organization. The factors influencing the employee innovative behavior including
organizational commitment, psychological capital on the individual level, and
organizational innovation atmosphere, leadership, social capital, work characteristics
on the organizational level.
61
Firms’ PerformanceInnovation behaviorCharacteristics of the organization
Figure (2.9) Organizational Characteristics, Innovation Behavior and Firms’
Performance
Source: Camisón (1999)
Innovative behavior is an act of generating, promoting and application of
innovative thinking in the organization for the purpose of personal and organizational
performance, which enables employees to use innovative ways of thinking, quickly
and accurately respond to customer demand changes (Robert, 2001, as cited in Erdil,
2013; Woodman, Sawyer and Griffin, 1993; Scott and Bruce, 1994). Kleysen and
Street (2001) divided individual innovative behavior into five stages, including
looking for opportunities, generating ideas, research supporting, and applications. For
that, Huang (2004), Lu Xiaojun (2007) and others have tested it with the actual
situation, and the employee’s innovative behavior is defined as: In the work process,
employees generate innovative ideas or solutions to problems, and efforts will be paid
to the practice. The motivation of employee’s innovative behavior can be divided into
internal and external factors. Internal factors refer to innovative personal traits and
ability to participate in innovation, and external factors including the open team
environment, the support of leaders. Under the mutual working of internal and
external factors, the innovative efficacy and creative willingness of employees have
been improved. (Yang, Yang and Zhao, 2011).
62
Economic Performance
Cooperation with institution
Enterprising Courage
Firm Size
Executives’ Age
New Product and Service
Innovation Behavior
Firm Age
Figure (2.10) Innovation and Related Factors
Source: Hernández & de la calle (2006).
Following Camisón’s proposal, Hernández & de la Calle (2006), as cited in
Vieites and Calvo (2011) established a more detailed design of the relationships. The
factors related to innovation are described in Figure (2.10).
In evolutionary theories of economic change, Nelson and Winter (1982)
speculated that the processes of technological innovation and imitation are major
drivers of the relative performance of firms and the evolution of industrial structure.
Corsino and Gabriele (2010) argued that the estimated relationship between
innovation and corporate growth rate will depend on the degree of novelty of the new
devices in dealing only with product innovations.
Ibidunni, Lyiol and Ibidunni (2014) concluded that there is need for SMEs to
carry out research on product innovation; in order to meet and fulfill the demand and
expectations of all consumers and the market in product innovation.
Today it is commonly accepted that without innovative activities the
development in individual companies and the whole of the society will stop.
Therefore it is important how the development of innovation is managed and how the
work is done in the most efficient way. Moreover it is needed to find out which
factors influence innovation and new product development so that the development of
innovation can be managed well. Godin (2002) believes that innovation is considered
63
a nebulous concept due to perceive conducting R&D as well as acquiring advanced
technologies and employing highly skilled workforce both are as being innovative.
Research, over the last 50 years, has consistently linked innovation with
business success. Innovation is shown as a major contributing factor in the growth of
firms (Mansfield, 1968:1971, as cited in Vyas, 2009); new products and processes, the
fastest growing product groups or ‘clusters' (Freeman, 1974); rise and dominance of
large corporations ascribed to the use of new technology (Temin, 1979, as cited in
Vyas, 2009); better business performance related to the higher measures of innovation
(Cavanagh and Clifford, 1983, as cited in Vyas, 2013); levels of competitiveness
linked with the levels of innovativeness (Dosi, 1988); firms using innovation to
differentiate their products from competitors, twice as profitable (Pavitt, 1991);
innovation a key element of business success (Nonaka and Takeuchi, 1995); high
growth companies getting a higher percentage of sales from new products relative to
competitors, (O’Gorman, 1997); new product development leading to greater sales
volume and enhanced profitability (Kotler, 1999, as cited in Vyas, 2009); innovating
firms having lower probability of stagnant or declining employment in comparison to
non-innovating firms (Frenz, Michie and Oughton, 2003) and innovative businesses
growing more than non-innovative businesses (European Commission, 2004).
Therefore firms need to launch additional products and increase the range of
goods and services in order to maintain their viability (Baden-Fuller and Stopford,
1994). Consumer consciousness over diet and health, food safety and nutrition also
drives companies to improve the range and quality of goods (Traill and Grunert
2002).
Van Duren et al. (2003) also found that innovation was rated as a top factor
for success in the food processing industry by some successful food processors in
Canada. Traill and Meulenberg (2002) found that except for very small and very large
companies, there is no relationship between company size and innovation.
2.6 Conceptual Framework of the Study
In this section, the possible factors that may affect on innovation of the
confectionery businesses will be identified for this research. This study grouped the
drivers of innovation into two categories: internals and externals. The internal factors
64
include general firm characteristics (firm age, size, and ownership status), firm
structure (intellectual capital, organization structure and organization culture), and
firm strategies (manufacturing and marketing). On the other hand, external factors are
customer needs and wants, intensity of competition and technological opportunity.
The study examined the impact of firm size, firm age and ownership status on
the types of innovation implemented by the confectionery businesses. The innovative
personality of management and information sharing between skillful labors is defined
as intellectual capital and then analyzed that intellectual capital is an important driver
of innovation for businesses. Centralized decision making and formalized procedures
is defined as organization structure and then analyzed that organization structure is an
important driver of innovation for businesses. Rewarding for innovative ideas and
management support is defined as organization culture and then analyzed that
organization culture actually drives the firm’s innovation. Market orientation is
defined as market strategy and then analyzed that market strategy actually drives the
firm’s innovation. Cost reduction and quality is defined as manufacturing strategy and
then manufacturing strategy analyzed that actually drives the firm’s innovation.
Feedback to customer needs and wants, intensity of competition and technological
opportunity are analyzed as external drivers.
According to the innovation definitions, this study discussed three types of
innovation: product innovation, process innovation and marketing innovation. Product
innovations include the introduction of new products and services to the market and
also major improvements of existing goods and services. Process innovation includes
major changes in production methods and equipment. Marketing innovation aims to
respond better to the customers’ need.
65
Firm StructureIntellectual CapitalOrganization StructureOrganization Culture Innovation
Product innovationProcess innovationMarketing innovation
Firm performanceNumber of employeeProduction volumeSale volume Profit
General Firm CharacteristicsFirm Size Firm Age Ownership Status
Firm StrategyMarket StrategyManufacturing Strategy
External FactorsCustomer needs and wants(Customer orientation)Intensity of competitionTechnological opportunity
Figure (2.11) Conceptual Framework of the Study
Drivers of innovation
Source: Own Compilation (October, 2016)
Figure (2.11) depicts conceptual framework of the study which included the
drivers affecting on the innovation, types of innovation and performance of the
confectionery businesses. In the study, the first step is to identify the drivers of
innovation in confectionery businesses. After that the types of innovation that
influence on firm performance are examined and the effects of innovation on firm
performance are evaluated.
2.7 Working Definitions for the Study
Based on the previous literature, firm characteristics (firm age, size, and
ownership status), firm structure (intellectual capital, organization structure and
organization culture), and firm strategies (manufacturing and marketing) are used as
the internal factors. Therefore these factors are defined as follows for this study.
The innovative personality of management and information sharing between
skillful labors is defined as intellectual capital in the study.
66
Centralized decision making and formalized procedures is defined as
organization structure.
Rewarding for innovative ideas and management support is defined as
organization culture.
Market orientation is defined as market strategy.
Cost reduction and quality is defined as manufacturing strategy.
On the other hand, customer needs and wants, intensity of competition and
technological opportunity are used as external factors in the study.
The term innovation of confectionary businesses is defined as the any
newness in product, production process and marketing activities.
As the product innovation, the study considered developing new products with
new material and technology. Based on the literature review, this study defined that
product innovation consists of ingredients, convenience of consumers, and customer
satisfaction.
As a result, changing process of existing products and extension of producing
new products need to be carried out for product innovation. In the process innovation,
technology and new machines need to be changed. As a result, product quality and
productivity increased gradually. The process innovation included changing the use of
manpower and machines from kneading to packing over time to time.
Marketing innovation includes changing product promotion techniques,
distribution channels and product appearance, packaging, shape and volume necessary
in order to adapt with the market needs.
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CHAPTER 3
RESEARCH METHODOLOGY
This chapter presents the research method as well as the scope of the study,
research method and sampling, data collection method and data analysis. The chapter
is structured as follows: section one introduces the research area, section two presents
sampling design and sample size determination, section three describe research
method, section four disclose the profile of respondents and businesses and finally
discusses data collection and cleansing.
3.1 Research Area
In Myanmar, food and beverage industry is the largest sector in number of
business and employee. Among the number of registered firms 43784 in Myanmar,
28134(64%) are food and beverage firms. Private own food production enterprises
registered with the Ministry of Industry amounted to 27290 (Ministry of Industry,
2015). Myanmar food industry is producing for local market only (MIA, 2009).
According to the Table (3.1), in the distribution of firms in confectionary
industry, the number of firms in Yangon region is the largest with 177 but Mandalay
region also has the second largest number of confectionary firms with 162 (Ministry
of Industry (1), 31-7-2012). In Mandalay, not only Bakery Business, the traditional
confectionary firms such as Myint Myint Khin, Maw Maw San but also Teashop and
Cafe prospered in this region. Previously, teashops and cafes only sold Marigold,
Indian Pancake, but later they added cakes, La Mont and bean bread to their range of
food list. Teashop in Mandalay has become not only an eating place but also a
meeting centre for discussing social and business matters. In this way, teashops
innovated their food products to meet the demand and preference of consumers.
Most of the people have invested in food and beverage industry (CEO
Magazine, 2017). At the same time, food security for the people and innovation in
68
product, process and marketing of food stuff are very important factors for the
businesses. In Mandalay, confectionary businesses are quite innovative in running
their businesses. However, there is no assurance that all of the businesses will know
about the factors influencing the innovation and the business performance. Therefore,
the aim of the research is to explore which factors are driving the innovation and
performance of the confectionary businesses.
Table (3.1) Distributions of Firms in Confectionery Industry
No State/Region Total
1 Kachin 18
2 Kayah 10
3 Kayin 15
4 Chin -
5 Mon 77
6 Rakhine 8
7 Shan 58
8 Yangon 177
9 Mandalay 162
10 Sagaing 22
11 Mgway 14
12 Bago 39
13 Ayeyawady 89
14 Taninthayee 34
Total 723 Source: Ministry of Industry (1), 31-7-2012
In the past, confectionery firms were not as developed in Mandalay as present.
The confectionary firms used to produce traditional snacks such as Htoe Mont, La
Mont, bakery firms produced cake, cookies and bread and café and teashop with
catering service.
Traditional snacks firms were located in Zay Cho Thit Thee Tan.
Confectionery firms were located as Mont Sone Tan in Mandalay Zaychodaw
69
(Zaycho market). Bakery businesses first started in Myanmar during the British
Colonial period. It was learnt that biscuit factories were established in Mandalay over
the period 1948 to 1987 (Phatcharanuruk, 2015). Some bakers’ confectioneries
existed at their own places such as Lakabar and Pawe Tai cake. Some of these firms
are still achieving some measure of success. On the other hand there are still other
firms that are not able to engage in innovative activities due to lack of enough capital
and poor customer adaptation to changes in brand, packing design and taste. In the
market economy, customers are becoming very knowledgeable and most consumers
are becoming much more health conscious.
The first tea shops in Mandalay were opened in 1942. It was opened to serve
breakfast and tea. In addition, they were a place to relax and had a social and
economic function. Tea shops were places providing food and drink, not only serve
biological needs, but also provide information to be shared and connections made, in
support of people economic and social lives. In this technology age, internet cafés
emerged as tea shops in the past. Recently, some of the tea shops serve traditionally
tea and baked. However, some serve coffee, cold drinks and fresh baked.
At present, most of the confectionery firms enable the new product
development and then not only their new production method but also new marketing
and management style are practiced. As mentioned in theories, some businesses
accept and implement the concept of innovation. Some business, however, do not
have enough fund to implement their ideas. So they just follow the market demand.
They cannot innovate as much as their desires. These firms can survive because of
their royal customer but they cannot develop among their competitors. Therefore, the
argument emerged that the factors beyond capital will influence the business
innovation.
The characteristic of modern economy is increased competition. As the role of
innovation and innovative activity in development of enterprise is growing, the
broader study of the impact of factors on innovation and innovative activity is
required more. Although Table (3.1) indicates the number of registered confectionary
firms in seven townships of Mandalay Municipal Area based on the classification of
number of employees, this study classified the firms by their product types.
70
The businesses were distinguished by types of product such as traditional
confectionary firms and bakery firms. Traditional firms produced Htoe Mont, La
Mont and Nanwin Makin as the basic product items. And the other products were
created based on the owner’s idea, the customer demand and the product of
competitors. Bakery firms developed new products and tested them in the market
when the sales of some products are slow. Some of the tea shops have the special
items e.g. Chinese dumpling for Manmyodaw and Bean Cake for Minn Thiha. These
firms are trying to produce other items to fulfill their customers’ needs. Therefore
these teashops are considered as bakery businesses due to their bakery services.
71
Table (3.2) Number of Registered Confectionary Firms by Townships in Mandalay Municipal Area
Size
Township
2014-2015 2015-2016 2016-2017
Large Medium Small Total Large Medium Small Total Large Medium Small Total
Aung Myay Thar Zan 10 14 4 28 10 13 4 27 11 11 4 26
Amarapura 2 2 3 7 2 2 2 6 3 2 2 7
Chan Aye Thar Zan 4 9 9 22 4 8 9 21 5 7 6 18
Chan Mya Tharzi 3 5 4 12 3 5 4 12 5 6 2 13
Maha Aung Myay 2 9 4 15 2 8 4 14 2 8 3 13
Patheingyi - 2 1 3 - 3 1 4 1 3 1 5
Pyay Gyi Dagon 22 8 1 31 21 9 1 31 25 9 - 34
Total 118 115 116 Source: Ministry of Industry, Directorate of Industrial Supervision and Inspection, 2017
72
Table (3.2) describes the number of registered confectionary firms by
townships in Mandalay municipal area during the year 2014 to 2017. In 2015-2016,
the total number of confectionary firms was decreased from 118 to 115 because some
of the registered firms were expired and they did not re- registered regularly. For this
study, the number of registered confectionary firms (2016-2017) was considered as
population in order to update.
3.2 Sampling
According to the list of Industry Supervision and Inspection Department,
2016, there are 116 confectionary firms in Mandalay confectionery industry. In order
to get more accuracy, 70 % of population firms were collected as sample. The larger
the sample size, the more sure the result reflect the population.
The selected 89 firms were surveyed by simple random sampling. Before
using the questionnaires, the innovative firms were selected by asking the firms
whether new product, process and marketing were introduced or not. Only innovative
firms were analyzed to explore the major drivers of innovation. The study emphasized
all size of confectionary firms so that the result may be reasonable to conclude the
effect of firm size on innovation.
Table (3.3) Distribution of Confectionary Businesses by Type
Description No. of Business
Percent
Traditional 10 11.24
Bakery 79 88.76
Total 89 100Source: Survey Data (2017)
According to Table (3.3), the bakery businesses are distributed with 88.76 %
and the traditional confectionery businesses are 11.24%. Data was collected over a 6
month period in two types, namely traditional firms 11.24% and bakery firms 88.76%
within the total sample. Then, the questionnaire was applied through face-to-face
interviews. A questionnaire consisting of 108 individual questions was developed to
be filled in by the owners or managers of the firms.
73
Table (3.4) Number of Firms in Different Types of Product by Township
Types of firm
TownshipTraditional Bakery Total
Aung Myay Thar Zan 2 15 17
Amarapura - 8 8
Chan Aye Thar Zan 5 11 16
Chan Mya Tharzi 1 10 11
Maha Aung Myay 1 12 13
Patheingyi - 3 3
Pyi Gyi Dagon 1 20 21
Total 10 79 89Source: Survey data, 2017
Table (3.4) shows the number of firms distributed in different types of product
by township. It is found that the number of bakery businesses is the largest in Pyi Gyi
Dagon Township as Mandalay industrial zone is located in this township. As for the
traditional businesses, Chan Aye Thar Zan Township has the largest number of firms
since Zaycho market is situated in this township.
3.3 Profile of the Respondents and Businesses
The general information includes gender, age, education and position of the
respondents. Of 62 respondents, 69.66 percent was male and 30.34 percent was
female. According to Myanmar culture, most of the businesses were lead by man in
the past. However, today the women have the equal opportunity to manage the
business. In terms of age, the age under 31 years represented 4.49 percent, 31-50
years was 62.92 percent of all respondents, 51-70 years was 30.34 percent and the rest
percentage, 2.25, was 71years and above. The majority of the respondent’s (more than
62 percent) were the age between 31 and 50 years. Regarding education levels, 65
respondents (73.03 percent) were graduated, 22 respondents (24.72 percent) held a
high school level qualification and the rest was post graduated level. Among them,
74
62.92 percent of respondents were the owners of businesses and the rest were the
managers of businesses.
Table (3.5) Profile of the Respondents
Factors Category Respondents Percent
GenderMale
Female
62
27
69.66
30.34
Total 89 100.00
Age
Under 31
31-50
51-70
71 and above
4
56
27
2
4.49
62.92
30.34
2.25
Total 89 100.00
Education
High School
Graduated
Master
22
65
2
24.72
73.03
2.25
Total 89 100.00
PositionOwner
Manager
56
33
62.92
37.08
Total 89 100.00Source: Survey Data (2017)
The general information of the respondents (owners or managers) was
collected and recorded in Table (3.5).
In the profile of business, number of labor is categorized by the definition of
SMEs by the Private Industrial Enterprise Law 1990 (Ministry of Industry (2), 2010).
According to Table (3.6), 47 firms from the selected businesses (52.81 percent)
operated with 1-49 employees and the firms about 17.98 percent worked with the
number of employees above 100.
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Table (3.6) Profile of Businesses
Descriptions Category Respondents
Percent
Number of employees
1-49
50-100
Above100
47
26
16
52.81
29.21
17.98
Total 89 100
Firm Age
3-12 year
13-22 year
23 -32year
33-42 year
43-52 year
53and above
25
36
8
6
6
8
28.09
40.45
8.99
6.74
6.74
8.99
Total 89 100
Ownership Status
Sole-proprietorship
Partnership
Company
88
0
1
98.88
0
1.12
Total 89 100
Start upScratch
Inherited
64
25
71.91
28.09
Total 89 100
MAFPEA memberYes
No
48
41
53.93
46.07
Total 89 100Source: Survey Data (2017)
In terms of the firm age, most of the firms (40.45 percent) were established
from 13 to 22 years ago. As the majority of firms, the ownership status was the sole
proprietorship (98.88 percent). About 71.91 percent of the firms are the scratch. It can
be said that some of the businesses are inherited but most tried to establish a new
business by learning, imitating and creating from the previous business. 53.93 percent
of the firms were MAFPEA (Myanmar Agro-based Food Processor and Exporter
Association was formed in 2006 to support the food processing industry) member.
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3.4 Data Collection
The items to measure the selected variables were based on previous studies that
were considered to be important in explaining the direct and indirect effects of driving
factors on innovations. Pilot testing is important to check the content validity of the
instrument, and to improve the questions, format, and the scales. Therefore, the pilot
test was carried out with the convenience sample of 44 confectionary firms to validate
the instrument.
Firstly, factor analysis is used merely for reliability and validity test of
variables and multiple regression analysis is used to discover important innovation
determinants and to understand how innovations are produced at the firm level and
revealing the main factors that shape an innovative atmosphere in confectionary firms.
The reliability intended to measure the extent to which a variable or set of variables is
consistent. Cronbach’s alpha is measure of reliability that ranges from 0 to 1, with
values of .60 to .70 deemed the lower limit of acceptable. Therefore reliability refers
to test consistency. Validity is concerned with how well the concept is defined by the
measures. KMO and Bartlett test of sphericity tested for the overall significance of all
correlations within a correlation matrix. The measure can be interpreted with .80 or
above, meritorious; .70 or above, middling; .60 or above, mediocre; .50 or above,
miserable; and below .50, unacceptable (Hair, Anderson, Tatham and Black 1995).
After that, descriptive analysis is used to investigate the types of innovation
undertaken by confectionery businesses. According to Best (1977), the mean values
of five-point Likert scale items were interpreted as follows:
The score among 1.00 – 1.80 means strongly disagree.
The score among 1.81 – 2.60 means disagree.
The score among 2.61 – 3.40 means neither agree nor disagree.
The score among 3.41 – 4.20 means agree.
The score among 4.21 – 5.00 means strongly agree.
Finally, multiple regression method is used to analyze the relationship
between drivers of innovation, the types of innovation and the business performance.
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3.5 Assumption for Multiple Regression Analysis of the Study
The assumptions underlying multiple regressions analysis to be examined re as
follows:
1. Linearity of the phenomenon measured. The linearity of the relationship
between dependent and independent variables represents the degree to which
the change in the dependent variable is associated with the independent
variable. The concept of correlation is based on a linear relationship. As
multiple regression analysis is based on the concept of correlation, the
linearity of the relationship between dependent and independent variables is
crucial. Linearity is easily examined through residual plots.
2. Homoscedasticity is the assumption of equal variances between pairs of
variables. By using SPSS software, it can be measured Homogeneity test
which measures the equality of variances for a single pair of variables.
3. Independence of the error terms assumed that the predicted value is not related
to any other prediction that is each predicted value is independent. If the
residuals are independent, the pattern should appear random. Serial correlation
can be measured by Durbin-Watson value.
4. Normality of the error distribution assumed that errors of prediction are
normally distributed. By using normal histogram can be diagnosed the set of
independent variables (Hair, Anderson, Tatham and Black 1995).
78
CHAPTER 4
ANALYSIS ON INNOVATION OF CONFECTIONERY
BUSINESSES
This chapter presents the analysis of the innovation of confectionery
businesses in Mandalay based on the results of data collected from 89 owners or
managers. The statistical analyses used in this study include description of the survey
participants, demographic characteristics, reliability and validity test. Moreover,
regression analyses are performed to find out which factors are the most influencing
factors on innovation and performance of confectionery businesses.
4.1 Testing of Reliability and Validity of the Driving Variables
Descriptive statistics is used in this study not only to express the demographic
factors (age, gender, educational levels, etc.) but also to describe the mean values and
standard deviation of the observed variables. According to the mean values of the
items, the respondents generally agree the drivers of innovation (mean values more
than 3: agree). In this study, three variables for general firm characteristics, three
variables for firm structure, two variables for firm strategy and three variables for
external factors have been measured. Each variable includes different number of items
and is measured on five-point Likert scale.
The first stage of testing of reliability started with Cronbach’s alpha value. It is
one of the major methods of determining the reliability of a test. Therefore
Cronbach’s alpha is used to test the reliability of all variables.
The Bartlett's Test can be used to test the adequacy of the correlation matrix. If
the test value is large and the significance level is small (<0.001), the variables are
independent. The KMO represents the ratio of the squared correlation between
79
variables to the squared partial correlation between variables. When the KMO is near
0, it is difficult to extract a factor, since the amount of variance just two variables
share (partial correlation) is relatively large in comparison with the amount of
variance two variables share with other variables. When the KMO is near 1, a factor
or factors can probably be extracted, since the opposite pattern is visible. Therefore,
KMO “values between 0.5 and 0.7 are mediocre, values between 0.7 and 0.8 are good,
values between 0.8 and 0.9 are great and values above 0.9 are superb.
Table (4.1) Descriptive Statistics and Reliability of the Driving Variables
Sr. No. Factors Items Mean Standard
DeviationCronbach's
Alpha
1 Intellectual Capital 10 3.77 .666 .895
2 Organization Structure 7 4.11 .581 .877
3 Organization Culture 9 4.06 .628 .927
4 Market Strategy 6 4.28 .517 .868
5 Manufacturing Strategy 9 3.69 .663 .913
6 Customer Needs and Wants 6 4.07 .410 .897
7 Intensity of Competition 5 3.87 .542 .863
8 Technological Opportunity 3 3.84 .634 .732
Source: SPSS Outputs
Table (4.1) shows mean value, standard deviation and Cronbach’s alpha value
to test the reliability of independent variables. Cronbach’s alpha values of all
independent variables are greater than 0.70 therefore it can be acceptable.
80
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4.1.1 Intellectual Capital
For the analysis of intellectual capital, 11 variables were used in the
questionnaire.
Table (4.2) Validity Test for Intellectual Capital
Factors
Develop new ideas and knowledge of employees.
Enough skill of employees to develop new product.
Recruit and retain the competent people needed for new product development.
Seeking new ways to do things by management.
Creative thinking and behavior of management by themselves.
Skeptical of new ideas by management.
Searching new things by management.
Behavior influences by management to others in trying new things.
Knowledge sharing and learning of employees from different department.
Knowledge sharing and learning of employees from same department.
Bartlett's Test 746.258
Cronbach's Alpha 0.895
K-M-O .769Source: SPSS Outputs
Table (4.2) displays the results of validity test for the items of intellectual
capital. Bartlett’s test is conducted to assess the overall significance of the correlation
matrix. As a result, the chi-square score is 746.258 with p<0.001. Therefore it can be
concluded that the variables are uncorrelated in the population. The Cronbach’s α
value for the underlying factors is 0.895, since Cronbach’s α value is greater than
0.70, it can be concluded that all the items are reliable. Next, the KMO score is 0.769,
which is greater than 0.7. It can be said that sampling adequacy for each variable is
enough.
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4.1.2 Organization Structure
For the analysis of organization structure, 9 items were used in the
questionnaire.
Table (4.3) Validity Test for Organization Structure
Factors
Communication channels between upper levels of management and the employees open
Informing corporate plans to employees.
Communication channels among the employees at the same level of hierarchy open.
Seeking assistance in documents such as organization handbook, procedures and manuals for decision making.
Employees Insights on company as a completely institutionalized entity.
Monitoring employees constantly whether they violate the corporate rules and procedures.
Need approval from upper level managers for routine decision making and daily tasks.
Bartlett's Test 603.977
Cronbach's Alpha 0.877
K-M-O .731Source: SPSS Outputs
Table (4.3) displays the results of validity test for the items of organization
structure. Bartlett’s test is conducted to assess the overall significance of the
correlation matrix. As a result, the chi-square score is 603.977 with p<0.001.
Therefore it can be concluded that the variables are uncorrelated in the population.
The Cronbach’s α value for the underlying factors is 0.877, since Cronbach’s α value is
greater than 0.70. It can be concluded that all the items are reliable. Next, the KMO
score is 0.731, which is greater than 0.7. It can be concluded that sampling adequacy
for each variable is enough.
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4.1.3 Organization Culture
For the analysis of organization culture, 9 items were used in the
questionnaire.
Table (4.4) Validity Test for Organization Culture
Factors
Encourage for coordination with different department in developing one’s own ideas.
Encourage to develop one’s own ideas for the improvement of the corporation.
Encourage employees from different department to come together to develop new project ideas.
Upper management’ awareness and very receptive to new ideas and suggestions.
Rewards depend on their work on the job.
Reward for innovative and successful projects.
Reward Employees from every level for innovation.
Appreciate Employees for their well performance.
Increase employee’s job responsibilities after well performance.
Bartlett's Test 904.132
Cronbach’s α value 0.927
K-M-O .617Source: SPSS Outputs
Table (4.4) displays the results of validity test for the items of organization
culture. Bartlett’s test is conducted to assess the overall significance of the correlation
matrix. As a result, the chi-square score is 904.132 with p < 0.001. Therefore it can be
concluded that the variables are uncorrelated in the population. The Cronbach’s α
value for the underlying factors is 0.927. Since Cronbach’s α value is greater than 0.70,
it can be said that all the items are reliable. Next, the KMO score is 0.617, which is
greater than 0.7. It can be concluded that sampling adequacy for each variable is
reliable.
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4.1.4 Market Strategy
For the analysis of market strategy, 6 items were used in the questionnaire.
Table (4.5) Validity Test for Market Strategy
Factors
Receives customer response for NPD.
Member/s of new product development team regularly travels to new locations in search of new product ideas.
Enables to meet market needs.
Gives priority to customer needs.
Business objectives driven by customer satisfaction.
Business strategy based on understanding of customer needs.
Bartlett's Test 263.718
Cronbach’s α 0.868
K-M-O .764Source: SPSS Outputs
Table (4.5) displays the results of validity test for the items of market strategy.
Bartlett’s test is conducted to assess the overall significance of the correlation matrix.
As a result, the chi-square score is 263.718 with p < 0.001. Therefore it can be
concluded that the variables are uncorrelated in the population. The Cronbach’s α
value for the underlying factors is 0.868. Since Cronbach’s α value is greater than 0.70,
it can be said that all the items are reliable. Next, the KMO score is 0.764, which is
greater than 0.7. It can be concluded that sampling adequacy for each variable is
enough.
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4.1.5 Manufacturing Strategy
For the analysis of manufacturing strategy, 10 items were used in the
questionnaire.
Table (4.6) Validity Test for Manufacturing Strategy
Factors
Decrease in operating waste.
Increase in delivery speed of products.
Decrease in waste and scrap.
Decrease the make span from taking the orders to the end of delivery.
Decrease the make span from taking the orders to the end of delivery.
Decrease the make span from start of manufacturing process to the end of delivery.
Increase in ability of flexible use of current personnel.
Decrease in total cost of manufacturing processes.
Decrease in input costs.
Cronbach’s α 0.913
Bartlett's Test 695.328
K-M-O .780Source: SPSS Outputs
Table (4.6) displays the results of validity test for the items of manufacturing
strategy. Bartlett’s test is conducted to assess the overall significance of the
correlation matrix. As a result, the chi-square score is 695.328 with p < 0.001.
Therefore it can be concluded that the variables are uncorrelated in the population.
The Cronbach’s α value for the underlying factors is 0.913. Since Cronbach’s α value
is greater than 0.70, it can be concluded that all the items are reliable. Next, the KMO
score is 0.780, which is greater than 0.7. It can be said that sampling adequacy for
each variable is reliable.
4.1.6 Customer Needs and Wants
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For the analysis of customer needs and wants, 6 items were used in the
questionnaire.
Table (4.7) Validity Test for Customer Needs and Wants
Factors
Inquires the information/feedback from customers.
Increase in product and service quality according to customers’ expectation.
Provide the customer needs.
Decrease in customer complaints.
Accepts the first priority to meet the customer needs and expectation.
Importance the situation of target market for the business.
Bartlett's Test 350.042
Cronbach’s α 0.897
K-M-O .858Source: SPSS Outputs
Table (4.7) displays the results of validity test for the items of customer needs
and wants. Bartlett’s test is conducted to assess the overall significance of the
correlation matrix. As a result, the chi-square score is 350.042 with p < 0.001.
Therefore it can be concluded that the variables are uncorrelated in the population.
The Cronbach’s α value for the underlying factors is 0.897. Since Cronbach’s α value
is greater than 0.70, it can be said that all the items are reliable. Next, the KMO score is
0.858, which is greater than 0.7. It can be concluded that sampling adequacy for each
variable is enough.
4.1.7 Intensity of Competition
87
For the analysis of competitive intensity, 5 items were used in the
questionnaire.
Table (4.8) Validity Test for Intensity of Competition
Factors
Inquires the information from competitors.
Cooperates with others in the same industry.
Increase in product and service quality compared to rivals.
Creates/imitates the product as the competitors.
Accepts that the industry is competitive.
Bartlett's Test 410.584
Cronbach’s α 0.863
K-M-O .742Source: SPSS Outputs
Table (4.8) displays the results of validity test for the items of competitive
intensity. Bartlett’s test is conducted to assess the overall significance of the
correlation matrix. As a result, the chi-square score is 410.584 with p < 0.001.
Therefore it can be concluded that the variables are uncorrelated in the population.
The Cronbach’s α value for the underlying factors is 0.863. Since Cronbach’s α value
is greater than 0.70, it can be concluded that all the items are reliable. Next, the KMO
score is 0.742, which is greater than 0.7. It can be said that sampling adequacy for
each variable is reliable.
4.1.8 Technological Opportunity
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For the analysis of technological opportunity, 3 items were used in the
questionnaire.
Table (4.9) Validity Test for Technological Opportunity
Factors
Technology improving product quality.
Sufficient technical knowledge.
Sufficient technical experience.
Bartlett's Test 118.507
Cronbach’s α 0.732
K-M-O .511Source: SPSS Outputs
Table (4.9) displays the results of validity test for the items of technological
opportunity. Bartlett’s test is conducted to assess the overall significance of the
correlation matrix. As a result, the chi-square score is 118.507 with p < 0.001.
Therefore it can be concluded that the variables are uncorrelated in the population.
The Cronbach’s α value for the underlying factors is 0.732. Since Cronbach’s α value
is greater than 0.70, it can be said that all the items are reliable. Next, the KMO score is
0.511, which is greater than 0.7. It can be said that sampling adequacy for each
variable is enough.
4.2 Analysis on Types of Innovation
Descriptive analysis is used to investigate the types of innovation; product
innovation, process innovation and marketing innovation, undertaken by
confectionery businesses. It was assumed that the confectionery businesses agreed
with conducting the three types of innovation with the score of mean values above
3.41 according to Best, 1977.
The results of descriptive statistics of innovative activities are shown in the
following table.
Table (4.10) Mean Values of Product Innovation
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Description MeanStandard Deviation
Develop new products with totally differing from the current ones. 4.01 .790
Develop newness for current products to improve ease of use for customers and to improved customer satisfaction. 4.11 .818
Develop new products with ingredients differing from the current ones. 3.51 1.198
Increased manufacturing cost in ingredients of new products. 4.04 .656
Increased quality in ingredients of current products. 4.24 .477
Product Innovation (overall mean) 4.12Source: SPSS Outputs
According to Table (4.10), the overall mean value of product innovation
factors was 4.12, which indicate that the confectionary firms improved the existing
products and also developed the new ones. It can be found that the confectionery
businesses performed product innovation by developing new products with different
materials and components considering the customers’ health consciousness. The
businesses developed newness for current products leading to improve ease of use for
customers according to the changing lifestyles.
Table (4.11) Mean Values of Process Innovation
Description MeanStandard
Deviation
Used new and more effective techniques and machines in
NPD processes. 3.84 .796
Decreased cost in NPD processes. 2.90 1.001
Decreased variable cost and/or increasing productivity in
production processes.3.84 .520
Increased output quality in NPD processes. 3.99 .488
Process Innovation (overall mean) 3.92Source: SPSS Outputs
90
According to Table (4.11), the overall mean value of process innovation
factors was 3.92, which indicate that the confectionary firms changed existing
manufacturing processes, techniques and machinery to improve productivity and
output quality to meet the market needs. In addition, the businesses considered the
product quality and the healthy life of customers. The making by manpower and even
the using of coal boiler can impact on product quality such as leaving ashtray and the
cleanness of working environment. As the process innovation, the confectionery
businesses changed the uses of manpower and machineries from kneading to backing
and packaging. In this way, the businesses cannot reduce cost in NPD process because
of emphasizing to improve product quality.
In the previous confectionary businesses, a small bakery business produced
products with the usage of average 270 visses raw material per day by using together
manpower and machineries from kneading to baking process. Kneading, rolling,
moulding, sending to the bakeries with the use of chains, adjusting the chains
movement to be slow or fast by checking the trays coming out from the bakeries,
arranging the finished trays are continuous processes to be in harmony with by the
utility of manpower and machineries. It takes a long time to produce quality product.
Currently, when coal boilers are replaced and machineries are used more from
kneading to baking process, more than average 400 visses raw material per day are
used for these processes. Some confectionary businesses use electronic machines over
1000 visses of wheat per day that are used for production processes.
Table (4.12) Mean Values of Marketing Innovation
Description Mean Standard Deviation
Renewed the product promotion techniques employed for the promotion of the current and/or new products. 3.22 .951
Renewed the distribution channels in the delivery of the product. 3.67 .863
Renewed the product pricing techniques employed for the pricing of the current and/or new products. 3.21 1.017
Renewed the design of the current and/or new products through changes such as in appearance, packaging, shape and volume.
3.90 1.023
Marketing Innovation(overall mean) 3.57Source: SPSS Outputs
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According to Table (4.12), the overall mean value of marketing innovation
factors was 3.57, which indicates that the confectionary firms renewed the design of
the current and/or new products through changes such as in appearance, packaging,
shape and so on. The mean value of these variables showed that the firms emphasized
the innovation activities as the firms’ essential factors to get competition edges and
survive among the rivals. In the previous period, confectionery can be bought in the
main confectionary shops, various food shops in Mandalay Zay Cho. As the
marketing innovation, the confectionery businesses used motorbike carriers and own
distribution vehicles to fulfill customer needs in right time. It can be known by the
mean values of marketing innovation variables.
Table (4.13) Influential Types of Innovation and Types of Business
(Measured by Mean Value)
Types of Innovation
Types of
Business
Product Process Marketing
Mixing Two TypesMixing Three Types
Product &
Process
Product & Marketing
Process & Marketing
Product, Process & Marketing
Innovative Firms
Traditional
Bakery
9
74
9
68
8
59
8
63
8
58
8
53
7
53
83 77 67 71 66 61 60
Non-Innovative Firms 6 12 22 18 23 28 29
Total 89 89 89 89 89 89 89Source: Survey Data (2017)
Table (4.13) shows the innovation types performing by the traditional
confectionery and bakery firms. By examining the Table, it can be found that the
number of confectionery business doing product innovation is the largest with 83
which contain 9 traditional confectionery and 74 bakery business. And, in studying
the mixing two types of innovation, the number of firm performing both product and
process innovation is also more than the other mixing three types of innovation. From
the Table, it can be concluded that the confectionery businesses firstly innovated the
products to meet the demand of customers and the intensity of competition. And then
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technology advanced and using new machineries was followed by product innovation.
Finally, the businesses implemented marketing innovation with increased productivity
by process innovation to fulfill the customers’ needs in time.
4.3 Analysis on Innovation Drivers of Each Type of Innovation
In this study, there are four main drivers (eleven dimensions) on the
innovation; namely firm characteristics, firm structure, firm strategy and external
factors. After finding out the underlying dimensions of determinants of innovations by
using confirmatory factor analysis, an analysis on innovative activities is carried out.
Finally the results of multiple regression analysis are described in detail.
4.3.1 Drivers of Product Innovation
In analyzing the drivers of product innovation, firm size, firm age and
ownership status as general firm characteristics; intellectual capital, organization
structure, organization culture as firm structure; marketing strategy and manufacturing
strategy as firm strategy; customer needs and wants, intensity of competition and
technological opportunity as external factors are taken in consideration.
Multiple regression analysis is applied to investigate the factors of product
innovation. To develop the multiple regression method, the product innovation is used
as dependent variable and firm size, firm age, ownership status, intellectual capital,
organization structure, organization culture, marketing strategy, manufacturing
strategy, customer needs and wants, intensity of competition and technological
opportunity are used as independent variables.
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Table (4.14) Drivers of Product Innovation
Dependent variable
(Product Innovation)
Unstandardized Coefficients
t test Sig VIFB
Std.
Error
(Constant) -.405 .625 -.648 .519
Firm size .000 .000 .486 .629 1.284
Firm age .002 .002 .984 .328 1.147
Ownership Status -.002 .143 -.016 .987 1.089
Intellectual Capital .195** .088 2.211 .030 2.066
Organization Structure .007 .149 .044 .965 4.480
Organization Culture .002 .101 .016 .987 2.428
Market Strategy .420*** .113 3.715 .000 2.046
Manufacturing Strategy -.247** .091 -2.720 .008 2.179
Customer needs and wants .109 .146 .743 .460 2.159
Intensity of competition .484*** .101 4.811 .000 1.785
Technological opportunity .129 .081 1.584 .117 1.591
Adjusted R Square 0.557
F-value 11.053***
Durbin-Watson 2.207 Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
As shown in Table (4.14), the coefficient of determination (R2) is more than
55%. It can be said that 55% of the variation in product innovation is explained by the
drivers of innovation. The value of F test is highly significant at 1% level. The value
of Durbin-Watson d is 2.207. Since d is around 2, there is no serial correlation. The
VIF is used to assess the inflation in parameter estimates that are due to the
collinearities among the variables (multicollinerity). The level of multicollinearity
with VIF excess 10 was problematic. In this study, each VIF is less than 10. These
results show that muticollinearity problems are not included in this case. Moreover
according to the result of normality test, the histogram looks like a normal distribution
94
(a bell-shaped curve). For the checking of homoscedsticity, it can be seen from
Appendix Table B-12, there is no definite pattern in the residuals.
As expected, the coefficient of intellectual capital has been found to have a
positively significant at 5% level. This result has proved that intellectual capital is
important drivers of product innovation. The coefficient of market strategy has also
been found to have a positive and highly significant at 1% level. This result has
proved that market strategy is important drivers of product innovation. The coefficient
of manufacturing strategy has also been found to have a negatively significant at 5%
level. This result has proved that manufacturing strategy is important but there is
indirect relationship between manufacturing strategy and product innovation.
Moreover, the coefficient of competition intensity has been found to have a positive
and highly significant at 1% level. This result has proved that competition intensity is
important drivers of product innovation.
In this study, customer needs and wants, intensity of competition and
technological opportunity are considered as external factor. The rapid environmental
change and the uncertainty stimulate the decision-makers to innovate in organizations
(Zaltman, Duncn and Holbeck, 1973; Slappendel, 1996). Product innovations are
prevalent in uncertain environments in which competing products or customers’
preferences alter significantly.
The result cannot support Hypothesis 1(a) that “Firm characteristics have a
positive and significant effect on product innovation”. However, the result can
support Hypothesis 1(b) that “Firm structure has a positive and significant effect
on product innovation”. The desire and innovative personality of management and
skilled labor encourage the product innovation. Beyond human capital, an important
part of knowledge, abilities, experiences, and behaviors required for the successful
development of new products and services lies inside and embedded thorough the
organization. Furthermore, in order to get involved workers in the innovation process,
the firm should develop support organizational mechanisms, infrastructure,
governance, and so on (O’Connor and McDermott, 2004). Tseng and Goo (2005)
argued that a good structural capital will translate the human dimension of innovation
into company property, through appropriate managerial leadership and ability.
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The result can support Hypothesis 1(c) that “Firm strategy has a positive
and significant effect on product innovation”. Orienting customer needs and
satisfaction drives the product innovation. Bennett and Cooper (1981) suggested that
the adoption of the marketing concept philosophy stifles the development and
marketing of radically new products, and rather encourages the development of
incremental product innovations. This is due to customers being unable to articulate
their future needs beyond current consumption experiences.
The result can support Hypothesis 1(d) that “External factors have a
positive and significant effect on product innovation”. If the firms have customer
orientation, technological improvement and enough funds to get competitive edge,
firms would have more product innovation as much as they can. Unfortunately, it is
found that the cost of manufacturing for product innovation cannot be reduced.
Although the owners and managers have innovative personality, they do not
implement their ideas strategically. Subramanian (1996), as cited in Chryssochoidis
(2003) found that firm innovativeness is not statistically higher in unstable external
environments, but firms in such environments adopt innovations earlier than firms in
more stable ones. In a cross-sectional analysis of Fortune 500 firms discovered that a
significant inverted-U shape, with higher competition initially increasing then
decreasing the rate of innovation (Scherer, 1967, as cited in Aghion, Bloom, Blundell, Griffith and Howitt, 2005).
4.3.2 Drivers of Process Innovation
Process innovation included four dimensions. Mean process innovation is
effected by firm size, firm age, ownership status, intellectual capital, organization
structure, organization culture, marketing strategy, manufacturing strategy, customer
needs and wants, intensity of competition and technological opportunity.
Multiple regression analysis is applied to investigate the factors of process
innovation. To develop the multiple regression method, the process innovation is used
as dependent variable and firm size, firm age, ownership status, intellectual capital,
organization structure, organization culture, marketing strategy, manufacturing
strategy and external factor are used as independent variables. Regression analysis is
conducted with process innovation and eleven dimensions of drivers of innovation as
the independent variables.
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Table (4.15) Drivers of Process Innovation
Dependent variable
(Process Innovation)
Unstandardized Coefficients
t test Sig VIFB Std.
Error
(Constant) 1.940 .807 2.404 .019 -
Firm size .000 .001 .342 .733 1.284
Firm age -.001 .003 -.263 .793 1.147
Ownership Status .091 .184 .494 .622 1.089
Intellectual Capital .349*** .114 3.072 .003 2.066
Organization Structure .240* .143 1.681 .097 1.794
Organization Culture -.234* .131 -1.793 .077 2.428
Market Strategy -.038 .146 -.258 .797 2.046
Manufacturing Strategy -.044 .117 -.377 .708 2.179
Customer needs and wants -.042 .189 -.224 .824 2.159
Intensity of competition .255* .130 1.964 .053 1.785
Technological opportunity .357*** .105 3.406 .001 1.591
Adjusted R Square 0.217
F-value 3.215***
Durbin-Watson 2.321
Source: SPSS Outputs
*, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
As shown in Table (4.15), the coefficient of determinations (R2) is above 21%.
It can be concluded that 21% of the variation in process innovation is explained by the
drivers of innovation. The value of F test is highly significant at 1% level. The value
of Durbin-Watson d is 2.321. Since d is around 2, there is no serial correlation. The
level of multicollinearity with VIF excess 10 is problematic and each VIF is less than
10 in this study. These results show that muticollinearity problems are not included in
this case. Moreover, according to the result of the normality test the histogram looks
like a normal distribution (a bell-shaped curve). For the checking of homoscedsticity,
it can be seen from Appendix Table B-13, there is no systematic part in the residuals.
As expected, the coefficient of intellectual capital has been found to have a
positive and highly significant at 1% level. This result has proved that intellectual
capital is important drivers of process innovation. However, the coefficient of
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organization culture has been found to have a negative and significant at 10% level.
This result has proved that organization culture is important drivers of process
innovation but there is indirect relationship between organization culture and process
innovation. The coefficient of intensity of competition has been found to have a
positive and significant at 5% level. This result has proved that intensity of
competition is positively important drivers of process innovation. In addition, the
coefficient of technological opportunity has been found to have a positive and highly
significant at 1% level. This shows that there is important and direct relationship
between technological opportunity and process innovation.
The result cannot support Hypothesis 2(a) that “Firm characteristics have a
positive and significant effect on process innovation”. However, the result can
support Hypothesis 2(b) that “Firm structure has a positive and significant effect
on process innovation”. According to the result, the firms implemented the new
production process by the innovative personality of management with skillful labor.
The investment decision for production process improvement is made by the owner of
businesses. The labours need to be expertise with new machineries in the process
innovation. The businesses encourage developing new product ideas and receiving the
feedback of employees. By appreciating the employees for their new ideas and well
performance, the organization culture drives the process innovation.
The result cannot support Hypothesis 2(c) that “Firm strategy has a positive
and significant effect on process innovation”. The result can support Hypothesis
2(d) that “External factors have a positive and significant effect on process
innovation”. As the confectionery businesses increment their current product and
create new product to survive in competitive edge, the business owners enable the
process innovation with product innovation by inquiring the information of
competitors. The opportunity to improve technology is also important for process
innovation.
4.3.3 Drivers of Marketing Innovation
Marketing innovation included four dimensions. Mean marketing innovation
is effected by firm size, firm age, ownership status, intellectual capital, organization
structure, organization culture, marketing strategy, manufacturing strategy, customer
needs and wants, intensity of competition and technological opportunity.
98
Multiple regression analysis was applied to investigate the factors of
marketing innovation. To develop the multiple regression method, the marketing
innovation was used as dependent variable and firm size, firm age, ownership status,
intellectual capital, organization structure, organization culture, marketing strategy,
manufacturing strategy, customer needs and wants, intensity of competition and
technological opportunity are used as independent variables. Regression analysis is
conducted with marketing innovation and eleven dimensions of drivers of innovation
as the independent variables.
Table (4.16) Drivers of Marketing Innovation
Dependent variable (Marketing Innovation)
Unstandardized Coefficients t test Sig VIFB Std. Error
(Constant) .387 1.111 .348 .728Firm size -6.848E-5 .001 -.084 .933 1.284Firm age .003 .004 .711 .479 1.147Ownership Status -.226 .254 -.890 .376 1.089Intellectual Capital .517*** .157 3.303 .001 2.066Organization Structure -.032 .264 -.119 .905 4.480 Organization Culture -.190 .180 -1.056 .294 2.428
Manufacturing Strategy -.119 .201 -.594 .554 2.046
Market Strategy -.002 .162 -.012 .990 2.179
Customer needs and wants .648** .260 2.491 .015 2.159
Intensity of competition -.045 .179 -.252 .802 1.785Technological opportunity .094 .144 .652 .516 1.591Adjusted R Square 0.220F-value 3.251***
Durbin-Watson 2.206 Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
As shown in Table (4.16), the coefficient of determinations (R2) is 22%. It can
be said that 22% of the variation in marketing innovation is explained by the drivers
of innovation. The value of F test is highly significant at 1% level. The value of
Durbin-Watson d is 2.026. Since d is around 2, there is no serial correlation. Each VIF
is less than 10. These results show that muticollinearity problems are not included in
99
this case. According to the result of normality test, the histogram looks like a normal
distribution (a bell-shaped curve). For the checking of homoscedsticity, it can be seen
from Appendix Table B-14, there is no definite pattern in the residuals.
As expected, the coefficient of intellectual capital has been found to have a
positive and highly significant at 1% level. This result has proved that intellectual
capital is important drivers of marketing innovation. The coefficient of customer
needs and wants also has been found to have a positive and significant at 5% level.
This result has proved that customer needs and wants are important drivers of
marketing innovation.
The result cannot support Hypothesis 3(a) that “Firm characteristics have a
positive and significant effect on marketing innovation”. However, the result can
support Hypothesis 3(b) that “Firm structure has a positive and significant effect
on marketing innovation”. In changing product promotion techniques, distribution
channels and product appearance, packaging, shape and volume necessary in order to
adapt with the market needs, the innovative personality of management level and
involvement of skill workers are important drivers. The result cannot support
Hypothesis 3(c) that “Firm strategy has a positive and significant effect on the
marketing innovation”. The result can support Hypothesis 3(d) that “External
factors have a positive and significant effect on marketing innovation”. The
confectionery businesses relied on customer needs and wants in implementing
marketing innovation.
4.4 Analysis on the Influence of Innovation on Firm Performance
The relationship between overall innovation and overall performance
measured is shown in Table (4.17) in an extracted form. The original result is shown
in Appendix Table B-4.
Table (4.17) Influencing Innovation Types on Firm Performance Dependent variable
(Performance) Unstandardized Coefficient
t test Sig
100
VIFB Std. Error
(Constant) 2.248 .374 6.011 .000
Product Innovation .317*** .084 3.797 .000 1.204
Process Innovation .033 .104 .313 .755 1.769
Market Innovation .117 .071 1.650 .103 1.547
Adjusted R Square .221
F-value 9.330***
Durbin-Watson 1.711Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
According to Table (4.17), the coefficient of determinations (R2) is 22%. It can
be said that 22% of the variation in firm performance is explained by product
innovation, process innovation and market innovation. The value of F test is highly
significant at 1% level. The value of Durbin-Watson d is 1.711. For 89 observations
and three explanatory variables, dl is 1.434 and du is 1.577 at the 1 percent level. Since
the computed d of 1.711 is greater than du=1.577. It can be concluded that there is no
serial correlations in the residuals. Each VIF is less than 10. These results show that
multicollinearity problems were not included in this case. According to the result of
normality test, the histogram looks like a normal distribution (a bell-shaped curve).
For the checking of Homoscedsticity assumption, it can be seen from the Appendix
Table B-15, there is no systematic part in the residuals.
The coefficient of product innovation has been found to have a positive and
highly significant at 1% level. It can be concluded that product innovation is direct
positive impact on performance of confectionary businesses. The overall performance
of the firm is significantly influenced by product innovation.
The result can support Hypothesis 4(a) that “Product innovation has a
positive and significant effect on the firm performance”. Of 83 confectionery
businesses, 93 percent have product innovation activities. Consequently, production
innovation effects on the firm performance by developing new products with totally
differing from the current ones. Moreover, the businesses improved current products
to ease of use for customers. The result cannot support Hypothesis 4 (b) that
“Process innovation has a positive and significant effect on the firm
101
performance” and Hypothesis 4 (c) that “Marketing innovation has a positive
and significant effect on the firm performance”.
4.5 Analysis on Effect of Innovation on Firm Performance Measures
To analyze the correlations of innovation and performance, the four measures
of performance were used in this study: increase in number of employees, increase in
number of production, increase in sale volume and increase in profit during the last
three years (2013-2015). In the following, the influencing types of innovation on each
performance measure are analyzed.
4.5.1 Influencing Types of Innovation on Firm Performance Measures
(Number of Employee)
To analyze the influencing types of innovation on firm performance in terms
of number of employees, the multiple regression method is applied by identifying the
product, process and market innovation as the independent variables and the number
of employees as dependent variable.
Table (4.18) Influencing Innovation Types on Firm Performance Measure(Number of Employee)
Dependent variable (Performance)
Unstandardized Coefficient t test Sig VIF
B Std. Error
(Constant) 2.068 .443 4.663 .000
Product Innovation .351*** .099 3.545 .001 1.204
Process Innovation -.053 .124 -.426 .671 1.769
Market Innovation .187** .084 2.231 .028 1.547
Adjusted R Square .195
F-value 8.094***
Durbin-Watson 1.939 Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
Table (4.18) mentioned the relationship between innovation types and
performance measured with number of employee. The multiple regression method is
applied by identifying the product, process and market innovation as the independent
variables and the number of employees as dependent variable. According to the result,
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the coefficient of determinations (R2) is above 19%. It can be said that 19% of the
variation in firm performance in terms of number of employee is explained by
product, process and market innovation. The value of F test is highly significant at
1% level. The value of Durbin-Watson d is 1.939. For 89 observations and three
explanatory variables, dl is 1.434 and du is 1.577 at the 1 percent level. Since the
computed d of 1.939 is greater than du=1.577. It can be concluded that there is no
serial correlations in the residuals. Each VIF is less than 10. These results show that
multicollinearity problems were not included in this case. The coefficient of product
innovation has been found to have a positive and highly significant at 1% level. It can
be concluded that product innovation has direct positive impact on performance
measured with number of employees in confectionary businesses.
The result can support Hypothesis 5(a) that: “Product innovation has a
positive and significant effect on the firm performance in terms of number of
employees”. The management’ innovative personality and increased number of
skillful workers is one of the important drivers to improve product quality and
productivity. Product innovation leads to increase human resource. However, the
result cannot support Hypothesis 5(b) that: “Process innovation has a positive and
significant effect on the firm performance in terms of number of employees”. The
coefficient of marketing innovation has been found to have a positive and significant
at 5% level. It can be concluded that marketing innovation has direct positive impact
on performance measured with number of employees in confectionary businesses.
Therefore the result can support Hypothesis 5(c) that: “Marketing innovation has a
positive and significant effect on the firm performance in terms of number of
employees”. Because of the businesses renewed the distribution channels in the
delivery of the product, the production volume need to increase with higher sale
volume. The more need for work force as the more increase in productivity.
4.5.2 Influencing Types of Innovation on Firm Performance Measure(Production Volume)
To analyze the influencing types of innovation on firm performance in terms
of production volume, the multiple regression method is applied by identifying the
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product, process and market innovation as the independent variables and the
production volume as dependent variable.
Table (4.19) Influencing Innovation Types on Firm Performance Measure
(Production Volume)
Dependent variable (Performance)
Unstandardized Coefficients t test Sig VIF
B Std. Error
(Constant) 2.887 .491 5.881 .000
Product Innovation .274** .110 2.497 .014 1.204
Process Innovation .083 .137 .608 .545 1.769
Market Innovation .027 .093 .288 .774 1.547
Adjusted R Square .082
F-value 3.630***
Durbin-Watson 1.816 Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
In Table (4.19), the impact of innovation types on performance measured with
number of production. As shown in the Table, the coefficient of determinations (R2) is
8%. It can be said that 8% of the variation in firm performance measured with number
of production by product, process and market innovation. The value of F test is highly
significant at 1% level. The value of Durbin-Watson d is 1.816. For 89 observations
and three explanatory variables, dl is 1.434 and du is 1.577 at the 1 percent level. Since
the computed d of 1.816 is greater than du=1.577. It can be concluded that there is no
serial correlations in the residuals. Each VIF is less than 10. These results show that
multicollinearity problems were not included in this case. The coefficient of product
innovation has been found to have a positive and significant at 5% level. It can be
concluded that product innovation has direct positive impact on performance
measured with number of production in confectionary businesses. The result can
support Hypothesis 6 (a) that: “Product innovation has a positive and significant
effect on the firm performance in terms of production volume”. However, the
result cannot support Hypothesis 6(b) that: “Process innovation has a positive and
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significant effect on the firm performance in terms of production volume” and
Hypothesis 6(c) that: “Marketing innovation has a positive and significant effect
on the firm performance in terms of production volume”.
4.5.3 Influencing Types of Innovation on Firm Performance Measure
(Sales Volume)
To analyze the influencing types of innovation on firm performance in terms
of sales volume, the multiple regression method is applied by identifying the product,
process and market innovation as the independent variables and the sales volume as
dependent variable.
Table (4.20) Influencing Innovation Types on Firm Performance Measure (Sales Volume)
Dependent variable (Performance)
Unstandardized Coefficient
t test Sig VIFB Std. Error
(Constant) 2.887 .491 5.881 .000
Product Innovation .274** .110 2.497 .014 1.204
Process Innovation .083 .137 .608 .545 1.769
Market Innovation .027 .093 .288 .774 1.547
Adjusted R Square .082
F-value 3.630***
Durbin-Watson 1.816Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
As shown in Table (4.20), the coefficient of determinations (R2) is 8%. The
value of F test is highly significant at 1% level. The value of Durbin-Watson d is
1.816. For 89 observations and three explanatory variables, dl is 1.434 and du is 1.577
at the 1 percent level. Since the computed d of 1.816 is greater than du=1.577. It can
be concluded that there is no serial correlations in the residuals. Each VIF is less than
10. These results show that multicollinearity problems were not included in this case.
The coefficient of product innovation has been found to have a positive and
significant at 1% level. It can be concluded that product innovation has direct positive
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impact on performance measured with sales volume in confectionary businesses. The
result can support Hypothesis 7 (a) that: “Product innovation has a positive and
significant effect on the firm performance in terms of sale volume”.
Relating the product innovation to firm performance causes to distinguish
between three sources from which the extra revenue comes from (Kerin, Harvey and
Rothe, 1978, as cited in Reichstein, 2000):
New consumers who were not previously buyers of the product type.
Consumers of competitive brands.
Consumers of an existing company brand who switch to the new or
reformulated brand or product.
However, the result cannot support Hypothesis 7(b) that: “Process innovation
has a positive and significant effect on the firm performance in terms of sale
volume” and Hypothesis 7(c) that: “Marketing innovation has a positive and
significant effect on the firm performance in terms of sale volume”.
4.5.4 Influencing Types of Innovation on Firm Performance Measure (Profit)
To analyze the influencing types of innovation on firm performance in terms
of profit, the multiple regression method is applied by identifying the product, process
and market innovation as the independent variables and profit as dependent variable.
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Table (4.21) Influencing Innovation Types on Firm Performance Measure (Profit)
Dependent variable (Performance)
Unstandardized Coefficient t test Sig VIF
B Std. Error
(Constant) 1.518 .454 3.348 .001
Product Innovation .451*** .101 4.449 .000 1.204
Process Innovation -.050 .127 -.397 .692 1.769
Market Innovation .239** .086 2.787 .007 1.547
Adjusted R Square .292
F-value 13.124***
Durbin-Watson 1.778Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
According to Table (4.21), the coefficient of determinations (R2) is 29%. The
value of F test is highly significant at 1% level. The value of Durbin-Watson d is
1.778. For 89 observations and three explanatory variables, dl is 1.434 and du is 1.577
at the 1 percent level. Since the computed d of 1.778 is greater than du=1.577. It can
be concluded that there is no serial correlations in the residuals. Each VIF is less than
10. These results show that multicollinearity problems were not included in this case.
The coefficient of product innovation has been found to have a positive and highly
significant at 1% level. It can be concluded that product innovation has direct positive
impact on performance measured with profit of confectionary businesses. In addition,
the coefficient of market innovation has been found to have a positive and significant
at 5% level. It can be concluded that market innovation has direct positive impact on
performance measured with profit of confectionary businesses. The result can support
Hypothesis 8(a) that: “Product innovation has a positive and significant effect on
the firm performance in terms of Profit”. However, the result cannot support
Hypothesis 8(b) that: “Process innovation has a positive and significant effect on
the firm performance in terms of Profit”. The result can support Hypothesis 8(c)
that: “Marketing innovation has a positive and significant effect on the firm
performance in terms of Profit”. In three types of innovation, product innovation
highly and significantly impact on performance with all measures. It can be concluded
that developing new product and increased output quality caused to increase the firm
performance.
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4.6 Summary of Innovation and Performance of Confectionery Businesses
By analyzing the drivers of innovation, types of innovation and performance
for randomly selected 86 confectionery businesses in Mandalay municipal area, the
result of drivers and innovation of confectionery businesses can be explored. This
result summary is presented with Table (4.22) for simplicity.
Table (4.22) Summary of Innovation Drivers of Confectionery Businesses
Independent Variable
Dependent Variable
Product Innovation
Process Innovation
Marketing Innovation
B Sig B Sig B Sig
Intellectual Capital.195** .030
.349*** .003
.517*** .001
Organization Structure - - .240* .097 - -
Organization Culture - - -.234* .077 - -
Market Strategy .420*** .000 - - - -
Manufacturing Strategy -.247** .008 - - - -
Customer Needs and Wants
- - - - .648** .015
Intensity of Competition .484*** .000 .255* .053 - -
Technological Opportunity
-.357*** .001 - -
Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
According to the result, although this study found that the sizes of the firms do
not impact on product innovation because every size of the firms innovated in
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Mandalay confectionary industry, Miller, Droge and Toulouse (1988) said that once
organizations increase in size, they require more elaborate control systems and
gradually lose on their ability to innovate. It is difficult for older organizations to
generate innovations due to distorted perceptions, dulled motivation, poor creativity,
political deadlocks and disconnected actions (Dougherty and Heller, 1994). In this
study, the age of the firm is not an important factor in innovation. It can be seen that
some long life span businesses have so many new things e.g., Traditional
confectionery firms, Myint Myint Khin, has more than 100 years life span (since
1912), have the product, process and marketing innovative activities. The business
minded the customers’ health consciousness in using ingredients, the customers’
changing lifestyles in packing, marketing and distribution.
Table (4.22) shows the analysis result after using multiple regression method.
According to table, intellectual capital can cause the firm innovation. In the study,
centralized and formalized organization structure is mostly founded. Therefore
management support is important in decision making even though the employees are
rewarded for their creative ideas. Rewarding employees for their innovative idea and
well performance drives the firms’ innovation. In addition, customer orientation by
understanding the needs and circumstances of the customers very well namely market
strategy is a force in the firm innovation. Making cost effective in manufacturing
process can drive the firm innovation. Moreover, the external factors: customer
orientation, intensity of competition and technological opportunity, drive the firm
innovations.
Table (4.23) Summary of Innovation and Performance of Confectionery Businesses
Independent Variable
Dependent Variable
No. of employees
Production volume Sale volume Profit
B Sig B Sig B Sig B Sig
Product Innovation
.351*** .001
.274** .014
.274** .014
.451*** .000
Marketing Innovation
.187** .028 - - - - .239** .007
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Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
As the types of innovation, product innovation is mostly implemented by the
confectionery businesses. Table (4.23) describes the result of analyzing the types of
innovation and the performance of businesses. The product innovation influenced on
all performance measured of the firm. The market innovation impact on number of
employee and profit measured.
CHAPTER 5
CONCLUSION
This chapter discusses the findings from the study of Mandalay confectionary
businesses that are innovated and baked based confectionary. The baked based
confectionary businesses are classified into two types such as traditional
confectionery and bakery firms. Data analysis concerning the drivers of innovation,
types of innovation and performance of confectionary businesses in Mandalay and the
results are discussed. It also provides suggestions and comments and the needs for
further study.
5.1 Findings and Discussions
In Mandalay, although confectionary businesses have fostered the innovation
in their businesses, it is not assured that all of the businesses will know about the
factors influencing the innovation and the business performance. Therefore this study
intends to explore the drivers on each type of innovation and analyzed the relationship
between types of innovation and firm performance of confectionery businesses in
Mandalay.
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Moreover, in Mandalay confectionary industry, new food products are
carefully prepared to meet the standard of healthy food quality, in taste, ingredients
etc as the consumption patterns have shifted over time toward more low-fat and less
sugar. Some foods are modified with easy-to-carry packages due to the changing of
consumers’ lifestyles. Sales promotions are made by using better distribution system
and transportation throughout the country. Therefore it is important to know what
factors are driving the innovation and the performance of confectionary businesses in
Mandalay.
Innovation enables the firms to become competitive and to satisfy customers’
needs and wants that are always changing. As innovation is important in the success
of businesses, there is a need to find out the factors that are driving force of the
innovation. Although previous studies considered several factors that had effect on
innovation, this study aims to analyze general firm characteristics, firm structure, firm
strategy, customer needs and wants, intensity of competition and technological
opportunity as independent variables and types of innovation and firm performance as
dependent variables. The important innovation drivers are summarized after
conducting factor analysis. And then the correlation coefficient between independent
and dependent variables can be calculated by using multiple regression method.
Previously in confectionary businesses, manpower and machineries are used
together starting from kneading to baking process. During this processes, it is
important to make them step by step. Kneading, rolling, moulding, sending to the
baking sheet with the use of chains, adjusting the chains movement to be slow or fast
by checking the trays coming out from the baking sheet, arranging the finished trays
are continuous processed to be in harmony with the utility of manpower and
machineries. At that time the role of bakers were the main workers in business. At
present, coal boilers are replaced and machineries are used more for kneading to
baking process. Therefore the leaders’ experience is important in managing the
confectionary businesses.
Chryssochoidis (2003) studied firm size, firm age and ownership status as
organizational demographic characteristics associated with product innovation.
However, this study found that general characteristics of the firm are not related to
any types of innovation. It can be concluded that the confectionery businesses in
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Mandalay are innovated within the scope of business regardless of the firm size, firm
age and ownership status
Firstly, the result of the study confirmed the belief of Freel (1999) that
management competency is one of the skills constraints affecting innovation. Beaver
and Jennings (2000) and Jennings and Beaver (1997), as cited in Vyas (2009) said
that the innovative personality of firm’s key decision makers caused competitive
advantage. In this study, one of the innovation drivers, intellectual capital which
contained innovative personality, skilled labor and social capital, strongly impact on
all three types of innovation.
In order to get involved workers in the innovation process, the firm should
develop support organizational mechanisms, infrastructure, governance, and so on
(O’Connor and McDermott, 2004). An important part of knowledge, abilities,
experiences, and behaviors required for the successful development of new products
and services lies inside and embedded within the organization. The supply of higher
levels of education, training and skills is strongly related to the increased demand for
and supply of innovation. At the most fundamental level it has been shown that
investment in capital equipment, innovation and human capital are broadly
complementary and mutually reinforcing (Lloyd-Ellis and Roberts, 2002, as cited in
Toner, 2011).
Among the internal factors shown to be the most important determinants of
innovative activity are high incidence of qualified workers, and strong leadership
provided by a highly educated director or founder (Hoffman, Parejo, Bessant, Perren,
1998; Le Blanc, Nash, Gallagher, Gonda, Kakizaki, 1997) although some studies do
not find that effect (Keizer et al., 2002). Innovation is not related to the number of
highly educated staff (Radas et al., 2009). However Mohnen and Roller (2005)
showed that human capital is one of the crucial factors in innovative activities, and
that absence of necessary skills is a serious impediment to innovation.
In this study, the present employees in the business are more involved than the
new workers in implementing the business’s innovative activities. From the
management point of view, the retention of these employees is an important factor.
Therefore the business considered the plan to secure the services of these existing
workers. For example, Bayin biscuit never layoff even though in the sale decline
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season. During that time, the business is engaged in producing products in advanced
for the peak season. In this way, the confectionery businesses manage to retain their
skillful employees. Some of the confectionery businesses hired international bakers
and trained their workers. Moreover, the business permitted their employees to create
new product, welcome their original ideas to create and to test the prototype and then
if the market testing is successful, the business rewarded the innovative workers.
However, according to Myanmar culture the business owners mostly generated the
innovative idea and are decision makers.
During the implementation phase, greater formalization and centralization can
be allowed because role conflict and ambiguity is reduced. In this study, most of the
innovated confectionery businesses applied formalized and centralized organization
structure. However, Zaltman et al., (1973) concluded that complex innovation projects
cannot be successfully pursued in highly politically empowered, centralized
unspecialized and highly rigid bureaucratic structures. Such structures overburden for
managements, affording them too little time or assistance to initiate complex projects
of innovation. Gersick (1991) noted that a “deep structure” that inhibits innovations is
in place. Zaltman et al., (1973) suggested that it is necessary to employ low
formalization and low centralization during innovation initiation phases because at
this stage information gathering and processing is crucial for success. Johne (1984)
found indeed that leaders in high-tech sectors predominantly used spoken word (low
formalization) during initiation and written progress monitoring tools during
implementation.
In order to succeed, businesses need to continually adapt to changing market
pressures to ensure customer satisfaction is achieved in a way that creates growth for
the business. Therefore businesses must innovate in order to succeed, in order to
grow, then understanding what factors are driving the innovation and how to assure
success, is essential. Organization cultures including the factors namely reward
system and management support was also positively correlated with product
innovation. The confectionery businesses recognized the new ideas and suggestions of
employees and then rewarded for the well performance. For example, Zalatwar
confectionery encouraged the employees’ new ideas by rewarding if the new ideas
were really innovated.
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As shown in the conceptual framework, market orientation is the superior firm
performance through the satisfaction of customer’s needs. According to Kohli and
Jaworski (1990), responsiveness is a key when trying to change market needs and
expectations. The studied businesses responded by making innovation to market needs.
According to Narver and Slater (1990), the three major components of market orientation,
customer orientation, competitor orientation and interfunctional coordination are long-
term in vision and profit-driven. It can be found that the confectionery businesses focused
customers’ and competitors’ orientation.
The negative correlation between manufacturing strategy and product
innovation reflected the firms’ effort to improve product quality. But the businesses
cannot efficiently reduce the cost to improve the product quality. Significantly, the
influencing strength of external factors on product innovation including customers’
needs and wants, intensity of competition and technological opportunity were the
best. For example, some confectionery business reduces the total cost of production
processes but the distribution channels cannot be changed. On the other hand, the
firms renewed the design of current or new products but the total cost of
manufacturing processes cannot be reduced.
In process innovation, intellectual capital is also the important driver to use
advanced technology and machineries. Another one, the effect of formalized
communication and centralized organization structure on process innovation reflected
the Myanmar culture. Although the confectionery businesses in Mandalay encouraged
the employees for new ideas, the important decision making was limited in the senior
management. Since the process innovation was followed by the product innovation,
organization structure, organization culture, intensity of competition and
technological opportunity are main drivers for both product and process innovation.
Marketing innovation is effected by intellectual capital and customer needs
and wants. For example, Bayin biscuit tries to implement the desire of customer that
can be known through the distributers and delivering carriers. Even though the
business wants and is able to produce new product with new price, it must be
continued production of new product with old price due to customers’ résistance in
target market.
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Consequently, the businesses measure how innovation creates the increasing
value such as revenue from new products or services, profit from new products or
services as financial and market measures (Burnett, 2011). Businesses use a variety of
measures to achieve a better understanding of the value produced, such as
profitability, new product introduction and so on. In fact, innovation remains one of
the most elusive dimensions of organizational performance to quantitatively
comprehend (Gatignon et al., 2002, as cited in Carayannis and Provance, 2007).
Performance is the result of innovation. It can be measured in three levels: output,
outcome and impact. Outputs occur as the immediate, internalized results of
innovation. New product introduction, sale volume and number of employees are
among the outputs that emerge. Outcomes include mid-range results such as revenues
and profit contributed by new products. Finally impacts represent more lasting, long-
range benefits that accrue to the firm from its innovative competence. Example of
impact performance includes status as a top innovator in the industry (Carayannis and
Provance, 2007).
This study used number of employees, production volume, sale volume and
profit as the performance measured and influenced by the types of innovation in
confectionery businesses. In analyzing the influencing innovation types on firm
performance measure: increased in number of employee: it was found that product
innovation significantly impacted on firm performance. In measuring business
performance in terms of number of production, number of sales and profit, the
significantly effect of product innovation were found on these measurements.
Continuously, the correlations of factors of product innovation and firm performance
were analyzed. The confectionery businesses used different material, components and
technology in developing new products. Moreover the businesses improved quality
and cost of material and components for product innovation. According to the
regression result of influencing innovation types on firm performance, process
innovation also impacted on firm performance measured by number of sales and
profit. The confectionery businesses implemented process innovation by using new
and more effective techniques and machines in new product development process. In
this study, the percentage of business implementing marketing innovation is very low
and the businesses with marketing innovation especially renewed the design of the
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current and new products through changes such as in appearance, packing, shape and
volume.
In Summary, among the drivers of innovation, intellectual capital is significant
driver in Mandalay confectionery businesses. Even though the confectionery
businesses gave employees freedom to materialize their ideas, according to Myanmar
culture the employees implemented the innovation under the control and support of
management. On the other hand, using the new technology and machineries for the
process innovation increased the product quality and productivity but it can also
increase cost.
5.2 Suggestions and Recommendation
Innovation is one of the most important means through which businesses
contribute to economic growth, numerous research studies were conducted to
determine which factors positively impact the innovative efforts of businesses. To be
successful over a long period of time, firms must develop the ability to innovate and
then to profit from that innovation (Nelson, 1991). From studying the confectionery
businesses in Mandalay, the drivers of innovation, namely intellectual capital,
organization structure, organization culture, market strategy and manufacturing
strategy were internally important to innovation. The lack of an educated and skilled
workforce in modern technology will be a problem for the growing of the economy.
In addition, external drivers, namely customer needs and wants, intensity of
competition and technological opportunity, are also important to innovation. After
discussing with the businesses owner, it can be known that the sales of some business
obviously declined after 2015 due to the entrance of more competitors to the
confectionery industry. These new entries competed with advanced technology and
low cost strategy. The existing businesses will be able to overcome these difficulties if
they have enough funds to catch up with the advanced technology and low cost
strategy. Therefore the realization of Myanmar’s transformation depends upon how
effectively the country can mobilize and allocate the vast financial resources needed
to support its development targets. In all areas, the institutions and policy frameworks
need to be strengthened to meet Myanmar’s ambitious reform goals. Great
government support will be fundamental to increasing productivity and to promoting
innovation in food industry.
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Although international food brands are coming into the market, these brands
cannot penetrate all clusters of consumers. Therefore the current businesses
continuously need to innovate in order to retain the success and to consider all the
drivers of innovation to get competitive advantages. Moreover the confectionery
businesses need to integrate with not only customers but also suppliers and
manufacturers in the supply chain. To get the integration, the businesses should join
the industrial association such as Myanmar Agricultural Food Processors and
Exporters Association. This organization focused on continuing to educate processors
for understanding what it takes to make nutritious, safe and high quality food and
build capacity and consumers about what constitutes good food. Moreover, it supports
the members with a broad range of capacity building programmed including food
labeling guidelines and food safety training seminars. It intends food processors to use
current technology to be able to strengthen the safety of the food and align with
international standards. Useful information about what is happening in the local but
also regional food industry can gain by joining the industrial associations. It will
support to have the capabilities to export to overseas markets. In addition, the public
and private sectors should collaborate on key food industry issues such as producing
safe and high quality food and sourcing raw materials from countries outside. The
collaboration can create value for enterprises and consumers by building capacity and
helping to drive a harmonized approach to Myanmar’s food standards. In addition,
most of the businesses provide the required information about their product such as
list of ingredients and expiry date. Although all food products have to be labeled:
FDA (according to officials from the Food and Drug Association) to ensure quality
and safety, only some confectionery businesses have FDA certification. If the
authorities could keep a check to ensure food safety, it is good for both the
manufacturers and the consumers to have more awareness. The policy makers should
support the local businesses to survive among the rivals.
5.3 Needs for Further Study
In the study, the data are collected from the confectionery businesses in
Mandalay only. Hence, the first recommendation is that further research should be
done by opening the survey to other locations in order to improve the findings of the
study. By doing so will also ascertain larger sample size where questionnaire can be
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distributed to more businesses. For example, Yangon may be the research area from
which more data about confectionery businesses can be obtained even if it does not
have traditional confectionery business such as Myint Myint Khin.
Moreover, the organizational capacities for innovation can be assessed with
the ORCI (Organizational Renewal Capability Inventory) method, which enables a
reliable diagnosis of the main organizational strengths and weaknesses in terms of
innovation. To assess and develop the capacities for company-wide sustained
innovation, the ORCI (Organizational Renewal Capability Inventory) (Nisula and
Kianto, 2013) can be applied. Organizational renewal capability is based on the
knowledge-based view of the organization (Spender, 1996) and addresses the ability
of an organization to produce sustained learning and innovation, that is, new products,
processes, practices, insights, and mental models, which enable the organization to
adapt to external changes as well as to create change from within the organization
(Kianto, 2008; Leonard-Barton, 1995; Pöyhönen, 2005).
As a final, further study can be done by focusing on the innovative
performance of confectionery businesses from the customer point of view. The impact
of innovation on customer satisfaction of confectionery business can be analyzed as
further study since this study considered the factors driving the innovation from the
side of the business.
CHAPTER 1
INTRODUCTION
Myanmar is undergoing a significant political and economic transformation.
To succeed, Myanmar must reach a more rapid, sustainable and equitable
development trajectory. This requires a transformation of the economy from an
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agrarian base reliant on small scale agriculture towards a broad range of modern
activities. The country needs to develop its industries because they are the key engine
for boosting the economy and creating job opportunities. The businesses are now
bringing new ideas to the market through innovation. In Myanmar, economic reform
measures for various sectors are aimed at adopting a market oriented system for
encouraging private investments and entrepreneurial activities.
Industrial zones are developed for creating jobs for people in new
townships‚ relocating industries in residential quarters and promoting national
entrepreneurs. However, the industrial zones have been facing many
problems‚ including lack of infrastructure‚ insufficient skilled workers and bank
loans‚ uncompetitiveness due to high production costs‚ land price speculation and
dispute between workers and employers (The New Light of Myanmar‚ August 30,
2014). Many questions have arisen to how these problems can be faced and survived
among them. Therefore there is a need to consider the factors that support the firms to
get competitive edges and survive in the industry.
Since innovation is one of the most important means through which businesses
contribute to economic growth, numerous research studies were conducted to
determine which factors positively impact the innovative efforts of businesses. To be
successful over a long period of time, firms must develop the ability to innovate and
then to profit from that innovation (Nelson, 1991). Innovation is an important driver
of the firm’s improvements. On the other hand, various factors influence firms’ ability
to innovate. It is needed to examine internal and external drivers of innovation.
Therefore this study also intends to find and analyse the factors influencing on
innovation and performance of confectionery businesses.
New product development is critical for long-term firm performance and has
become a major source of competitive advantage as companies face increasingly
volatile external environments characterized by shorter product cycle time and ever
quickening technological developments. Moreover not only local brand but also
international ones enter into the market. Thus, innovation is necessary to meet the
consumers’ changing needs and wants. Especially, foreign brands come into the field
of confectionery industry in Myanmar. Therefore the confectionery firms need to be
innovative in conducting their firms to be more competitive in the market. Innovation
is an important driver of the firm’s improvements. On the other hand, various factors
119
influence firms’ ability to innovate. Therefore the drivers of innovation will be needed
to find out. For this reason this study intends to explore the factors affecting on
innovation that is an important way for businesses to achieve competitive advantage.
1.1 Rationale of the Study
Myanmar has increased manufacturing activities but still is an agricultural
country. The manufacturing sector accounted for the lion’s share of Myanmar’s
economy from 2014-2015 at 19.9% of GDP (The Myanmar Consumer Survey, 2016).
Food industry comprises 63.5% of manufacturing sector (Ministry of Industry (1),
2012). Food and beverage production strongly dominates the private manufacturing
sector in Myanmar. It is quite interesting to learn that various food processing
industries are providers of peoples’ daily needs, which include not only food for
breakfast and fast food but also as gifts for those paying respect. In this regards, these
industries provide not only demand for market and consumers but also compete with
various foreign brands so innovation is crucial in these industries.
Myanmar food industry comprises of several distinctive segments. The
confectionery industry is also one of the segments in food industry. These include
baked goods (bakery products) like biscuits, crackers, cookies, bread, cakes and
confectionary products. Confectionery is defined as the art of making confections
which are food items that are rich in sugar and carbohydrates. Confectionery is
generally divided into two broad categories, bakers’ confections and sugar
confections. Bakers’ confection, called flour confections, includes sweet pastries,
cakes and similar baked goods. Sugar confectionary includes sweets, candy, candied
nuts, chocolates, chewing gum and bubblegum, sweetmeats and other confections that
are made primarily of sugar. In the Middle East and Asia, flour based confections are
more dominant (Myanmar Agro-Based Food Processors and Exporters Association,
2015-2016).
Moreover, over the last years, the Myanmar food sector has transformed as the
range of food prepared and the way it is consumed in Myanmar has changed. More
international food brands are coming into the market and there is a rise in the number
of local food producers, giving consumers greater choice. The food industry is poised
for growth and there are huge opportunities for local food producers and multi-
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national food companies. Therefore Myanmar food industry innovates to add value
and to meet evolving consumer demand. The industry has responded to the dynamics
of consumer demand and food retailing by introducing new product offerings that
meet growing demands from consumers for healthfulness and quality.
Bakers’ confections include sweet baked goods, especially those that are
served for the dessert course. Major categories include cakes, sweet pastries,
doughnuts and cookies. This study focuses on bakers’ confectionery industry in
Mandalay. The reasons for choosing this industry as study area are as follows. Firstly,
according to official statistics, the share of Food and Beverage industry in gross
domestic product (GDP) was 15% on average in the 1990s, while the share of the
processing and manufacturing sector to total GDP was just 9% in 1990-1991
(Ministry of National Planning and Economic Development). The share of Food and
Beverage industry in GDP increased to 19% in 2010-2011 while the share of the
processing and manufacturing sector in the total industrial sector increased by 8%
(from 69% to 77%) from 1990-1991 to 2010-2011. Secondly according to the
Directorate of Industrial Supervision and Inspection as of 31st July, 2012, Food and
Beverage Industry includes 63.51% of all categories of registered small and medium
industries (SMIs) in Myanmar. Finally, it is not only the number of small and medium
enterprises but also the number of large enterprises in Food and Beverage industry is
more than all number of enterprises in other industries.
Moreover, in this study Mandalay region was chosen for the following
reasons. Firstly, the strategic location is one of the many strength s of Mandalay, the
second largest city in Myanmar with a population of over 1.2 million. It is also the
major trading and communication center in northern and central Myanmar. Mandalay
Region is located in central Myanmar and bordering by Sagaing Region to the north,
Sagaing and Magway Regions to the west, the Union Territory of Nay Pyi Taw to the
south, and Shan State to the east. Despite Nay Pyi Taw being the country's capital,
Mandalay still remains Upper Myanmar's main commercial, educational and health
centre as the capital of Mandalay Region. It is the economic hub of Upper Myanmar
and considered the centre of Myanmar culture. Most of Myanmar border trade to
China and India goes through Mandalay (Myanmar Investment Commission,
Mandalay Investment Opportunities Survey Report, 2015). This geographically well
positioned means the potential for food production and significant development for
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trade. Secondly, the availability of the raw materials gives a great advantage.
Mandalay is blessed with abundant resources which provide the right environment for
food production. In Upper-Myanmar, most raw materials are easily available in
Mandalay such as the main raw material; wheat. For example Done Pyan Wheat Mill
is located in Mandalay Industrial Zone. Most suppliers have efficiently managed their
supply chain (transportation, delivery, etc…).
Most published research studies, which dealt with determining factors
significant for innovation, come from developed economies. Yet policy makers in
developing countries, faced with the task of crafting regulations to support innovation,
often draw upon the stock of knowledge from investigation of the firms in developed
economies. So an important issue for policy makers would be to find out to which
extent they can rely on these findings. Therefore this study focus on the finding
factors that influence on the innovation‚ to develop new products and to improve the
firms’ success through innovation.
Innovation enables the firms to become competitiveness and to satisfy
customers’ needs and wants that are always changing. As innovation is important in
the firms’ success, it must find the ways which affect innovation. Although businesses
can survive due to royal customers, they will not succeed without innovation. Most
businesses innovate to gain and keep customers and market share both locally and
globally. This study aims to link innovation, one of the main factors for success of
confectionery businesses, the motivating and hindering factors of innovation and their
performance.
According to the previous research, innovations became an important aspect
of every business activity due to the fact that they can create a new space for potential
specialization and future growth. Innovation is one of the means to be competitive and
to satisfy the customers’ needs and wants. By successfully innovating, the inventor/
business usually earns a reward in the form of money or respect. A satisfactory
outcome for the user/consumer is the improved quality, availability, diversity or
increased quantity of goods and services. The question is whether innovation is
something that can significantly improve chances of the firms in Myanmar to achieve
success.
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As the country’s infrastructures are important for the development of a
country, the citizens also need to be healthy. Therefore health consideration of
foodstuff producers is important. The problem statement of the study was motivated
by the question of what are the strong factors that affect innovation and how will the
confectionary businesses be performed.
Large firms provide streams of incremental improvements. Moreover, these
firms voluntarily disseminate much of their innovative technology widely and rapidly,
as a major revenue source and in exchange for complementary technological property
of other firms, including direct competitors. Since innovation is one of the means to
become competitive and to satisfy the customers’ needs and wants, many rival large
firms use innovation as their main weapon, with which they protect themselves from
competitors and with which they seek to beat those competitors out.
1.2 Problem Statement of the Study
The revolution is emerging in many parts of the world, including
confectionary industry. Individuals demand confectionary products which match with
their changing lifestyles. This is the growing consumer trend of eating healthy foods
that promote physical and mental health, support a strong immune system and prevent
disease. Consumers want ‘on-the-go’ eating options that offer more than high fat, high
sugar and ‘empty calories’. Food providers are interpreting consumer needs in
innovative ways such as one by one packing to be more convenient.
Some food product items such as Htoe Mont, La Mont and Sanwinmakin
(kind of pudding made with flour from the heart of wheat grain, sugar, coconut milk,
oil, butter, etc as ingredients) are produced as traditional confectionary business
during the period of twentieth century. Nowadays, new food items such as Jelly
Pudding, Pumpkin Sanwinmakin, and Carrot Sanwinmakin are produced and sold in
the food market. In the past, packaging is done with newspapers and banana leaves
and now, neat, tidy and beautiful thick card boxes are created to meet the market
demand for consumes’ needs. Additionally, plastic boxes are produced to be more
convenient and for easy use when travelling. Branch shops are also opened to
penetrate the market and to increase market share. One significant tradition of selling
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traditional confectionary businesses is that consumers can taste variety of these
Myanmar foods before they buy them.
Bakery Businesses produced European Food namely cake, bread and biscuit
in order to meet the taste of Myanmar People, Moreover, new food products are
carefully prepared to meet the standard of healthy food, in taste, ingredients etc.
Some foods are modified with easy-to-carry packages to suit the changing consumers’
lifestyles. Sales promotions are made by using better distribution system and
transportation throughout the country. These operations are conducted by the
innovation of product, process and market.
Previously, teashops and cafes sold only Marigold, Indian Pancake, but in the
later period they added cakes, La Mont and bean bread to their range of food list.
Teashop culture of Mandalay has become very popular not only as an eating place but
also as a meeting centre for discussing social and business matters. So, teashops
innovated their food products to satisfy and fulfill the demand and preference of
consumers. Today teashops are different from traditional teashops and their modified
and innovative decoration includes air conditioning and Wifi Free Service, on top of
using pure cooking oil and sugar for the consumer, giving careful consideration to the
healthy life of the people. Food producers take into account the fact that most
consumers now have much greater awareness of healthy living. In addition, the
teashop owners also take into account the cleanliness of their shops both inside and
outside, better service of waiters and waitresses and happy hours for consumers. This
study took account of some teashops and cafes as bakery businesses because of their
innovative activities in producing new products.
Innovation in the food sector is driven by trends in consumer demand for food
products with emphasis on variety, quality, nutrition, convenience, safety, reasonable
cost and environmental soundness (Barbosa and Gould, 2000). Food companies
naturally respond to such trends and increase their efforts as part of this response and
seek to gain a sustainable competitive advantage over other companies by exploiting
new technologies and innovations (Traill and Meulenberg, 2002; Lagnevik, Sjoholm,
Lareke and Ostberg, 2003). Therefore this study intends to explore and define the
important drivers of innovation and types of innovation for successful confectionery
businesses.
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The food processing businesses need to innovate in competitive edge in order
to survive. Moreover the businesses must take the consumer protection into account
and so the following Food Regulations and Related Laws are regulated by the
government to be obeyed by food processing industry in Myanmar.
(1) National Drug Law (30.10.92)
(2) National Food Law (3.3.97)
(3) Pesticide Law (11.5.90)
(4) Fertilizer Law (1.1.2002)
(5) Plant’s animals’ protection Law (16.6.93)
(6) Infection controlling and protection Law (20.3.95)
Food and Drug Supervisory Committees, Department of Health, Ministry of
Health enacted National Food Law in 1997 in order to
(a) Enable the public to consume food of genuine quality, free from danger and
hygienic;
(b) Prevent the public from consuming food that may cause danger; or are
injurious to health;
(c) Supervise production of controlled food systematically;
(d) Control and regulate the production, import, export, storage, distribution and
sale of food systematically. (The State Law and Order Restoration Council
Law No. 5/97)
This study is confined to confectionary firms located in Mandalay only.
Mandalay is the second largest city in Myanmar, whose geographical location has
helped it develop into a focal point for the transportation of foodstuffs and goods from
many parts of Myanmar and beyond. As a result of its advantageous geographical
position, a variety of goods and foodstuffs are readily available in Mandalay.
Furthermore, as a result of modernization, the number of confectionary firms in the
city is increasing and the firms are trying to catch up with the environmental changes.
“Myanmar initially attempted to adjust to the changing local and global
conditions it faced” (Thant Myint, 2004: 105, 9-10, as cited in Phatcharanuruk, 2015: 3)
in “The Making of Modern Burma”. The sustained innovation, political and economic
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reforms were taken place over the period 1853 to 1885. However, these reforms did
not succeed due to both internal and external conditions, but did provide the context
for the modernization that took place later during the British rule.
After Independence, Myanmar had a democratic government for a short period
of time, from 1948 to 1961, after which non-democratic socialist government held
power from 1962 to 1987, then a military government from 1988 to 2011. The
military government issued an agricultural development policy, with new techniques
and machinery introduced to the rural population. Factories were also built in the
cities. However developments over the period 1948 to 1987 brought little progress.
The Lives of Burma Women mentioned that at that time food related industries
sprung up and products such as canned fish, sweets and making or processing biscuits
were made.
Under the context of high competition and sophisticated demand of today
consumers, the confectionery business possess several strength such as abundant
natural resources, adequate human capital, sufficient local market, abundant potential
to set-up industries and availability of raw materials at reasonable cost. At the same
time, they have numerous weaknesses to face the challenges in food processing
industry mainly low production capacity, using traditional wisdom in manufacturing,
low local and international branding, low access to international markets, lack of
awareness in international standards and norms. It implies the fact that a
comprehensive research on confectionery business is critical to identify the types of
innovation that can lead to improving the performance of confectionery businesses in
Mandalay.
1.3 Research Questions
Confectionary firms in Mandalay are promoting their businesses with several
types of innovation. However, it is not still assured that all of the businesses will
know about the factors influencing the innovation and their performance. Therefore
the following questions are emerged.
What are the drivers of innovation?
What types of innovation are more influenced?
What are the results of innovation—such as performance results?
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1.4 Objectives of the Study
Based on the specific research questions, this study set the specific objectives.
In Myanmar, many businesses face with the problems of not having enough capital,
inadequate skilled workers, high production costs, land price speculation and dispute
between workers and employers. Therefore businesses need to consider getting
competitive edges and surviving among the rivals. In this situation, innovation is an
important factor for the firm’s improvement. Moreover various factors drive the
firms’ innovation. This study aims:
4. To examine the drivers of innovation in confectionery businesses.
5. To identify the types of innovation that influence on the firm’s performance.
6. To evaluate the effect of innovation on the firm’s performance measures.
1.5 Method of Study
This study employed both qualitative and quantitative approaches for finding
out the drivers of innovation and the types of innovation and performance of the firm.
and then survey with five-point likert scale for three constructs of independent
variables, drivers of innovation: firm structure, firm culture and external factors to
innovation and three dependent variables: product innovation, process innovation and
market innovation. The questionnaire was pre-tested to check its content validity and
modified accordingly. The modified questionnaire was tested to examine its
suitability for the target population before the actual survey.
Primary data is obtained through a questionnaire from production managers or
owners, who were responsible for the production of the confectionery firms in
Mandalay. This study focuses only on manufacturing firms because these firms are
more competitive and so need to innovate for competition. Though innovation process
is started with the step of idea generation by everyone, especially the people who
make the decision may be from the management level in the implementation process.
Therefore the interview was carried out to obtain the required data from the
management level of the confectionary firms by using structured questionnaires.
The simple random sampling (SRS) method is used to select the sample. The
sample for this study is selected from the firms which are operating especially as
manufacturing firms within at least three years time frame. In the previous study, “the
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average company 2.95 years takes for developing more innovative types of new
products” (Page, 1993, as cited in Goffin, Szwejczewski, Sweeney and New, 2000).
In the questionnaire, Likert scale questions and list type are used. The
questionnaire has been divided into two main parts. The first one is concerned with
the profile of the firm and the owners/managers. According to the framework, the
following information is included in the second section.
4. Drivers of innovation
5. Types of Innovation
6. Business Performance
In the framework, the drivers of innovation are used as the independent
variables. The types of innovation are the dependent variables. To understand the
factors influencing innovation and innovativeness, confectionary business owners and
managers in Mandalay municipal area were interviewed by questionnaires. The
questionnaire was designed to assess a firm's general characteristics, business
structures, culture, strategies, barriers and types of innovation and business
performance. The preparation of the questionnaire takes into account questionnaire
forms used in similar studies and commonly accepted measures met in the literature.
Specifically, questions are raised for independent variables regarding firm
characteristics, firm structure, firm culture and external factors using a 5 point likert
scale to inquire the importance the firm awards to each item in a scale ranging from 1
= strongly disagree to 5 = strongly agree. For barriers to innovation was prepared yes
or no questions. The questions about type of innovation are also enquired employing a
5 - point Likert scale. The respondents are asked to indicate “whether the innovative
activities are implemented or not in your organization in the last three years” ranging
from 1= ‘strongly disagree’, 2= ‘disagree’, 3= ‘neutral’, 4= ‘agree’, 5= ‘strongly
agree’.
On the other hand, some of the determinants of innovativeness such as general
firm characteristics (i.e., size, age and ownership status) is in a different scale (the
answer to these determinants have either nominal values or ordinal). Discussion with
some of the business owner was undertaken before the questionnaires are prepared.
Data collection began at the last quarter of 2016. The questionnaires were used to
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make face to face interview with firms’ owners or upper level managers of the
confectionary businesses in Mandalay municipal area.
In the questionnaire, there were two sections. In section one, general
information of the firm were collected by using eight questions (number of
employees, firm age, ownership status, number of product items, time for NPD and
cooperators in innovation and so on) as Part A. In Part B of Section one, the personal
data of the owners/managers was collected with nine questions (position, age, gender,
educational level and the perception of innovativeness). In Section two Part A, as
internal factors, fifty nine items (11 items for intellectual capital, 9 items for
organization structure, 9 items for organization culture, 6 items for market strategy,
10 items for manufacturing strategy 6 items for customer needs and wants, 5 items for
intensity of competition and 3 items for technological opportunity) with five-point
Likert scale were used to measure the selected variables: 1 Strongly disagree, 2
Disagree, 3 Neither agree nor disagree, 4 Agree, 5 Strongly agree. In the Part B of this
section, 13 items (5 items for product innovation, 4 items for process innovation and 4
items for marketing innovation) were used to measure the innovative activities of the
business. And then five point Likert scale were used to measure the business
performance; number of employees, number of production, number of sale and Profit:
1 = Much declined, 2 = Moderate declined, 3 = Not change, 4 = Slightly improved, 5
= Improved. The last part of section two included the questions about the performance
of business.
1.6 Research Hypotheses
In this study, the hypotheses are tested by analyzing data collected from survey
work. These hypotheses are as follows:
H1 (a) Firm characteristics have a positive and significant effect on product
innovation.
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H1 (b) Firm structure has a positive and significant effect on product innovation.
H1 (c) Firm strategy has a positive and significant effect on product innovation.
H1 (d) External factors have a positive and significant effect on product
innovation.
H2 (a) Firm characteristics have a positive and significant effect on process
innovation.
H2 (b) Firm structure has a positive and significant effect on process innovation.
H2 (c) Firm strategy has a positive and significant effect on process innovation.
H2 (d) External factors have a positive and significant effect on process
innovation.
H3 (a) Firm characteristics have a positive and significant effect on marketing
innovation.
H3 (b) Firm structure has a positive and significant effect on marketing
innovation.
H3 (c) Firm strategy has a positive and significant effect on marketing innovation.
H3 (d) External factors have a positive and significant effect on marketing
innovation.
H4 (a) Product innovation has a positive and significant effect on the firm
performance.
H4 (b) Process innovation has a positive and significant effect on the firm
performance.
H4 (c) Marketing innovation has a positive and significant effect on the firm
performance.
H5 (a) Product innovation has a positive and significant effect on the firm
performance in terms of number of employees.
H5 (b) Process innovation has a positive and significant effect on the firm
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performance in terms of number of employees.
H5 (c) Marketing innovation has a positive and significant effect on the firm
performance in terms of number of employees.
H6 (a) Product innovation has a positive and significant effect on the firm
performance in terms of production volume.
H6 (b) Process innovation has a positive and significant effect on the firm
performance in terms of production volume.
H6 (c) Marketing innovation has a positive and significant effect on the firm
performance in terms of production volume.
H7 (a) Product innovation has a positive and significant effect on the firm
performance in terms of sale volume.
H7 (b) Process innovation has a positive and significant effect on the firm
performance in terms of sale volume.
H7 (c) Marketing innovation has a positive and significant effect on the firm
performance in terms of sale volume.
H8 (a) Product innovation has a positive and significant effect on the firm
performance in terms of profit.
H8 (b) Process innovation has a positive and significant effect on the firm
performance in terms of profit.
H8 (c) Marketing innovation has a positive and significant effect on the firm
performance in terms of profit.
1.7 Scope and Limitations of the Study
This study focuses on the factors contributing to the innovative effort of
confectionery businesses and set out to investigate the innovative activities
undertaken by these businesses. From the database of the Industry Supervision and
Inspection Department, 89 confectionary firms in Mandalay municipal area are
surveyed by simple random sampling (SRS). From these firms, only innovative firms
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were analyzed to explore the major drivers of innovation. The innovative firms were
selected by asking whether they introduced new product, process and market or not.
Though innovation process begins with the step of idea generation, the people
who make the decision may be from the management level in the implementation
process. In this study, it is assumed that the firms’ managers already have creative
idea. Therefore the first step of innovation process, the idea generation is to be
ignored and the study omitted the idea creation. The interview was carried out to
obtain the required data from the management level of all the innovative
confectionary businesses.
1.8 Organization of the Study
This study consists of five chapters. Chapter one is the introduction of the
study. It includes the rationale of the study, problem statement of the study, research
question, objectives of the study, method of study, research hypotheses, scope and
limitations of the study and organization of the study. Chapter 2 provides the literature
review on business innovation and performance. It describes previous major works on
definition, determinants, process and innovativeness of the businesses. Chapter 3
provides the research methodology with the research area, research method, sampling
and then data collection and cleansing. In Chapter 4, the analysis and interpretation
regarding the drivers of innovation and the relationship between the firms’ innovation
and performance of the firm are described. Chapter 5 presents conclusions,
recommendation and suggestions for future research.
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CHAPTER 2
LITERATURE REVIEW
This chapter presents the concepts and literature review for the framework of
the study. Firstly, the concept of innovation is reviewed. And then the literature
review of the drivers of innovation, types of innovation and the performance of the
firm are described as the conceptual framework of the study.
2.1 The Concept of Innovation
Joseph Schumpeter (1934) as cited in Croitoru (2012) defined innovation as
"the creation of new combinations that is the introduction of new good, of new
quality of good, or of new method of production, the opening of a new market, the
conquest of new source of supply of raw materials or half-manufactured goods, and
finally the carrying out of the new organization of any industry". Excluding any
innovation and innovative activities remained in stationary stage (Bigliardi, Colacino,
and Dormio, 2011). Today it is commonly accepted that without innovative activities
the development in individual companies and the whole of the society will stop. On
the other hand it is important to know what factors influence the business innovation
and how the business succeed through innovation.
The term innovation derived from the Latin (Hsu 2005, as cited in Ottosson
2006) means new or young or novel. It has various accepted definition. For most
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people “to be innovative” means to be creative and to make something new. For some
people it means a new idea, for others it means an invention (a materialized new
idea), for some a new product (a developed invention), for some others it means the
art of creating a new product or process, and still for some others it means to create a
new business. For most people “to be innovative” means to be creative and/or to make
something new.
As inventions and innovations are associated phenomena, innovation scholars
make it a point to clarify the distinction between the two. It is explained that though
invention is a prerequisite for many innovations, it is only when an invention is
exploited commercially that it results in innovation (Brenner, 1990). Another, though
less popular approach to distinguish innovation from inventions has been to claim that
inventions relates to new ideas in general whereas innovations are ideas that are new
within a specific context (Van de Ven and Poole, 1989 and Damanpour, 1987).
Research and development (R&D) is shown to be concerned with the
commitment of resources to research and the refinement of ideas aimed at the
development of commercially viable products and processes whereas innovation is
concerned with subsequent product (or service) development process.
Innovation, however, is considered a nebulous concept. Godin (2002) believes
that the ambiguity in meaning is caused by the following factors.
5. Depending on the analyst's research focus and convenience of data
availability, it is defined as an outcome or as an action.
6. There is no settled opinion on whether an innovation should be new to the
world, to the nation, to the industry or to the firm.
7. With reference to process innovation, a firm can be innovative both by
inventing new production processes, as well as by using new technologies
invented by others.
8. Conducting R&D as well as acquiring advanced technologies and employing
highly skilled workforce both are perceived as being innovative.
Innovation is the introduction of new ideas, goods, services, and practices
which are intended to be useful (though a number of unsuccessful innovation can be
found throughout history).The main driver for innovation is often the courage energy
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to better the world. An essential element for innovation is its application in a
commercially successful way. Innovation has punctuated and changed human history
(consider the development of electricity, steam engines, motor vehicles, etc).
Moreover innovation seems to involve not only new ideas and their development, but
also change and risk (Norris, 1981).
Although the importance of innovation is widely recognized, there is no
unanimously accepted definition on what innovation means. Comparing the numerous
definitions, Goffin and Mitchell (2010) noticed that they cover a set of common
elements:
1. what is changed (products, services, business process, and manufacturing
process);
2. the degree of change (a completely new output or some modifications were
implement to a previous version of the product).
With this regard, there are radical innovations, which represent completely
changes compared to the existing ones and incremental innovations, which represent
small changes to existing products.
Promoting economic growth through wealth and employment creation is the
only way to reduce poverty in a sustainable way. Likewise innovation is increasingly
recognized as having an important contribution to make to organizational success,
performance and survival. Drucker (1985) argued that innovation is the tool of
entrepreneurship. In addition, both innovation and entrepreneurship demand
creativity. Creativity is a process by which a symbolic domain in the culture is
changed. Moreover the development of successful new products is one of the ways in
which companies can achieve competitive advantage. New product development
(NPD) is a process which carries a great deal of risk. For NPD to be effective,
companies have to nurture an innovative corporate culture so that everyone in the
organization is encouraged to be innovative in their work.
Most organizations are looking to find the potentials for creating competitive
advantages. The ability to develop new products is among the capability benefits and
it’s also the central point in contesting for many industries and in fact new products
develop more and therefore there is more profits and create a competitive advantage
for companies.
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2.2 Innovation Process
The multistage process whereby organizations transform ideas into
new/improved products/services or processes, in order to advance, compete and
differentiate themselves successfully in their marketplace (Baregheh, Rowley, and
Sambrook, 2009). Firms are also motivated to improve processes in order to reduce
costs, expand their production possibilities and also to improve production flexibility
and co-ordination (Davies 1988, Tirole 1988, Davenport 1993). There are three main
stages in the innovation process:
4. Generation of ideas: individuals and teams are producing new ideas and
improving existing ones.
5. Harvesting ideas: the act of gathering the ideas, sifting through them and
evaluating them.
6. Developing and implementing the ideas: the research, testing, improving and
development of the ideas and their implementation (Thomas, 2006).
To innovate is to introduce something new – product, method or service. It is a
combination of two processes: generating new ideas and implementation of them.
Innovations, a type of change which can be either a series of steps or one huge leap
towards in a desired direction.
Innovation calls for good leadership management at all levels of the
organization. Good leaders will stimulate people to be more hand on and interested in
their work, and in turn, this will lead to the generation of more good ideas. Managerial
leaders are needed for change to be able to happen and change brings about the need
for leaders.
A general interest in all things leads to ideas. The recognition by management
of these ideas leads to greater job interest, a deeper involvement and commitment
from staff. However innovation is more than having new ideas, practical and
commercial products or services. Most change happens gradually a development of
existing ideas, products and services.
According to Verworn, Hersttt, Nagahara, Luthje, and Herstatt, (2000/2006) a
simplified innovation process encompasses several systematic steps such as
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requirement analysis, idea generation, idea evaluation, project planning, product
development, product testing, and product marketing.
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Figure (2.1) Three Phases of a Simplified Innovation Process
Source: Verworn et al. (2000/2006)
As shown in Figure (2.1), there are three phases of a simplified innovation
process. These three phases are conception, implementation and marketing. Firstly it
is needed to transform the new ideas into new product and then need to test and try
whether the new product may be commercialized. This study emphasized on the
implementation process to assess the relative contribution of the drivers of innovation,
the types of innovation and performance of the firm.
Most organizations are looking to find the potentials for creating competitive
advantages. The ability to develop new products is among the capability benefits and
it is also the central points in contesting for many industries and in fact new products
develop more and therefore there is more profits and create a competitive advantage
for companies.
In response to environmental changes in an appropriate manner, companies
suspend or modify production or supply of some products. In addition, in order to
identify and supply customers’ demands in different markets and to launch long term
business and increase commercial outcomes, the companies must develop new
products. New product development is a term used to describe a complete process to
achieve a new product, a process beginning from ideas and ending to commercial
exploitation of the new product. Companies have to modify previous products or even
develop new products not only for improvement but also for survival in the
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3 Phases of a Simplified Innovation Process
Conception Implementation Marketing
• RequirementAnalysis• Idea Generation• Idea Evaluation• Project Planning
• Development/Construction• Prototype Dev.• Pilot Application• Testing
• Production• Market Launch and Penetration (national /international)
competitive environment; so that developing new products with superior quality,
reduced cost and time (from designing to reaching marketplace) assures customers’
satisfaction and profitability. New product development is a substantial approach for
company survival in a competitive market.
The product innovation process involves a series of sub-processes dominated
by the product development process. Product development can be defined as “the
process that transforms technical ideas or market needs and opportunities into a new
product and on to the market”. It includes strategy, organization, concept generation,
product and marketing plan creation and evaluation, and the commercialization of a
new product. The product development process is a disciplined and defined set of
tasks, steps, and phases that describe how a company repetitively converts ideas into
saleable products and/or services. The product development process itself can be split
up into three phases: policy formulation, idea finding and strict development.
Enterprises must constantly innovate and conduct research on new products,
choose appropriate products with new technology, cope with customer demands and
the threat from new competitors. A new product development (NPD) strategy is an
important activity that helps enterprises to survive and make continuous
improvements. Most enterprises have now placed great emphasis on shortening the
time for a new product coming into the market. Analyzing performance impact of
customer interaction in new product development on a more general level can yield
important managerial insights.
The US based Product Development & Management Association defines new
product development as “A disciplined and defined set of tasks and steps that describe
the normal means by which a company repetitively converts embryonic ideas into
saleable products or services” (Belliveau, Griffin and Somermeyer, 2002, as cited in
Amue and Adiele, 2012) . According to Wheelwright and Clark (1992), companies
need to be able to bring new products fast to the market in order to succeed in the
global and dynamic competition, products that satisfy the expectations of the
customer.
In fact, it is largely accepted that NPD is remarkably important for the
survival, sustainable competitive advantage and performances of every company
(Cormican and O’Sullivan, 2004; Di Benedetto, Calantone, Van Allen and Montoya-
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Weiss, 2003; Song and Parry, 1997; De Brentani, 1989). The development of a new
product by a company begins when the need to create a new product appears either
due to the emergence of a new technology, or the appearance of a competitive product
or a change in the existing legal framework and is completed with the final
introduction of the product in the market.
A company or an enterprise may proceed to a new product development
whether that company or enterprise is part of a rapidly changing market or not. Those
new products may be based on other already existing ones and act as a complement or
improvement to existing offerings, or may be totally new products based on new
technology without the need of support from others. A company or enterprise decision
to develop a new product is probably one of the most important decisions to be made
in the history of that company or enterprise, because a new product development is
directly linked with the development and the evolution of that company or enterprise.
Song and Montoya-Weiss (1998) considered the growing in current market
and technology strategy lead to incremental new product development. A
development strategy that pursues a new market with a new product and technology
will create a “real new product”. A strategy involving a current market and new
product or new market and current product is classified as a moderate innovation.
The “newness” of a new product can vary from high to low and depends on
whose perspective and what is new. The different perspectives yield the following:
1. New to the world
2. New to the industry
3. New to the manufacturing firm
4. New to the market
5. New to the customer
Viewed in terms of what is new, yield the following:
1. New technology
2. New process
3. New features
4. New uses
5. New design
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The degree of newness is an indicator of the difference between the new
product and the existing one. The change (depending on the perspective) can vary
from minor or incremental to major or radical.
In the other study, information on customer needs and user experiences were
viewed as resources companies depend upon for successfully developing new
products. Due to the advances in science and technology and the rapid changes in the
market, a product’s life cycle has become much shorter than before. Therefore
enterprises must constantly innovate and conduct research on new products, choose
appropriate products with new technology, cope with customer’s demands and the
threat from new competitors. A new product development (NPD) strategy is an
important activity that helps enterprises to survive and make continuous
improvements.
Cooper (1983) proposed a new product development procedure. This
procedure covers various activities such as creation, creation dissemination,
preliminary product development, economic analysis, product prototype test, pilot
run, product mass production and entry to market.
Song and Parry (1997) adopted four indexes to measure the comparative
success level for a manufacturer’s new product as: (1) overall profit; (2) new product
sales compared with competitors; (3) profit rate for new product compared with
competitors; (4) new product success compared with the expected profit. Calantone,
Di Benedetto, and Haggblom (1995) utilized the return on investment (ROI) and the
growth rate on investment (GROI), return on sales (ROS) and growth rate on sales
(GROS) and market share and growth rate as performance measurement indexes.
Cooper (1984) chose three indexes to measure new product development performance:
(1) overall performance of new product; (2) success rate of new product development;
(3) effect of new product on a company.
Hopkins (1981) took five indexes to measure new product development
performance: (1) finance evaluation; (2) objectives evaluation; (3) rate for new
product accounted for in the gross sales amount; (4) percentage of successful new
product development; (5) overall subjective satisfaction scores for new product
development. Dwyer and Mellor (1991) used four indexes: (1) assessment of the
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overall success or failure; (2) profit level; (3) sales goal; (4) opportunities that could
be brought by the new product in the future.
Sixotte and Langley (2000) thought that cross department horizontal
communication and information exchanges could greatly decrease the uncertainty in
new product development and improve new product development performance.
New product development strategy thought that there were four variables
concerning a new product development strategy (Cooper 1984).
(1) Orientating the enterprise to a new product: This includes creating a new
product, developing a better product for meeting the customer’s demand than
that of competitors, and product concentration and differentiation.
(2) Market characteristic adopted by the new product: This includes the
characteristics for a new market, customers, competitors and new sales
channels.
(3) The enterprise’s technological orientation and commitment: This includes the
percentage of R&D expense to sales amount, company’s R&D orientation,
etc.
(4) Technological characteristic adopted by the new product: This includes more
advanced and complicated technologies, closely matched with the company’s
R&D resources, technical maturity and concentration.
Komininos, Milossis and Komininos (2002) stated that an enterprise should
follow the new product development model for the proper development of a new
product in New Product Development.
1. Creation of ideas
2. Evaluation of ideas – Selection of final idea
3. Product development
4. Manufacture of prototype
5. Product promotion
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1. Creation of Ideas
Prior to the development of a new product, it is necessary to have some initial
ideas for new products, one of which will become the new product. The creation of
those ideas forms the basis for the proper development of a new product.
a. Ideas from customers or users of company products
Ideas for new products can quite easily ensue from the customers of the
company or from users of previous company products. In this case, the golden rule is
for the company to offer its customers what they want and not what the company
thinks they want. Gathering such ideas is very easy with the use of questionnaires
either upon the purchase of a product (research at the product outlets), or over the
phone (telephone research based on the company clientele list), or through the
Internet (on-line questionnaires).
b. Ideas deriving from market research
Market research is another good source of ideas for new products. The
successful development of a new product requires very good knowledge of customers
and their needs and, more generally, of the market to which the new product is
addressed. Thus, all the more companies or enterprises develop new products based
on the orientation of the market. The orientation of the market can be defined as a set
of interlinked procedures and activities, aiming at the creation and fulfillment of
customer needs through constant assessment of those needs. In other words, the
enterprises that develop their products based on market-orientation, develop tools to
study the market and elaborate development strategies to constantly satisfy the needs
and desires of the customers – consumers.
Market-orientation studies on companies in Scandinavian countries and the
USA have shown that, despite a significant and intense government intervention and a
low level of competition, those enterprises barely use this mean. On the contrary,
Japanese enterprises depend all the more on the development of products through
market orientation studies. As to European and other Asian enterprises, studies have
shown that the market-orientation analysis process is very important especially for
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those enterprises that are based on rapid technological changes; it is equally important
within the framework of those markets characterized by stiff competition and doubt.
All the above-mentioned studies point to the fact that, the use of market-
orientation studies as a mean to guide the development of new products depends on
the cultural differences between the markets of the various countries on the globe.
c. Ideas deriving from competitors
Expos, shows and seminars of rival companies may be a very good source for
the creation of ideas, because through these events a company may become informed
on market innovations, on technological advances, as well as on possible
improvements on existing products – competitive or not.
Kotabe (1990) concluded that the product innovation level has a direct relation
to performance, i.e. the higher the product innovation level, the better performance.
However Davies (1988) investigated three new product development cases with seven
activities proposed by Booz, Allen and Hamilton, among which two are failed and
one succeeded. Both the two failed indicates that omitting the important developing
activities, product test, will lead to failure. While another succeeded case for new
product in a hotel is mainly due to implementation of product development activities
step by step.
Cooper (1984) investigated 58 innovative industrial products from 30 different
industrial companies. In the following seven new product developing activities, the
successful cases had complete implementation activities. The failed cases omitted
important activities, such as: creation filtration, market research and product prototype
tests using customers. Hise, O’Neal, McNel and Parasuraman, 1989, as cited in Kleef,
2006) concluded in their studies that a company that performs its operations without a
specific procedure or lacking a complete development schedule would decrease its
success rate for new product development and entry to market. If a non-dominant
company wants to bring a brand new product into a new market, that company must
adopt a complete procedure. If that company wants to bring an existing product into
another country, creation generation, conception evaluation and some other
procedures could be omitted.
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d. Ideas deriving from company employees or dealers
Company employees and dealers may prove valuable to the creation of ideas,
when that company is operating on a market through them. They are the ones who are
in constant contact with the public – customers or not – from whom they can draw
information regarding company products. The public may inform them on potentially
necessary improvements, complaints on existing products or the need for new
products. Furthermore, in cases where the market is differentiated due to its
geographical position, dealers and employees are the only ones who can offer such
sort of information to a company based far away from the market it is addressed to.
2. Idea Comparison and Assessment (Screening)
The second stage of the product development model is the evaluation of ideas.
In this stage, the ideas are assessed based on objectives, sales and profit and
customers and users.
a. Assessing ideas based on company objectives
The assessment of new product ideas based on the objectives of a specific
enterprise and its strategic course in any market may enhance its objectives, also
allowing it to select the optimum idea for the development of a new product in
accordance with the future course of the enterprise as set through its strategic
planning. This way, selecting the appropriate strategy may also function as a guide for
the assessment of various ideas and the adoption of the best one amongst them.
b. Assessing ideas based on sales and company profit
Each new product to be developed or each new idea to be made into a new
product should be capable of producing a minimum percentage of sales, and
consequently profit, for the enterprise.
c. Assessing ideas based on big customers and users
An important issue that many companies, big or small, tend to overlook is the
assessment of new ideas, which could develop into new products, deriving from big
customers and users. The most common phenomenon is the full development of a
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product ensuing from a good idea, without the slightest involvement of the end-users,
due to the large enthusiasm entailed in such a development. As a result, when the
product is introduced in the market it fails, jeopardizing not only the investments
made for its development, but also the future of the company.
3. Product Development
The third stage of product development model is to produce product through
research and development.
a. Research and Development
For the development of a new product, in most cases it is necessary to use
research and development departments within the company. The aim of these
departments is to perform research on new technological and non-technological
applications and to further develop them into products. The basic factors constituting
the proper organization and operation of such departments are finance, manpower,
management and so on.
b. Environmental Restrictions
The enactments of strict environmental regulations and consumer awareness
as to the protection of the environment have led many companies to the development
of new products bearing in mind the protection of the environment. However, such a
tactic bears consequences on the way these products are developed, since it concerns
their production, consumption and final disposal as refuse. Either way, each change
as to the way these new products are produced in order to be environmentally friendly
is very costly. The high cost of those changes gave birth to the new product
development tactic known as “Green design”.
This tactic consists of two strategies: the first one is trying to find ways to
reduce environmental pollution during the production and development of the new
product, and the second one is attempting to find ways of reducing pollution after the
use of the product, by optimizing recycling or re-use of part of the product or the
product as a whole.
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4. Prototype Manufacture
The fourth stage is the development of prototypes that is conducted by
advanced technology.
a. Prototyping
The rapid development of models or prototypes may largely reduce the
development cost and the product development cycle. In addition, they can be used in
test markets prior to the entry of the product in the final production and
commercialization stage.
b. Market Testing
Each new product should be subjected to a limited or extended market testing,
so as to record the reactions of the market and thus perform the final changes or
improvements on the product or even on the way it is developed prior to its full
introduction in the specific market.
5. Promotion of the Product
The final strategic plan for the development of a product before it enters the
market is probably the most important product development step, since it places the
emphasis on the details regarding the presentation, use, etc. of the new product in the
market.
In managing innovation, Tidd, Bessant and Pavitt (2005) presented the four
important routines for innovation as followed:
Successful innovation is strategy-based.
Successful innovation depends on effective internal and external linkages.
Successful innovation requires enabling mechanisms for making change
happen.
Successful innovation only happens within a supporting organizational
context.
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2.3 Drivers of Innovation
The origins of the determinant perspective to the study of innovation and other
phenomena within the social sciences could be traced to Francis Bacon’s pioneering
work on the scientific method (Bacon, 1902, as cited in Vyas & Renuka, 2013). The
conclusions of capacious investigation of innovation from a determinants perspective
can be better appreciated by dividing them in two parts, endogenous and exogenous
determinants, which can be then divided in two further sub-parts strategic and non-
strategic determinants.
Endogenous strategic determinants crystallised by previous research include
market-orientation (Kohli & Jaworski, 1990), learning process quality (Cohen &
Levinthal, 1990), technology policy (Ettlie & Bridges, 1984); use of cooperative
networks (Beaver & Prince, 2002) and managerial efficiency (Moore, 1995) whereas
endogenous non-strategic determinants include characteristics of entrepreneur
(Casson, 2003), innovativeness of people (Patterson, 2001), existence of innovative
teams (Anderson & West, 1998), financial adequacy (Beaver & Prince, 2002) and age
and size of enterprise (Acs & Audretsch, 1990; Schumpeter, 1934, as cited in
Croitoru, 2012).
Degree of industry concentration, barriers to entry, and intensity of
competition are industry specific exogenous determinants (Acs & Audretsch, 1990)
whereas, regional economic performance (Roper, 2000); industrial policy and
legislation (Antonelli & Calderini, 1999); networks (Breschi, 1999); level of
entrepreneurship (Acs & Audretsch, 1990), potential for spin-off (Oakey, Rothwell &
Cooper, 1988), society’s attitude towards innovation (Rothwell & Zegveld, 1982) and
headquarter branch ratio (Oakey, Rothwell & Cooper, 1988) are region specific
exogenous determinants. Moreover environmental factors, regulations and standards
have also become significant drivers of innovation in the food industry (Jongen and
Meulenberg 2005).
Yachmeneva (2014) also analyzed the factors affecting the level of
innovativeness of the enterprise and identified the relationship between innovation
and the characteristics of its activities by grouping as external and internal
environmental factors. Environmental factors are divided into macro and micro
factors. Macro environmental factors; includes the factors of indirect influence,
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Determinants of innovation • External factors • Internal factors
Obstacles to innovation
Innovation •Whether innovated or not •Type of innovation
included the legal political, social, technological, economic, sustainable and climatic
factors and micro environmental factors; as factors of direct influence, included the
suppliers, competitors, customers and contact audience.
Figure (2.2) Modeling Factors that Propel Innovation
Source: Radas & Bozˇic´ (2009)
In studying Croatia’s emerging transition economy, Radas & Bozˇic´ (2009)
explored factors that drive and hamper innovation. A number of studies were
conducted recently with the goal to discover which factors contribute to innovation
efforts (Keizer, Johannes and Halman, 2002). Following Keizer et al. (2002), the
factors that have effect on innovation can be divided into internal variables which
refer to characteristics and policies of the firms and external variables which refer to
opportunities that firms can seize from its environment.
Vyas (2009) considered market orientation, learning processes, technology
policy, cooperation and networks, managerial efficiency, age of enterprise, size of
enterprise, human resources, innovative people and financial resources as the internal
drivers of innovation. Radas (2009) studied innovation subsidies by municipality,
innovation subsidies by the government, collaboration with other firms or institutions
and market scope as external factors.
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Figure (2.3) Internal Determinants of Innovation
Source: Vyas (2009)
Various authors argued that innovation is a very important economic factor
which cannot be ignored. Unlikely developed economies Keizer et al. (2002), Radas
and Bozˇic (2009) found that innovation subsidies are not linked to innovativeness. A
very small number of firms received a subsidy suggests that the existing subsidy
schemes are not effective.
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Internal characteristics
Strategic Non-Strategic
Market Orientation
Age of Enterprise
Learning processes
Size of Enterprise
Technology Policy
Human Resources
Cooperation and networks
Innovative People
Managerial Efficiency
Financial Resources
Figure (2.4) External Determinants of Innovation
Source: Vyas (2009)
Chryssochoiclis (2003) stated that the following factors as businesses external
environment association with product innovation.
7. Increased uncertainty of the external environment
8. Increased heterogeneity of the external environment
9. Increased dynamism of the external environment
10. Technological elements of the external environment
11. Competitive dynamics and hostility
12. Type of industry
Moreover perceptions of the external environment can vary with CEO/top
management’s ability to scan and interpret the organization’s external environment.
The top management perception may act as a moderator in the link between the nature
of the external environment and decision-making regarding product innovation as a
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Industry Region
Concentration Headquarter branch ratio
Industrial policy
Competition
Entrepreneurship
Attitude towards innovation
Barriers to EntryPotential for
spin-off
Regional economic performance
Research Networks
External
Technological and organizationalresourcesTechnology and equipmentacquisitionExternal knowledge acquisitionProduction preparationCommercialization preparation
Information managementInternal sourcesMarket related sourcesOthers sources of information
Firm’s performanceEffects on product Effects on processesOther effects
Contingent factorsFirm’s sizeType of market
CooperationOther firms
R&D activitiesInternal R&DExternal R&D
Human resourcesR&D personnel
Financial resourcesR&D expenses
Innovation resultsProcessinnovationProduct innovation
response to environmental changes. CEO’s personality, cognitive and demographic
characteristics such as knowledge, mental models of success, open-mindedness,
tolerance of ambiguity, age, risk propensity, education and past experience can
support to transform and implement strategies for innovation.
Vieites and Calvo (2011) studied the role of several factors and firms’
resources that could have been an impact on the development of innovative activities.
In this study, contingent factors human resources, technological and organizational
resources, information management and financial resources were studied whether they
related innovation or not.
Figure (2.5) Various Elements Affected on Innovation
Source: Vieites & Calvo (2011)
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Gunduz, Ulusoy, Kilic and Alpkan (2013) presented several independent
principal component analyses, factor structures of innovations, firm performance,
organization culture, intellectual capital, manufacturing strategy, innovation barriers,
and monitoring strategies.
To be more effective Gunduz et al., (2013) studied the firm level
innovativeness at comprehensive view that implies here the total innovative
capabilities of the firm. With such a perspective, a long list of determinants of
innovativeness at the firm level, e.g., organizational culture, intellectual capital, firm
strategies, etc., are emerged. From this analysis reveals that among all possible
determinants considered, the highest impact on innovativeness is intellectual capital.
This determinant is followed by organizational milieu that consists of the
organizational structure and culture components.
Figure (2.6) Factor Structure of an Integrated Innovation Model
Source: Gunday et al., (2013)
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Innovation Determinants• Firm Strategieso Collaborationo Business Strategies
Market Strategies Technology Strategies Manufacturing Strategies• Cost Efficiency• Quality• Flexibility• On-line Delivery
• Sectoral Conditions and Relationso Market Dynamism & Intensityo Public Intensiveso Barriers to Innovation
In-Firm Out-Firm
Innovativeness-Product Innovation-Process Innovation-Marketing Innovation-Organizational Innovation
Performance
Financial Performance
• Innovative performance•Markert performance
In 2015, Ulusoy, Kılıç and Günday analysized all possible determinants
considered in the following frame work.
Figure (2.7) Determinants of Innovativeness Model
Source: Ulusoy (2015)
2.3.1 General Firm Characteristics
European Bank for Reconstruction and Development (EBRD, 2014) examined size and age of firms, scarcity of innovative start-up, type of ownership, competition, research and development, human capital and information and communication technology as the internal and external drivers of innovation. This report described that innovation may be more common among larger firms that have been operating for a longer period of time. The larger and older forms are indeed more likely to introduce new product.
Radas (2009) also considered the group of factors is related to firm characteristics like firm age, share of highly educated employees, and share of full- time equivalent employees engaged in intramural R&D as internal drivers. Hurley and Halt (1998), as cited in Vyas (2009) analyzed innovation activities considering that some structural and process characteristics (size, resources, age, planning,
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Innovation Determinants• General Firm Characteristicso Firm Size o Firm Age o Ownership Status
• Firm Structureo Intellectual Capital
Human Capital Social Capital Organizational Capital
o Organizational Structure
Communication Formalization Centralization
o Organizational Culture
Management Support Work Discretion Time Availability Reward System
Innovativeness- Product Innovation- Process Innovation- Marketing Innovation-Organizational Innovation
development and control of activities, information management, etc.) influence innovation capacity.
The theories of Joseph Schumpeter (1883-1950), as cited in Hosper (2005),
described that vertical innovations and creative destruction are the introduction by
capitalists of new and better quality consumer goods and means and methods of
production that render the previous ones out-of-date. According to Schumpeter,
business cycles are caused by innovations. Innovation can be distinguished between
what are later called breakthrough innovations and incremental innovations. This
wave of innovations leads to a period of economic expansion due to an increase in
investment and in the demand for the improved or differentiated goods. In Business
Cycles, Schumpeter suggested that economic fluctuations can be explained by the
conjunction of three cycles. These cycles are: Kitchin cycles, which last three to five
years, Juglar cycles, which last seven to eleven years, and finally Kondratieff cycles,
which last forty-five to sixty years.
Without frequent new products, companies can quickly lose competitiveness
and market share. Therefore the speed and frequency of new product development are
fundamental issues and consequently they have become a focus for management
attention. The time required to develop and introduce a new product referred to as
time-to-market or cycle time.
The large firm operating in a concentrated market is the main engine of
technological progress (Schumpeter, 1942, as cited in Vyas, 2009). According to
Schumpeter’s own work, innovation increases more than proportionately with firm
size because:
1. R&D projects typically involve large fixed costs, and these can only be
covered if sales are sufficiently large.
2. There are scale and scope economies in the production of innovations.
3. Large diversified firms are in a better position to exploit unforeseen
innovations.
4. Large firms can undertake many projects at any one time and hence spread the
risks of R&D.
5. Large firms have better access to external finance.
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2.3.2 Intellectual Capital
According to Edvinsson and Malone (1997), intellectual capital is a two-level
construct: human capital (the knowledge created by and stored in a firm’s employees),
and structural capital (the embodiment, empowerment, and supportive infrastructure
of human capital). Innovation can be seen as one of the managerial functions to be
performed to gain and maintain some competitive advantage. For this, the
entrepreneur and the key decision makers in the firm must possess a unique and
diverse set of managerial skills and capabilities. Freel (1999) believes that
management competency is one of the skills constraints affecting innovation.
Some analysts have advocated a people-centric approach to the analysis of
innovation. They claim that success in innovation is people dependant rather than
resource dependant (Rothwell, 1982) and it is the nature and quality of its work force
that determines whether a business is able to innovate or not. Freel (1999) has tried to
measure skill constraints faced by a small business and its impact on its ability to
innovate. Freel argues “… skill constraints to innovation within small firms are
generally of two principal types, management competency and skilled labor.
Dean and Kretschmer (2007) recognized that economic wealth comes from
knowledge assets -intellectual capital- and its useful application, replacing or perhaps
supplementing labor. The term “Intellectual Capital” is used as a synonym for
intangible or knowledge assets.
Moreover, employees competency needs in relation to innovative activity
appear to be greatest within strategy, business and market areas. In many firms the
lack of desire of management, the owner and founder of the firm for further growth is
an important barrier. While changed in corporate strategies raises probability of
radical innovation, implementation of new or significantly changed organizational
structures raises probability of me-too innovation. Changes in esthetic appearance and
product design leads to introduce product innovations (Radas and Bozˇic´ 2009). The
willingness to differentiate products, to increment processes efficiency and to enter in
new markets is the main reasons that have driven companies to innovate.
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2.3.3 Organizational Structure and Culture
Radas (2009) considered organizational structure as internal driver of
innovation. Moreover, Hurley and Halt analyzed cultural characteristics that affect
innovation receptiveness. The innovation capacity, its receptiveness and structural
process, and cultural characteristics determine firm’s competitive advantage.
On the basis of the proposal by Edvinsson and Malone (1997), intellectual
capital is a two-level construct: human capital (the knowledge created by and stored
in a firm’s employees), and structural capital (the embodiment, empowerment, and
supportive infrastructure of human capital).
A paucity of integrative devices reduces face-to-face collaboration and
consultation cross functional departments, exacerbating the coordinative problems
and conflicts that arise during the implementation of new products and processes
(Miller, Droge and Toulouse, 1988). In older mature less innovative organizations, the
influence of the controlling formal structure is so tight as to illegitimise the lateral
working and information flows that are necessary to support innovation (Stopford and
Baden-Fuller, 1994).
2.3.4 Firm Strategies
Radas (2009) considered the group of factors speaks about implementation of
changes in strategy, marketing, management and about market orientation as internal
drivers of innovation. Marketing and innovation can be viewed as two basic functions
of any economic activities. Customer needs and expectations evolve over time and
delivering consistently high quality products and services and responsiveness to
changing marketplace needs become important for the success of firms (Jaworski and
Kohli, 1990). Customers today are highly informed and more demanding than before.
Market orientation is variously described as integration of customers into
product innovation processes, ability to explore and reach potential markets, a fit
between market needs and firm’s resources, product planning from inception,
targeting the international market, the span of market experience, and the
understanding of customer needs and user circumstances (Heydebreck, 1997 and
Lindman, 2002, as cited in Vyas, 2009). Heydebreck (1996) showed that the
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integration of customers into product innovation processes leads to a higher degree of
success in achieving product development objectives.
Responsiveness to customer needs and changing market conditions become
important for the success of firms and calls for the introduction of new products and
services together with innovation capacity for a firm. Market-oriented innovations
apply to the products and services sold into the market. Inside-oriented innovations
apply to the inner workings of an enterprise and are aimed at improving productivity
and performance through establishment or change of best practices.
In the Journal of Global Business and Technology, Erdil (2013) found that
market orientation can lead to firm innovativeness and increase innovation
performance as consistent with the findings of Baker and Sinkula (1999), such that
market orientation can lead to successful new product development activity. Market
orientation as a driver of organizational market information processing activity should
be incorporated into conceptualizations of innovation process. Reacting to market
feedback may allow firms to adapt successfully in the external environment which
may be characterized both as dynamic and stable. Market orientation is a source of
new ideas and motivation to respond to the environment and promotes innovativeness
(Hurley and Hult, 1998, as cited in Vyas, 2009).
Responsiveness to changing market needs often calls for the introduction of
new products and services together with innovation capacity for a firm. Market
orientation has also been described as the implementation of marketing activities
designed to satisfy customer needs better than competitors are able to satisfy customer
needs (Martin and Grbac, 2003, as cited in Erdil, 2013). While there is some
variability in conceptualizations of market orientation, it typically focuses on three
components; 1) customer focus, 2) competitor focus and 3) inter-functional
coordination (Celuch, Kasouf and Peruvemba, 2002).
All conceptualizations have an operational focus on information gathering,
information dissemination and the ability to behaviorally respond to what is received
(Baker and Sinkula, 1999). Kohli and Jaworski (1990) define market orientation in
terms of three dimensions; 1) The generation of market information about needs of
customers and external environmental factors, 2) The dissemination of such
information among organizational functions and 3) The development and
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Collection and use of marketInformation
Development of market oriented strategy
Implementation of market oriented strategy
FirmInnovativeness
InnovationPerformance
implementation of strategies in response to the information. These elements include
continuous and systematic information gathering regarding customers and
competitors; cross-functional sharing of information and coordination of activities,
and responsiveness to changing market needs (Martin and Grbac, 2003, as cited in
Erdil, 2013).
There are the indicators to identify the level of market orientation. These
include integration of customers into product innovation processes, ability to explore
and reach potential markets, fit between market needs and firm’s resources, product
planning from inception, targeting the international market, span of market
experience, understanding of customer needs and user circumstances, competition
analysis, speed and flexibility, market research, market tests and deployment of user
feedback to modify an innovation. Moreover firms use innovation to differentiate
their products from competitors, twice as profitable (Pavitt, 1991).
Figure (2.8) Market Orientations and Firm Innovativeness, and Innovation Performance
Source: Erdil (2013)
Economists have long been interested in the relationship between competition
and innovation, but economic theory seems to be contradicted by the evidence.
Theories of industrial organization typically predict that innovation should decline
with competition while empirical work finds that it increases. The early empirical
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literature estimated the linear cross-sectional relationships and typically found a
negative relationship between competition and innovation, confirming the theoretical
prejudices of the era (Schumpeter, 1943, as cited in Aghion, Bloom, Blundell, Griffith
and Howitt, 2005).
In the study of Kohli and Jaworski (1990), the greater the market orientation
of an organization, the greater would be the overall performance and this relationship
was moderated by such several external forces like weaker economy, greater market
turbulence and competition. The environmental contexts of an organization probably
influence its level of market orientation. Organizations in more competitive and
dynamic environments may be expected to be more market oriented. As a result, the
linkage between market orientation and performance depends on the environmental
characteristics of an organization (Jaworski and Kohli, 1993). Jaworski and Kohli
(1993) proposed market turbulence (the rate of change in the composition of
customers and their preferences), competitive intensity and technological turbulence
as three environmental characteristics. Organizations that work with rapidly changing
technologies may be able to obtain a competitive advantage through technological
innovation together with the market orientation.
2.3.5 External Factors
There has been increasing interest in the role of use of market information for
strategic purposes. External factors such as competition, uncertainty and needs are
driving forces for strategic applications of market information (Choe, 2003).
Collection and use of market information enabled by information systems is broadly
considered to be a competitive weapon to cope with uncertain and volatile
environments. Companies can deal with uncertainty by increasing their information
processing capability and by creating inter-organizational links between customers
and suppliers. When customers tastes and rivals’ strategies are dynamic, there is need
to redesign or adapt the product. Firm innovativeness described by the development
and marketing of innovations is likely to involve market, technology and competitor
uncertainty. This means need for new information, technical changes and new
organizational arrangements.
It is essential that senior managers are committed to the concept of market
orientation and fully understand the role of market information and sound overall
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intelligence. Innovation by itself is defined as the generation, acceptance, and
implementation of new ideas, processes, products or services. The measurement of
consumer needs and purchase interest may be valid for screening continuous
innovations and market orientation induces businesses into being interested in short
term customer needs which can be detrimental to innovation and long-term success of
a company (Tse, Sin, Yau, Lee and Chow, 2003). Jaworski and Kohli (1996) suggest
that market orientation might be an antecedent to innovation and market-oriented
organizations tend to be more innovative.
One of the new external factors that impact innovation is market scope (Liu,
Luo and Shi, 2003). Firms that go international encounter stronger competitors and
therefore have to innovate in order to gain and keep their position. Additional push to
innovate comes from the fact that more competitive markets often offer higher
incentives for innovation (Sorescu, Rajest and Jaideep, 2003). For a small developing
country, the further from the head- quarters the company goes, the harder it becomes
to compete because among other things the firm has to solve increasingly complex
supply chain, logistic and marketing issues while contending with incumbent
companies.
In the supply chain context, integration is defined as the extent to which all
activities within an organization, and the activities of its suppliers, customers, and
other supply chain members, are integrated together. An integrated supply chain is
linked organizationally and coordinated with information flow, from raw materials to
the on-time delivery of finished products to customers. The entire supply chain is
linked by information about anticipated and actual demand.
Frohlich and Westbrook (2001) identify two interrelated forms of integration
that manufacturers regularly employ. The first type of integration involves integrating
the forward physical flow of delivery between suppliers, manufacturers and
customers. The second type of integration involves the backward integration of
information technologies and the flow of data from customers to suppliers.
Stevens (1989), as cited in Hosseini Baharanchi (2009) classified supply chain
integration into three levels, from functional integration to internal integration and to
external integration. However, this study focuses only on internal and external
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integration, because functional integration is claimed as a basic requirement for all
firms to implement and achieve.
A review of external supply chain integration literature reveals two major
areas of emphasis. They are: (i) Customer integration and (ii) Supply integration. For
supply integration, integration back down to the suppliers represents a change in
attitude away from conflict to cooperation, starting from product development, the
supply of high quality products, process and specification change information,
technology exchange and design support. Some researchers have investigated supply-
side integration in different dimensions. Handfield, Ragatz , Petersen and Monczka
(1999) defined supply integration as obtaining frequent deliveries in small lots, using
single or dual sources of supply, evaluating alternative sources on the basis of quality
and delivery instead of price, and establishing long-term contracts with suppliers.
In terms of customer integration, the firm will penetrate deep into the
customer organization to understand the product, culture, market and organization, so
that it can respond rapidly to the customer's needs and requirements. The important
concept of demand integration is based on the improvement of demand planning and
visibility in supply chains. Without information sharing from one end of the supply
chain to the other, tremendous inefficiencies can occur in customer service.
Modern supply chains consist of numerous organizations. In the context of the
confectionary industry, the supply chain starts with suppliers, who provide food
ingredients and raw to manufacturers, which manufactures confectionery goods and
sells them to customers.
Recently, the complexity of food supply chains has also been exacerbated by
the need of including multiple external sources of knowledge when searching for
successful new products and technologies. This process reflects the difficulties of a
food industry in single-handedly meeting the heterogeneous needs of customers, end-
users and legislations (Sarkar and Costa, 2008). Managing the end-customer’s
demand in the food industry requires a kind of product development that involves
developing, or adopting, innovative technological solutions and new business models
(Costa, Dekker, Beumer, Rombouts and Jongen , 2007).
As products and services continue to grow in complexity, much potentially
useful knowledge will necessarily reside outside of the firm (Bercovitz and Feldman,
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2007, as cited in Bigliardi et al., 2011). The establishment and management of
relationships with customers, competitors, suppliers, and public/private research
institutions, with the aim of acquiring additional knowledge and skills for innovation
processes, are increasingly seen as an important way for the food industry to augment
its innovation capability (Gatignon, Tushman, Smith and Anderson., 2002; Hauser,
Gerard and Griffin., 2006).
Role of suppliers and customers for innovation
According to Handfield et al., (1999), the integration of suppliers in
collaborative innovations (in particular, product innovation) can yield some
significant benefits, which include achieving reduced cost at product development,
decreased risk of failure and reduced time spent in product development. Liker,
Kamath, Wasti and Nagamachi (1996), as cited in Krishman and Ulrich (2001) also
demonstrated that the involvement of first-tier suppliers in co-design activities has
positive impacts on the performance achieved in new product development, in terms
of cost, quality and lead times. The partnership with suppliers may range from a
simple search for new technologies and innovations, up to a collaboration where
suppliers are fully responsible for the design of products required by the customer.
More precisely, there are four main ways suppliers can be involved in collaborative
product innovations (Lamming, 1993, as cited in Chen and Paulraj, 2004):
i. the supplier provides proprietary parts to a company. Often, proprietary parts
are standard components and are designed and developed only by the supplier;
ii. the supplier provides components whose functional and performance
requirements are specified by the customer, but whose engineering is handled
by the supplier;
iii. the supplier provides parts whose characteristics are controlled and defined by
the customer to a greater extent; or
iv. the supplier provides parts whose characteristics are controlled and defined
entirely by the customer.
Collaboration involves active participation in joint innovation projects with
other organizations but excludes pure contracting out of innovation-related work. It
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can involve the joint implementation of innovations with customers and suppliers, as
well as partnerships with other firms or organizations. For the Eurostat countries,
Brazil, Israel, Japan and Korea, product or process innovative firms engage
collaboration on innovation.
In Australia, Chile and Colombia, collaboration on innovation include product,
process, marketing or organizational innovative firms (including ongoing or
abandoned innovation activities). However, marketing and organizational innovators
are less likely to be involved in collaboration.
In addition, the state economy influences on businesses. After political and
economic reforms, the government is proactively looking to Foreign Direct
Investment (FDI). With this investment comes an increasingly more affluent
population, who are looking for higher quality food and more food choices. This
presents a huge opportunity for food producers. Growing foreign investment in
Myanmar provides a good opportunity for local manufacturers to acquire
technological expertise from international companies who have been exporting high
quality products for decades. Value addition in Myanmar’s food industry is currently
relatively low with the vast majority of the industry focusing on more traditional
manufacturing methods and products. Knowledge transfer from international
companies will allow us to produce higher value products, driving the overall value of
the local food industry. For instance, Bayin biscuit invites expertise from international
to train its bakers.
2.4 Types of Innovation
Innovation is to be considered in enterprise as a crucial element to increase
profit and market share. Innovation is no longer restricted to the process of creating
something new from beginning to end but can include the capacity to quickly adopt
externally created innovations that may be of benefit to the organization. Innovation
can be considered as a necessary ingredient for firms to remain competitive (Darroch
and McNaughton, 2002; Stock, Greis, and Fisher, 2002). To be successful, the main
task of a firm is to determine the perceptions, needs and wants of the market in order
to create products with a superior value. Mosey, Clare and Woodcock (2002)
suggested that companies with aggressive growth ambitions that repeatedly
introduced innovative new products thus opening up new market niches were also
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those that performed better. The innovativeness of a new product and firm innovation
capability is important for several reasons. Innovation products present opportunities
for firms in terms of growth and expansion into new areas as well as allow firms to
gain competitive advantage.
Many classifications of innovation types were proposed over the years. Knight
(1967), as cited in Berglund (2004) proposed the following types of innovation:
organizational structure, production process, people, and product/service. Innovation
type categorizations are based on the outcome of the innovation process. According to
several Authors, there are very different types of innovations (e.g., product
innovation, process innovation, or market innovation), and these types of innovation
can be classified by type, degree, impact, competence, and ownership (Narvekar and
Jain, 2001, 2006). These three types of innovation (product, process and marketing)
can vary from incremental to radical and from sustaining to discontinuous. Product
innovation is essential for a country’s economic growth and for the competitive
position of industry. Companies operate in a rapidly changing world in which
customers’ needs and wants are not fixed and where they face increasing competition
due to open markets and globalization. Companies that effectively integrate
innovation in the product development process can gain significant competitive
advantage.
Product innovation deals with the production of new products and services to
create new markets or to satisfy current customers. Knight (1967) and Utterback
(1971) as cited in Godin (2015) described that process innovation is reflected in the
improvements or introduction of new production technology.
According to Utterback and Abernathy (1975), product innovation is to do
more with the outputs that are introduced for the benefits of customers. Process
innovations are defined as new tools, devices, procedures as well as knowledge in
throughput technology that mediate between inputs and output.
Binary models proposed in the 1970s and 1980s discussed, variously,
administrative, technical, incremental, radical, product, and process, as types of
innovation. Radical innovation represents a completely new product or process and
incremental innovation a significant improvement in an existing product or process.
Frenz and Oughton (2005) stated that radical innovations have the power to result in
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significant and rapid transformation of production whereas the effects of incremental
innovation are felt more slowly, though their cumulative impact may be just as
significant. Dewar and Dutton (1986) and Ettlie et al., (1984) also described that
radical innovation brings about a non-routine change to the very core on how
activities are carried out while incremental innovation is usually part of routine
changes that do not deviate much from present organizational activities.
More recently, a number of integrative models have been proposed all of
which identify a number of different types of innovation. For example, Oke, Burke
and Myers (2007) discussed the following types of innovation:
product (including radical and incremental);
service and
process (including administrative, service and production).
Most definitions of innovation emphasize ‘newness’ and ‘successfulness’.
There are distinctions made between product versus process innovation and
sometimes amongst market, business and management innovation. Product innovation
is the introduction of new products that have characteristics and/or use applications
that differ from existing products on the market. Product innovation is often made by
technology driven companies and helps companies in their competitive positioning
while retaining market presence, not only in radically changed products but also in
differentiating the offerings (Craig and Hart, 1992).
Process innovation is the introduction of a new method of production, that has
not previously been used and/or a new way of handling a commodity commercially to
make production more efficient or to be able to produce new or improved products.
Process innovation embraces reengineering the business process (Cumming, 1998)
and therefore implies the improvement of the internal operations and capacities. The
importance of process innovation is quite well understood, especially in companies
under threat since it may help to improve the company productivity.
Finally, market innovation is concerned with the mix of markets of the
company and how chosen markets are best served while accurately interpreting
buying preferences (Johne, 1999). This directly influences the sales as well as the
company results. Marketing innovation involves entering new markets, new ways of
serving customers, and/or market expansion. Marketing innovation is the offering new
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idea generation and implementing with the marketing activities of creating,
communicating, delivering value and managing relationships.
There are three types of product innovation: line extensions, ‘‘me-too’’
products, and radical product innovation. The first two types of innovations are
usually referred to as incremental innovations. Line extension refers to minor
modification of an existing product, while ‘‘me-too’’ products are imitations of
competitors’ products that already exist on the market. Both incremental and radical
innovations have an important role. Managers design incremental innovations to
satisfy a perceived market need with products that can be developed in a relatively
short period of time (Ali, 1994, as cited in Radas and Bozˇic´, 2009). The
introduction of incremental innovation is critical for the long time survival of firms
(Banbury and Mitchell, 1995, as cited in Shankar, 2008).
According to Gunday, Ulusoy, Kilic and Alpkan (2011), product innovation is
broadly seen as an essential component of competitiveness, embedded in the
organizational structure, processes, products, operations, and services within a firm.
Product innovation is one of the fundamental instruments of growth strategies to enter
new markets, to increase the existing market share and to provide the company with a
competitive edge.
Product development can be defined as “the process that transforms technical
ideas or market needs and opportunities into a new product and on to the market”. It
includes strategy, organization, concept generation, product and marketing plan
creation and evaluation, and the commercialization of a new product. The product
development process is a disciplined and defined set of tasks, steps, and phases that
describe how a company repetitively converts ideas into salable products and/or
services. The product development process itself can be split up into three phases:
policy formulation, idea finding and strict development.
In the report of Isaksen and Smith (1997) there was presented the strengths and
weaknesses of small firms in innovation. This report identified the range of SME-
related issues in the Norwegian Industrial and innovation system. Food sector firms are
more focused on incremental innovation as opposed to radical innovation, and they are
also more engaged in product and process innovations than in packaging, position and
paradigm innovations (Baregheh, Rowley, Sambrook and Davies, 2012). The
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innovation imperative is very strong for firms in this sector, and plays a key role in
sustaining and enhancing their competitiveness (Capitanio, Coppola and Pascucci,
2010; Grunert and Ottowitz, 1997; Rama, 2008 and Von Tunzelmann and Acha, 2005).
2.5 Innovation and Business Performance
Numerous models have been proposed to study the relationships between
innovation behavior and firms’ performance. In Spain, Camisón (1999) maintains that
firms’ competitive advantage is based on resources and capacities that are difficult to
imitate by other firms. In this model, organizational characteristics influence
innovation behavior and this affects firms’ performance.
Business performance measures can be divided into three different categories
(Hayes, Wheelwright and Clark, 1988, as cited in Reichstein, 2000):
Process Management Measures
Business Management Measures
External Reporting Measures
Process Management Measures concerns the conditions such as how long it will
take to produce and deliver a specific goods or services, measures of materials used in
the production process and amount of production factors used. Business Management
Measures like which products firms must be developing, what prices firms should be
claiming for its product and whether or not a specific product should be dropped from
the specific firm’s product line. External Reporting Measures is the performance of the
firm relatively to other firms in the market. Profits, values of production, revenues and
firm size are examples of external reporting measures. This study focused on the last
measures that reflect the effect of innovation on business performance.
There is no doubt that the employees are the main force for the organizations
and their innovative behaviors are vital for innovation performance of an
organization. The factors influencing the employee innovative behavior including
organizational commitment, psychological capital on the individual level, and
organizational innovation atmosphere, leadership, social capital, work characteristics
on the organizational level.
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Firms’ PerformanceInnovation behaviorCharacteristics of the organization
Figure (2.9) Organizational Characteristics, Innovation Behavior and Firms’
Performance
Source: Camisón (1999)
Innovative behavior is an act of generating, promoting and application of
innovative thinking in the organization for the purpose of personal and organizational
performance, which enables employees to use innovative ways of thinking, quickly
and accurately respond to customer demand changes (Robert, 2001, as cited in Erdil,
2013; Woodman, Sawyer and Griffin, 1993; Scott and Bruce, 1994). Kleysen and
Street (2001) divided individual innovative behavior into five stages, including
looking for opportunities, generating ideas, research supporting, and applications. For
that, Huang (2004), Lu Xiaojun (2007) and others have tested it with the actual
situation, and the employee’s innovative behavior is defined as: In the work process,
employees generate innovative ideas or solutions to problems, and efforts will be paid
to the practice. The motivation of employee’s innovative behavior can be divided into
internal and external factors. Internal factors refer to innovative personal traits and
ability to participate in innovation, and external factors including the open team
environment, the support of leaders. Under the mutual working of internal and
external factors, the innovative efficacy and creative willingness of employees have
been improved. (Yang, Yang and Zhao, 2011).
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Economic Performance
Cooperation with institution
Enterprising Courage
Firm Size
Executives’ Age
New Product and Service
Innovation Behavior
Firm Age
Figure (2.10) Innovation and Related Factors
Source: Hernández & de la calle (2006).
Following Camisón’s proposal, Hernández & de la Calle (2006), as cited in
Vieites and Calvo (2011) established a more detailed design of the relationships. The
factors related to innovation are described in Figure (2.10).
In evolutionary theories of economic change, Nelson and Winter (1982)
speculated that the processes of technological innovation and imitation are major
drivers of the relative performance of firms and the evolution of industrial structure.
Corsino and Gabriele (2010) argued that the estimated relationship between
innovation and corporate growth rate will depend on the degree of novelty of the new
devices in dealing only with product innovations.
Ibidunni, Lyiol and Ibidunni (2014) concluded that there is need for SMEs to
carry out research on product innovation; in order to meet and fulfill the demand and
expectations of all consumers and the market in product innovation.
Today it is commonly accepted that without innovative activities the
development in individual companies and the whole of the society will stop.
Therefore it is important how the development of innovation is managed and how the
work is done in the most efficient way. Moreover it is needed to find out which
factors influence innovation and new product development so that the development of
innovation can be managed well. Godin (2002) believes that innovation is considered
170
a nebulous concept due to perceive conducting R&D as well as acquiring advanced
technologies and employing highly skilled workforce both are as being innovative.
Research, over the last 50 years, has consistently linked innovation with
business success. Innovation is shown as a major contributing factor in the growth of
firms (Mansfield, 1968:1971, as cited in Vyas, 2009); new products and processes, the
fastest growing product groups or ‘clusters' (Freeman, 1974); rise and dominance of
large corporations ascribed to the use of new technology (Temin, 1979, as cited in
Vyas, 2009); better business performance related to the higher measures of innovation
(Cavanagh and Clifford, 1983, as cited in Vyas, 2013); levels of competitiveness
linked with the levels of innovativeness (Dosi, 1988); firms using innovation to
differentiate their products from competitors, twice as profitable (Pavitt, 1991);
innovation a key element of business success (Nonaka and Takeuchi, 1995); high
growth companies getting a higher percentage of sales from new products relative to
competitors, (O’Gorman, 1997); new product development leading to greater sales
volume and enhanced profitability (Kotler, 1999, as cited in Vyas, 2009); innovating
firms having lower probability of stagnant or declining employment in comparison to
non-innovating firms (Frenz, Michie and Oughton, 2003) and innovative businesses
growing more than non-innovative businesses (European Commission, 2004).
Therefore firms need to launch additional products and increase the range of
goods and services in order to maintain their viability (Baden-Fuller and Stopford,
1994). Consumer consciousness over diet and health, food safety and nutrition also
drives companies to improve the range and quality of goods (Traill and Grunert
2002).
Van Duren et al. (2003) also found that innovation was rated as a top factor
for success in the food processing industry by some successful food processors in
Canada. Traill and Meulenberg (2002) found that except for very small and very large
companies, there is no relationship between company size and innovation.
2.6 Conceptual Framework of the Study
In this section, the possible factors that may affect on innovation of the
confectionery businesses will be identified for this research. This study grouped the
drivers of innovation into two categories: internals and externals. The internal factors
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include general firm characteristics (firm age, size, and ownership status), firm
structure (intellectual capital, organization structure and organization culture), and
firm strategies (manufacturing and marketing). On the other hand, external factors are
customer needs and wants, intensity of competition and technological opportunity.
The study examined the impact of firm size, firm age and ownership status on
the types of innovation implemented by the confectionery businesses. The innovative
personality of management and information sharing between skillful labors is defined
as intellectual capital and then analyzed that intellectual capital is an important driver
of innovation for businesses. Centralized decision making and formalized procedures
is defined as organization structure and then analyzed that organization structure is an
important driver of innovation for businesses. Rewarding for innovative ideas and
management support is defined as organization culture and then analyzed that
organization culture actually drives the firm’s innovation. Market orientation is
defined as market strategy and then analyzed that market strategy actually drives the
firm’s innovation. Cost reduction and quality is defined as manufacturing strategy and
then manufacturing strategy analyzed that actually drives the firm’s innovation.
Feedback to customer needs and wants, intensity of competition and technological
opportunity are analyzed as external drivers.
According to the innovation definitions, this study discussed three types of
innovation: product innovation, process innovation and marketing innovation. Product
innovations include the introduction of new products and services to the market and
also major improvements of existing goods and services. Process innovation includes
major changes in production methods and equipment. Marketing innovation aims to
respond better to the customers’ need.
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Firm StructureIntellectual CapitalOrganization StructureOrganization Culture Innovation
Product innovationProcess innovationMarketing innovation
Firm performanceNumber of employeeProduction volumeSale volume Profit
General Firm CharacteristicsFirm Size Firm Age Ownership Status
Firm StrategyMarket StrategyManufacturing Strategy
External FactorsCustomer needs and wants(Customer orientation)Intensity of competitionTechnological opportunity
Figure (2.11) Conceptual Framework of the Study
Drivers of innovation
Source: Own Compilation (October, 2016)
Figure (2.11) depicts conceptual framework of the study which included the
drivers affecting on the innovation, types of innovation and performance of the
confectionery businesses. In the study, the first step is to identify the drivers of
innovation in confectionery businesses. After that the types of innovation that
influence on firm performance are examined and the effects of innovation on firm
performance are evaluated.
2.7 Working Definitions for the Study
Based on the previous literature, firm characteristics (firm age, size, and
ownership status), firm structure (intellectual capital, organization structure and
organization culture), and firm strategies (manufacturing and marketing) are used as
the internal factors. Therefore these factors are defined as follows for this study.
The innovative personality of management and information sharing between
skillful labors is defined as intellectual capital in the study.
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Centralized decision making and formalized procedures is defined as
organization structure.
Rewarding for innovative ideas and management support is defined as
organization culture.
Market orientation is defined as market strategy.
Cost reduction and quality is defined as manufacturing strategy.
On the other hand, customer needs and wants, intensity of competition and
technological opportunity are used as external factors in the study.
The term innovation of confectionary businesses is defined as the any
newness in product, production process and marketing activities.
As the product innovation, the study considered developing new products with
new material and technology. Based on the literature review, this study defined that
product innovation consists of ingredients, convenience of consumers, and customer
satisfaction.
As a result, changing process of existing products and extension of producing
new products need to be carried out for product innovation. In the process innovation,
technology and new machines need to be changed. As a result, product quality and
productivity increased gradually. The process innovation included changing the use of
manpower and machines from kneading to packing over time to time.
Marketing innovation includes changing product promotion techniques,
distribution channels and product appearance, packaging, shape and volume necessary
in order to adapt with the market needs.
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CHAPTER 3
RESEARCH METHODOLOGY
This chapter presents the research method as well as the scope of the study,
research method and sampling, data collection method and data analysis. The chapter
is structured as follows: section one introduces the research area, section two presents
sampling design and sample size determination, section three describe research
method, section four disclose the profile of respondents and businesses and finally
discusses data collection and cleansing.
3.1 Research Area
In Myanmar, food and beverage industry is the largest sector in number of
business and employee. Among the number of registered firms 43784 in Myanmar,
28134(64%) are food and beverage firms. Private own food production enterprises
registered with the Ministry of Industry amounted to 27290 (Ministry of Industry,
2015). Myanmar food industry is producing for local market only (MIA, 2009).
According to the Table (3.1), in the distribution of firms in confectionary
industry, the number of firms in Yangon region is the largest with 177 but Mandalay
region also has the second largest number of confectionary firms with 162 (Ministry
of Industry (1), 31-7-2012). In Mandalay, not only Bakery Business, the traditional
confectionary firms such as Myint Myint Khin, Maw Maw San but also Teashop and
Cafe prospered in this region. Previously, teashops and cafes only sold Marigold,
Indian Pancake, but later they added cakes, La Mont and bean bread to their range of
food list. Teashop in Mandalay has become not only an eating place but also a
meeting centre for discussing social and business matters. In this way, teashops
innovated their food products to meet the demand and preference of consumers.
Most of the people have invested in food and beverage industry (CEO
Magazine, 2017). At the same time, food security for the people and innovation in
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product, process and marketing of food stuff are very important factors for the
businesses. In Mandalay, confectionary businesses are quite innovative in running
their businesses. However, there is no assurance that all of the businesses will know
about the factors influencing the innovation and the business performance. Therefore,
the aim of the research is to explore which factors are driving the innovation and
performance of the confectionary businesses.
Table (3.1) Distributions of Firms in Confectionery Industry
No State/Region Total
1 Kachin 18
2 Kayah 10
3 Kayin 15
4 Chin -
5 Mon 77
6 Rakhine 8
7 Shan 58
8 Yangon 177
9 Mandalay 162
10 Sagaing 22
11 Mgway 14
12 Bago 39
13 Ayeyawady 89
14 Taninthayee 34
Total 723 Source: Ministry of Industry (1), 31-7-2012
In the past, confectionery firms were not as developed in Mandalay as present.
The confectionary firms used to produce traditional snacks such as Htoe Mont, La
Mont, bakery firms produced cake, cookies and bread and café and teashop with
catering service.
Traditional snacks firms were located in Zay Cho Thit Thee Tan.
Confectionery firms were located as Mont Sone Tan in Mandalay Zaychodaw
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(Zaycho market). Bakery businesses first started in Myanmar during the British
Colonial period. It was learnt that biscuit factories were established in Mandalay over
the period 1948 to 1987 (Phatcharanuruk, 2015). Some bakers’ confectioneries
existed at their own places such as Lakabar and Pawe Tai cake. Some of these firms
are still achieving some measure of success. On the other hand there are still other
firms that are not able to engage in innovative activities due to lack of enough capital
and poor customer adaptation to changes in brand, packing design and taste. In the
market economy, customers are becoming very knowledgeable and most consumers
are becoming much more health conscious.
The first tea shops in Mandalay were opened in 1942. It was opened to serve
breakfast and tea. In addition, they were a place to relax and had a social and
economic function. Tea shops were places providing food and drink, not only serve
biological needs, but also provide information to be shared and connections made, in
support of people economic and social lives. In this technology age, internet cafés
emerged as tea shops in the past. Recently, some of the tea shops serve traditionally
tea and baked. However, some serve coffee, cold drinks and fresh baked.
At present, most of the confectionery firms enable the new product
development and then not only their new production method but also new marketing
and management style are practiced. As mentioned in theories, some businesses
accept and implement the concept of innovation. Some business, however, do not
have enough fund to implement their ideas. So they just follow the market demand.
They cannot innovate as much as their desires. These firms can survive because of
their royal customer but they cannot develop among their competitors. Therefore, the
argument emerged that the factors beyond capital will influence the business
innovation.
The characteristic of modern economy is increased competition. As the role of
innovation and innovative activity in development of enterprise is growing, the
broader study of the impact of factors on innovation and innovative activity is
required more. Although Table (3.1) indicates the number of registered confectionary
firms in seven townships of Mandalay Municipal Area based on the classification of
number of employees, this study classified the firms by their product types.
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The businesses were distinguished by types of product such as traditional
confectionary firms and bakery firms. Traditional firms produced Htoe Mont, La
Mont and Nanwin Makin as the basic product items. And the other products were
created based on the owner’s idea, the customer demand and the product of
competitors. Bakery firms developed new products and tested them in the market
when the sales of some products are slow. Some of the tea shops have the special
items e.g. Chinese dumpling for Manmyodaw and Bean Cake for Minn Thiha. These
firms are trying to produce other items to fulfill their customers’ needs. Therefore
these teashops are considered as bakery businesses due to their bakery services.
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Table (3.2) Number of Registered Confectionary Firms by Townships in Mandalay Municipal Area
Size
Township
2014-2015 2015-2016 2016-2017
Large Medium Small Total Large Medium Small Total Large Medium Small Total
Aung Myay Thar Zan 10 14 4 28 10 13 4 27 11 11 4 26
Amarapura 2 2 3 7 2 2 2 6 3 2 2 7
Chan Aye Thar Zan 4 9 9 22 4 8 9 21 5 7 6 18
Chan Mya Tharzi 3 5 4 12 3 5 4 12 5 6 2 13
Maha Aung Myay 2 9 4 15 2 8 4 14 2 8 3 13
Patheingyi - 2 1 3 - 3 1 4 1 3 1 5
Pyay Gyi Dagon 22 8 1 31 21 9 1 31 25 9 - 34
Total 118 115 116 Source: Ministry of Industry, Directorate of Industrial Supervision and Inspection, 2017
179
Table (3.2) describes the number of registered confectionary firms by townships
in Mandalay municipal area during the year 2014 to 2017. In 2015-2016, the total
number of confectionary firms was decreased from 118 to 115 because some of the
registered firms were expired and they did not re- registered regularly. For this study, the
number of registered confectionary firms (2016-2017) was considered as population in
order to update.
3.2 Sampling
According to the list of Industry Supervision and Inspection Department, 2016,
there are 116 confectionary firms in Mandalay confectionery industry. In order to get
more accuracy, 70 % of population firms were collected as sample. The larger the
sample size, the more sure the result reflect the population.
The selected 89 firms were surveyed by simple random sampling. Before using
the questionnaires, the innovative firms were selected by asking the firms whether new
product, process and marketing were introduced or not. Only innovative firms were
analyzed to explore the major drivers of innovation. The study emphasized all size of
confectionary firms so that the result may be reasonable to conclude the effect of firm
size on innovation.
Table (3.3) Distribution of Confectionary Businesses by Type
Description No. of Business
Percent
Traditional 10 11.24
Bakery 79 88.76
Total 89 100Source: Survey Data (2017)
According to Table (3.3), the bakery businesses are distributed with 88.76 % and
the traditional confectionery businesses are 11.24%. Data was collected over a 6 month
period in two types, namely traditional firms 11.24% and bakery firms 88.76% within
the total sample. Then, the questionnaire was applied through face-to-face interviews. A
questionnaire consisting of 108 individual questions was developed to be filled in by the
owners or managers of the firms.
Table (3.4) Number of Firms in Different Types of Product by Township180
Types of firm
TownshipTraditional Bakery Total
Aung Myay Thar Zan 2 15 17
Amarapura - 8 8
Chan Aye Thar Zan 5 11 16
Chan Mya Tharzi 1 10 11
Maha Aung Myay 1 12 13
Patheingyi - 3 3
Pyi Gyi Dagon 1 20 21
Total 10 79 89Source: Survey data, 2017
Table (3.4) shows the number of firms distributed in different types of product
by township. It is found that the number of bakery businesses is the largest in Pyi Gyi
Dagon Township as Mandalay industrial zone is located in this township. As for the
traditional businesses, Chan Aye Thar Zan Township has the largest number of firms
since Zaycho market is situated in this township.
3.3 Profile of the Respondents and Businesses
The general information includes gender, age, education and position of the
respondents. Of 62 respondents, 69.66 percent was male and 30.34 percent was female.
According to Myanmar culture, most of the businesses were lead by man in the past.
However, today the women have the equal opportunity to manage the business. In terms
of age, the age under 31 years represented 4.49 percent, 31-50 years was 62.92 percent
of all respondents, 51-70 years was 30.34 percent and the rest percentage, 2.25, was
71years and above. The majority of the respondent’s (more than 62 percent) were the
age between 31 and 50 years. Regarding education levels, 65 respondents (73.03
percent) were graduated, 22 respondents (24.72 percent) held a high school level
qualification and the rest was post graduated level. Among them, 62.92 percent of
respondents were the owners of businesses and the rest were the managers of businesses.
181
Table (3.5) Profile of the Respondents
Factors Category Respondents Percent
GenderMale
Female
62
27
69.66
30.34
Total 89 100.00
Age
Under 31
31-50
51-70
71 and above
4
56
27
2
4.49
62.92
30.34
2.25
Total 89 100.00
Education
High School
Graduated
Master
22
65
2
24.72
73.03
2.25
Total 89 100.00
PositionOwner
Manager
56
33
62.92
37.08
Total 89 100.00Source: Survey Data (2017)
The general information of the respondents (owners or managers) was collected
and recorded in Table (3.5).
In the profile of business, number of labor is categorized by the definition of
SMEs by the Private Industrial Enterprise Law 1990 (Ministry of Industry (2), 2010).
According to Table (3.6), 47 firms from the selected businesses (52.81 percent) operated
with 1-49 employees and the firms about 17.98 percent worked with the number of
employees above 100.
Table (3.6) Profile of Businesses
Descriptions Category Respondents
Percent
Number of employees 1-49 47 52.81182
50-100
Above100
26
16
29.21
17.98
Total 89 100
Firm Age
3-12 year
13-22 year
23 -32year
33-42 year
43-52 year
53and above
25
36
8
6
6
8
28.09
40.45
8.99
6.74
6.74
8.99
Total 89 100
Ownership Status
Sole-proprietorship
Partnership
Company
88
0
1
98.88
0
1.12
Total 89 100
Start upScratch
Inherited
64
25
71.91
28.09
Total 89 100
MAFPEA memberYes
No
48
41
53.93
46.07
Total 89 100Source: Survey Data (2017)
In terms of the firm age, most of the firms (40.45 percent) were established from
13 to 22 years ago. As the majority of firms, the ownership status was the sole
proprietorship (98.88 percent). About 71.91 percent of the firms are the scratch. It can be
said that some of the businesses are inherited but most tried to establish a new business
by learning, imitating and creating from the previous business. 53.93 percent of the
firms were MAFPEA (Myanmar Agro-based Food Processor and Exporter Association
was formed in 2006 to support the food processing industry) member.
3.4 Data Collection
The items to measure the selected variables were based on previous studies that were
considered to be important in explaining the direct and indirect effects of driving factors on
183
innovations. Pilot testing is important to check the content validity of the instrument, and
to improve the questions, format, and the scales. Therefore, the pilot test was carried out
with the convenience sample of 44 confectionary firms to validate the instrument.
Firstly, factor analysis is used merely for reliability and validity test of variables
and multiple regression analysis is used to discover important innovation determinants
and to understand how innovations are produced at the firm level and revealing the main
factors that shape an innovative atmosphere in confectionary firms. The reliability
intended to measure the extent to which a variable or set of variables is consistent.
Cronbach’s alpha is measure of reliability that ranges from 0 to 1, with values of .60
to .70 deemed the lower limit of acceptable. Therefore reliability refers to test
consistency. Validity is concerned with how well the concept is defined by the
measures. KMO and Bartlett test of sphericity tested for the overall significance of all
correlations within a correlation matrix. The measure can be interpreted with .80 or
above, meritorious; .70 or above, middling; .60 or above, mediocre; .50 or above,
miserable; and below .50, unacceptable (Hair, Anderson, Tatham and Black 1995).
After that, descriptive analysis is used to investigate the types of innovation
undertaken by confectionery businesses. According to Best (1977), the mean values of
five-point Likert scale items were interpreted as follows:
The score among 1.00 – 1.80 means strongly disagree.
The score among 1.81 – 2.60 means disagree.
The score among 2.61 – 3.40 means neither agree nor disagree.
The score among 3.41 – 4.20 means agree.
The score among 4.21 – 5.00 means strongly agree.
Finally, multiple regression method is used to analyze the relationship between
drivers of innovation, the types of innovation and the business performance.
3.5 Assumption for Multiple Regression Analysis of the Study
The assumptions underlying multiple regressions analysis to be examined re as
follows:
184
5. Linearity of the phenomenon measured. The linearity of the relationship between
dependent and independent variables represents the degree to which the change
in the dependent variable is associated with the independent variable. The
concept of correlation is based on a linear relationship. As multiple regression
analysis is based on the concept of correlation, the linearity of the relationship
between dependent and independent variables is crucial. Linearity is easily
examined through residual plots.
6. Homoscedasticity is the assumption of equal variances between pairs of
variables. By using SPSS software, it can be measured Homogeneity test which
measures the equality of variances for a single pair of variables.
7. Independence of the error terms assumed that the predicted value is not related to
any other prediction that is each predicted value is independent. If the residuals
are independent, the pattern should appear random. Serial correlation can be
measured by Durbin-Watson value.
8. Normality of the error distribution assumed that errors of prediction are normally
distributed. By using normal histogram can be diagnosed the set of independent
variables (Hair, Anderson, Tatham and Black 1995).
185
CHAPTER 4
ANALYSIS ON INNOVATION OF CONFECTIONERY
BUSINESSES
This chapter presents the analysis of the innovation of confectionery businesses
in Mandalay based on the results of data collected from 89 owners or managers. The
statistical analyses used in this study include description of the survey participants,
demographic characteristics, reliability and validity test. Moreover, regression analyses
are performed to find out which factors are the most influencing factors on innovation
and performance of confectionery businesses.
4.1 Testing of Reliability and Validity of the Driving Variables
Descriptive statistics is used in this study not only to express the demographic
factors (age, gender, educational levels, etc.) but also to describe the mean values and
standard deviation of the observed variables. According to the mean values of the items,
the respondents generally agree the drivers of innovation (mean values more than 3:
agree). In this study, three variables for general firm characteristics, three variables for
firm structure, two variables for firm strategy and three variables for external factors
have been measured. Each variable includes different number of items and is measured
on five-point Likert scale.
The first stage of testing of reliability started with Cronbach’s alpha value. It is
one of the major methods of determining the reliability of a test. Therefore Cronbach’s
alpha is used to test the reliability of all variables.
The Bartlett's Test can be used to test the adequacy of the correlation matrix. If
the test value is large and the significance level is small (<0.001), the variables are
independent. The KMO represents the ratio of the squared correlation between variables
to the squared partial correlation between variables. When the KMO is near 0, it is
difficult to extract a factor, since the amount of variance just two variables share (partial
correlation) is relatively large in comparison with the amount of variance two variables
share with other variables. When the KMO is near 1, a factor or factors can probably be
extracted, since the opposite pattern is visible. Therefore, KMO “values between 0.5 and
186
0.7 are mediocre, values between 0.7 and 0.8 are good, values between 0.8 and 0.9 are
great and values above 0.9 are superb.
Table (4.1) Descriptive Statistics and Reliability of the Driving Variables
Sr. No. Factors Items Mean Standard
DeviationCronbach's
Alpha
1 Intellectual Capital 10 3.77 .666 .895
2 Organization Structure 7 4.11 .581 .877
3 Organization Culture 9 4.06 .628 .927
4 Market Strategy 6 4.28 .517 .868
5 Manufacturing Strategy 9 3.69 .663 .913
6 Customer Needs and Wants 6 4.07 .410 .897
7 Intensity of Competition 5 3.87 .542 .863
8 Technological Opportunity 3 3.84 .634 .732
Source: SPSS Outputs
Table (4.1) shows mean value, standard deviation and Cronbach’s alpha value to
test the reliability of independent variables. Cronbach’s alpha values of all independent
variables are greater than 0.70 therefore it can be acceptable.
187
4.1.1 Intellectual Capital
For the analysis of intellectual capital, 11 variables were used in the
questionnaire.
Table (4.2) Validity Test for Intellectual Capital
Factors
Develop new ideas and knowledge of employees.
Enough skill of employees to develop new product.
Recruit and retain the competent people needed for new product development.
Seeking new ways to do things by management.
Creative thinking and behavior of management by themselves.
Skeptical of new ideas by management.
Searching new things by management.
Behavior influences by management to others in trying new things.
Knowledge sharing and learning of employees from different department.
Knowledge sharing and learning of employees from same department.
Bartlett's Test 746.258
Cronbach's Alpha 0.895
K-M-O .769Source: SPSS Outputs
Table (4.2) displays the results of validity test for the items of intellectual capital.
Bartlett’s test is conducted to assess the overall significance of the correlation matrix. As
a result, the chi-square score is 746.258 with p<0.001. Therefore it can be concluded that
the variables are uncorrelated in the population. The Cronbach’s α value for the
underlying factors is 0.895, since Cronbach’s α value is greater than 0.70, it can be
concluded that all the items are reliable. Next, the KMO score is 0.769, which is greater
than 0.7. It can be said that sampling adequacy for each variable is enough.
4.1.2 Organization Structure
188
For the analysis of organization structure, 9 items were used in the
questionnaire.
Table (4.3) Validity Test for Organization Structure
Factors
Communication channels between upper levels of management and the employees open
Informing corporate plans to employees.
Communication channels among the employees at the same level of hierarchy open.
Seeking assistance in documents such as organization handbook, procedures and manuals for decision making.
Employees Insights on company as a completely institutionalized entity.
Monitoring employees constantly whether they violate the corporate rules and procedures.
Need approval from upper level managers for routine decision making and daily tasks.
Bartlett's Test 603.977
Cronbach's Alpha 0.877
K-M-O .731Source: SPSS Outputs
Table (4.3) displays the results of validity test for the items of organization
structure. Bartlett’s test is conducted to assess the overall significance of the correlation
matrix. As a result, the chi-square score is 603.977 with p<0.001. Therefore it can be
concluded that the variables are uncorrelated in the population. The Cronbach’s α value
for the underlying factors is 0.877, since Cronbach’s α value is greater than 0.70. It can be
concluded that all the items are reliable. Next, the KMO score is 0.731, which is greater
than 0.7. It can be concluded that sampling adequacy for each variable is enough.
4.1.3 Organization Culture
For the analysis of organization culture, 9 items were used in the questionnaire.
189
Table (4.4) Validity Test for Organization Culture
Factors
Encourage for coordination with different department in developing one’s own ideas.
Encourage to develop one’s own ideas for the improvement of the corporation.
Encourage employees from different department to come together to develop new project ideas.
Upper management’ awareness and very receptive to new ideas and suggestions.
Rewards depend on their work on the job.
Reward for innovative and successful projects.
Reward Employees from every level for innovation.
Appreciate Employees for their well performance.
Increase employee’s job responsibilities after well performance.
Bartlett's Test 904.132
Cronbach’s α value 0.927
K-M-O .617Source: SPSS Outputs
Table (4.4) displays the results of validity test for the items of organization
culture. Bartlett’s test is conducted to assess the overall significance of the correlation
matrix. As a result, the chi-square score is 904.132 with p < 0.001. Therefore it can be
concluded that the variables are uncorrelated in the population. The Cronbach’s α value
for the underlying factors is 0.927. Since Cronbach’s α value is greater than 0.70, it can be
said that all the items are reliable. Next, the KMO score is 0.617, which is greater than
0.7. It can be concluded that sampling adequacy for each variable is reliable.
4.1.4 Market Strategy
For the analysis of market strategy, 6 items were used in the questionnaire.
Table (4.5) Validity Test for Market Strategy
Factors
190
Receives customer response for NPD.
Member/s of new product development team regularly travels to new locations in search of new product ideas.
Enables to meet market needs.
Gives priority to customer needs.
Business objectives driven by customer satisfaction.
Business strategy based on understanding of customer needs.
Bartlett's Test 263.718
Cronbach’s α 0.868
K-M-O .764Source: SPSS Outputs
Table (4.5) displays the results of validity test for the items of market strategy.
Bartlett’s test is conducted to assess the overall significance of the correlation matrix. As
a result, the chi-square score is 263.718 with p < 0.001. Therefore it can be concluded
that the variables are uncorrelated in the population. The Cronbach’s α value for the
underlying factors is 0.868. Since Cronbach’s α value is greater than 0.70, it can be said
that all the items are reliable. Next, the KMO score is 0.764, which is greater than 0.7. It
can be concluded that sampling adequacy for each variable is enough.
4.1.5 Manufacturing Strategy
For the analysis of manufacturing strategy, 10 items were used in the
questionnaire.
Table (4.6) Validity Test for Manufacturing Strategy
Factors
Decrease in operating waste.191
Increase in delivery speed of products.
Decrease in waste and scrap.
Decrease the make span from taking the orders to the end of delivery.
Decrease the make span from taking the orders to the end of delivery.
Decrease the make span from start of manufacturing process to the end of delivery.
Increase in ability of flexible use of current personnel.
Decrease in total cost of manufacturing processes.
Decrease in input costs.
Cronbach’s α 0.913
Bartlett's Test 695.328
K-M-O .780Source: SPSS Outputs
Table (4.6) displays the results of validity test for the items of manufacturing
strategy. Bartlett’s test is conducted to assess the overall significance of the correlation
matrix. As a result, the chi-square score is 695.328 with p < 0.001. Therefore it can be
concluded that the variables are uncorrelated in the population. The Cronbach’s α value
for the underlying factors is 0.913. Since Cronbach’s α value is greater than 0.70, it can be
concluded that all the items are reliable. Next, the KMO score is 0.780, which is greater
than 0.7. It can be said that sampling adequacy for each variable is reliable.
4.1.6 Customer Needs and Wants
For the analysis of customer needs and wants, 6 items were used in the
questionnaire.
Table (4.7) Validity Test for Customer Needs and Wants
Factors
Inquires the information/feedback from customers.
Increase in product and service quality according to customers’ expectation.
Provide the customer needs.
192
Decrease in customer complaints.
Accepts the first priority to meet the customer needs and expectation.
Importance the situation of target market for the business.
Bartlett's Test 350.042
Cronbach’s α 0.897
K-M-O .858Source: SPSS Outputs
Table (4.7) displays the results of validity test for the items of customer needs
and wants. Bartlett’s test is conducted to assess the overall significance of the correlation
matrix. As a result, the chi-square score is 350.042 with p < 0.001. Therefore it can be
concluded that the variables are uncorrelated in the population. The Cronbach’s α value
for the underlying factors is 0.897. Since Cronbach’s α value is greater than 0.70, it can be
said that all the items are reliable. Next, the KMO score is 0.858, which is greater than
0.7. It can be concluded that sampling adequacy for each variable is enough.
4.1.7 Intensity of Competition
For the analysis of competitive intensity, 5 items were used in the questionnaire.
Table (4.8) Validity Test for Intensity of Competition
Factors
Inquires the information from competitors.
Cooperates with others in the same industry.
Increase in product and service quality compared to rivals.
Creates/imitates the product as the competitors.
Accepts that the industry is competitive.
Bartlett's Test 410.584
193
Cronbach’s α 0.863
K-M-O .742Source: SPSS Outputs
Table (4.8) displays the results of validity test for the items of competitive
intensity. Bartlett’s test is conducted to assess the overall significance of the correlation
matrix. As a result, the chi-square score is 410.584 with p < 0.001. Therefore it can be
concluded that the variables are uncorrelated in the population. The Cronbach’s α value
for the underlying factors is 0.863. Since Cronbach’s α value is greater than 0.70, it can be
concluded that all the items are reliable. Next, the KMO score is 0.742, which is greater
than 0.7. It can be said that sampling adequacy for each variable is reliable.
4.1.8 Technological Opportunity
For the analysis of technological opportunity, 3 items were used in the
questionnaire.
Table (4.9) Validity Test for Technological Opportunity
Factors
Technology improving product quality.
Sufficient technical knowledge.
Sufficient technical experience.
Bartlett's Test 118.507
Cronbach’s α 0.732
K-M-O .511Source: SPSS Outputs
194
Table (4.9) displays the results of validity test for the items of technological
opportunity. Bartlett’s test is conducted to assess the overall significance of the
correlation matrix. As a result, the chi-square score is 118.507 with p < 0.001. Therefore
it can be concluded that the variables are uncorrelated in the population. The Cronbach’s
α value for the underlying factors is 0.732. Since Cronbach’s α value is greater than 0.70,
it can be said that all the items are reliable. Next, the KMO score is 0.511, which is
greater than 0.7. It can be said that sampling adequacy for each variable is enough.
4.2 Analysis on Types of Innovation
Descriptive analysis is used to investigate the types of innovation; product
innovation, process innovation and marketing innovation, undertaken by confectionery
businesses. It was assumed that the confectionery businesses agreed with conducting the
three types of innovation with the score of mean values above 3.41 according to Best,
1977.
The results of descriptive statistics of innovative activities are shown in the
following table.
Table (4.10) Mean Values of Product Innovation
Description MeanStandard Deviation
Develop new products with totally differing from the current ones. 4.01 .790
Develop newness for current products to improve ease of use for customers and to improved customer satisfaction. 4.11 .818
Develop new products with ingredients differing from the current ones. 3.51 1.198
Increased manufacturing cost in ingredients of new products. 4.04 .656
Increased quality in ingredients of current products. 4.24 .477
Product Innovation (overall mean) 4.12Source: SPSS Outputs
According to Table (4.10), the overall mean value of product innovation factors
was 4.12, which indicate that the confectionary firms improved the existing products and 195
also developed the new ones. It can be found that the confectionery businesses
performed product innovation by developing new products with different materials and
components considering the customers’ health consciousness. The businesses developed
newness for current products leading to improve ease of use for customers according to
the changing lifestyles.
Table (4.11) Mean Values of Process Innovation
Description MeanStandard
Deviation
Used new and more effective techniques and machines in
NPD processes. 3.84 .796
Decreased cost in NPD processes. 2.90 1.001
Decreased variable cost and/or increasing productivity in
production processes.3.84 .520
Increased output quality in NPD processes. 3.99 .488
Process Innovation (overall mean) 3.92Source: SPSS Outputs
According to Table (4.11), the overall mean value of process innovation factors
was 3.92, which indicate that the confectionary firms changed existing manufacturing
processes, techniques and machinery to improve productivity and output quality to meet
the market needs. In addition, the businesses considered the product quality and the
healthy life of customers. The making by manpower and even the using of coal boiler
can impact on product quality such as leaving ashtray and the cleanness of working
environment. As the process innovation, the confectionery businesses changed the uses
of manpower and machineries from kneading to backing and packaging. In this way, the
businesses cannot reduce cost in NPD process because of emphasizing to improve
product quality.
In the previous confectionary businesses, a small bakery business produced
products with the usage of average 270 visses raw material per day by using together
manpower and machineries from kneading to baking process. Kneading, rolling,
moulding, sending to the bakeries with the use of chains, adjusting the chains movement
to be slow or fast by checking the trays coming out from the bakeries, arranging the
finished trays are continuous processes to be in harmony with by the utility of manpower
196
and machineries. It takes a long time to produce quality product. Currently, when coal
boilers are replaced and machineries are used more from kneading to baking process,
more than average 400 visses raw material per day are used for these processes. Some
confectionary businesses use electronic machines over 1000 visses of wheat per day that
are used for production processes.
Table (4.12) Mean Values of Marketing Innovation
Description Mean Standard Deviation
Renewed the product promotion techniques employed for the promotion of the current and/or new products. 3.22 .951
Renewed the distribution channels in the delivery of the product. 3.67 .863
Renewed the product pricing techniques employed for the pricing of the current and/or new products. 3.21 1.017
Renewed the design of the current and/or new products through changes such as in appearance, packaging, shape and volume.
3.90 1.023
Marketing Innovation(overall mean) 3.57Source: SPSS Outputs
According to Table (4.12), the overall mean value of marketing innovation
factors was 3.57, which indicates that the confectionary firms renewed the design of the
current and/or new products through changes such as in appearance, packaging, shape
and so on. The mean value of these variables showed that the firms emphasized the
innovation activities as the firms’ essential factors to get competition edges and survive
among the rivals. In the previous period, confectionery can be bought in the main
confectionary shops, various food shops in Mandalay Zay Cho. As the marketing
innovation, the confectionery businesses used motorbike carriers and own distribution
vehicles to fulfill customer needs in right time. It can be known by the mean values of
marketing innovation variables.
Table (4.13) Influential Types of Innovation and Types of Business
(Measured by Mean Value)
Types of Innovation
Types of
Product Process MarketingMixing Two Types
Mixing Three Types
Product &
Process
Product & Marketing
Process & Marketing
Product, Process & Marketing
197
BusinessInnovative Firms
Traditional
Bakery
9
74
9
68
8
59
8
63
8
58
8
53
7
53
83 77 67 71 66 61 60
Non-Innovative Firms 6 12 22 18 23 28 29
Total 89 89 89 89 89 89 89Source: Survey Data (2017)
Table (4.13) shows the innovation types performing by the traditional
confectionery and bakery firms. By examining the Table, it can be found that the
number of confectionery business doing product innovation is the largest with 83 which
contain 9 traditional confectionery and 74 bakery business. And, in studying the mixing
two types of innovation, the number of firm performing both product and process
innovation is also more than the other mixing three types of innovation. From the Table,
it can be concluded that the confectionery businesses firstly innovated the products to
meet the demand of customers and the intensity of competition. And then technology
advanced and using new machineries was followed by product innovation. Finally, the
businesses implemented marketing innovation with increased productivity by process
innovation to fulfill the customers’ needs in time.
4.3 Analysis on Innovation Drivers of Each Type of Innovation
In this study, there are four main drivers (eleven dimensions) on the innovation;
namely firm characteristics, firm structure, firm strategy and external factors. After
finding out the underlying dimensions of determinants of innovations by using
confirmatory factor analysis, an analysis on innovative activities is carried out. Finally
the results of multiple regression analysis are described in detail.
4.3.1 Drivers of Product Innovation
In analyzing the drivers of product innovation, firm size, firm age and ownership
status as general firm characteristics; intellectual capital, organization structure,
organization culture as firm structure; marketing strategy and manufacturing strategy as
firm strategy; customer needs and wants, intensity of competition and technological
opportunity as external factors are taken in consideration.
198
Multiple regression analysis is applied to investigate the factors of product
innovation. To develop the multiple regression method, the product innovation is used as
dependent variable and firm size, firm age, ownership status, intellectual capital,
organization structure, organization culture, marketing strategy, manufacturing strategy,
customer needs and wants, intensity of competition and technological opportunity are
used as independent variables.
Table (4.14) Drivers of Product Innovation
Dependent variable
(Product Innovation)
Unstandardized Coefficients
t test Sig VIFB
Std.
Error
(Constant) -.405 .625 -.648 .519
Firm size .000 .000 .486 .629 1.284
Firm age .002 .002 .984 .328 1.147
Ownership Status -.002 .143 -.016 .987 1.089
Intellectual Capital .195** .088 2.211 .030 2.066
Organization Structure .007 .149 .044 .965 4.480
Organization Culture .002 .101 .016 .987 2.428
Market Strategy .420*** .113 3.715 .000 2.046
Manufacturing Strategy -.247** .091 -2.720 .008 2.179
Customer needs and wants .109 .146 .743 .460 2.159
Intensity of competition .484*** .101 4.811 .000 1.785
Technological opportunity .129 .081 1.584 .117 1.591
199
Adjusted R Square 0.557
F-value 11.053***
Durbin-Watson 2.207 Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
As shown in Table (4.14), the coefficient of determination (R2) is more than
55%. It can be said that 55% of the variation in product innovation is explained by the
drivers of innovation. The value of F test is highly significant at 1% level. The value of
Durbin-Watson d is 2.207. Since d is around 2, there is no serial correlation. The VIF is
used to assess the inflation in parameter estimates that are due to the collinearities
among the variables (multicollinerity). The level of multicollinearity with VIF excess 10
was problematic. In this study, each VIF is less than 10. These results show that
muticollinearity problems are not included in this case. Moreover according to the result
of normality test, the histogram looks like a normal distribution (a bell-shaped curve).
For the checking of homoscedsticity, it can be seen from Appendix Table B-12, there is
no definite pattern in the residuals.
As expected, the coefficient of intellectual capital has been found to have a
positively significant at 5% level. This result has proved that intellectual capital is
important drivers of product innovation. The coefficient of market strategy has also
been found to have a positive and highly significant at 1% level. This result has proved
that market strategy is important drivers of product innovation. The coefficient of
manufacturing strategy has also been found to have a negatively significant at 5% level.
This result has proved that manufacturing strategy is important but there is indirect
relationship between manufacturing strategy and product innovation. Moreover, the
coefficient of competition intensity has been found to have a positive and highly
significant at 1% level. This result has proved that competition intensity is important
drivers of product innovation.
In this study, customer needs and wants, intensity of competition and
technological opportunity are considered as external factor. The rapid environmental
change and the uncertainty stimulate the decision-makers to innovate in organizations
(Zaltman, Duncn and Holbeck, 1973; Slappendel, 1996). Product innovations are
prevalent in uncertain environments in which competing products or customers’
preferences alter significantly.
200
The result cannot support Hypothesis 1(a) that “Firm characteristics have a
positive and significant effect on product innovation”. However, the result can
support Hypothesis 1(b) that “Firm structure has a positive and significant effect on
product innovation”. The desire and innovative personality of management and skilled
labor encourage the product innovation. Beyond human capital, an important part of
knowledge, abilities, experiences, and behaviors required for the successful development
of new products and services lies inside and embedded thorough the organization.
Furthermore, in order to get involved workers in the innovation process, the firm should
develop support organizational mechanisms, infrastructure, governance, and so on
(O’Connor and McDermott, 2004). Tseng and Goo (2005) argued that a good structural
capital will translate the human dimension of innovation into company property, through
appropriate managerial leadership and ability.
The result can support Hypothesis 1(c) that “Firm strategy has a positive and
significant effect on product innovation”. Orienting customer needs and satisfaction
drives the product innovation. Bennett and Cooper (1981) suggested that the adoption of
the marketing concept philosophy stifles the development and marketing of radically
new products, and rather encourages the development of incremental product
innovations. This is due to customers being unable to articulate their future needs
beyond current consumption experiences.
The result can support Hypothesis 1(d) that “External factors have a positive
and significant effect on product innovation”. If the firms have customer orientation,
technological improvement and enough funds to get competitive edge, firms would have
more product innovation as much as they can. Unfortunately, it is found that the cost of
manufacturing for product innovation cannot be reduced. Although the owners and
managers have innovative personality, they do not implement their ideas strategically.
Subramanian (1996), as cited in Chryssochoidis (2003) found that firm innovativeness is
not statistically higher in unstable external environments, but firms in such environments
adopt innovations earlier than firms in more stable ones. In a cross-sectional analysis of
Fortune 500 firms discovered that a significant inverted-U shape, with higher
competition initially increasing then decreasing the rate of innovation (Scherer, 1967, as
cited in Aghion, Bloom, Blundell, Griffith and Howitt, 2005).
4.3.2 Drivers of Process Innovation
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Process innovation included four dimensions. Mean process innovation is
effected by firm size, firm age, ownership status, intellectual capital, organization
structure, organization culture, marketing strategy, manufacturing strategy, customer
needs and wants, intensity of competition and technological opportunity.
Multiple regression analysis is applied to investigate the factors of process
innovation. To develop the multiple regression method, the process innovation is used as
dependent variable and firm size, firm age, ownership status, intellectual capital,
organization structure, organization culture, marketing strategy, manufacturing strategy
and external factor are used as independent variables. Regression analysis is conducted
with process innovation and eleven dimensions of drivers of innovation as the
independent variables.
Table (4.15) Drivers of Process Innovation
Dependent variable
(Process Innovation)
Unstandardized Coefficients
t test Sig VIFB Std.
Error
(Constant) 1.940 .807 2.404 .019 -
Firm size .000 .001 .342 .733 1.284
Firm age -.001 .003 -.263 .793 1.147
Ownership Status .091 .184 .494 .622 1.089
Intellectual Capital .349*** .114 3.072 .003 2.066
Organization Structure .240* .143 1.681 .097 1.794
Organization Culture -.234* .131 -1.793 .077 2.428
Market Strategy -.038 .146 -.258 .797 2.046
Manufacturing Strategy -.044 .117 -.377 .708 2.179
Customer needs and wants -.042 .189 -.224 .824 2.159
Intensity of competition .255* .130 1.964 .053 1.785
Technological opportunity .357*** .105 3.406 .001 1.591
Adjusted R Square 0.217
F-value 3.215***
Durbin-Watson 2.321
Source: SPSS Outputs
*, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
As shown in Table (4.15), the coefficient of determinations (R2) is above 21%. It
can be concluded that 21% of the variation in process innovation is explained by the 202
drivers of innovation. The value of F test is highly significant at 1% level. The value of
Durbin-Watson d is 2.321. Since d is around 2, there is no serial correlation. The level of
multicollinearity with VIF excess 10 is problematic and each VIF is less than 10 in this
study. These results show that muticollinearity problems are not included in this case.
Moreover, according to the result of the normality test the histogram looks like a normal
distribution (a bell-shaped curve). For the checking of homoscedsticity, it can be seen
from Appendix Table B-13, there is no systematic part in the residuals.
As expected, the coefficient of intellectual capital has been found to have a
positive and highly significant at 1% level. This result has proved that intellectual capital
is important drivers of process innovation. However, the coefficient of organization
culture has been found to have a negative and significant at 10% level. This result has
proved that organization culture is important drivers of process innovation but there is
indirect relationship between organization culture and process innovation. The
coefficient of intensity of competition has been found to have a positive and significant
at 5% level. This result has proved that intensity of competition is positively important
drivers of process innovation. In addition, the coefficient of technological opportunity
has been found to have a positive and highly significant at 1% level. This shows that
there is important and direct relationship between technological opportunity and process
innovation.
The result cannot support Hypothesis 2(a) that “Firm characteristics have a
positive and significant effect on process innovation”. However, the result can
support Hypothesis 2(b) that “Firm structure has a positive and significant effect on
process innovation”. According to the result, the firms implemented the new
production process by the innovative personality of management with skillful labor. The
investment decision for production process improvement is made by the owner of
businesses. The labours need to be expertise with new machineries in the process
innovation. The businesses encourage developing new product ideas and receiving the
feedback of employees. By appreciating the employees for their new ideas and well
performance, the organization culture drives the process innovation.
The result cannot support Hypothesis 2(c) that “Firm strategy has a positive
and significant effect on process innovation”. The result can support Hypothesis 2(d)
that “External factors have a positive and significant effect on process innovation”.
As the confectionery businesses increment their current product and create new product
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to survive in competitive edge, the business owners enable the process innovation with
product innovation by inquiring the information of competitors. The opportunity to
improve technology is also important for process innovation.
4.3.3 Drivers of Marketing Innovation
Marketing innovation included four dimensions. Mean marketing innovation is
effected by firm size, firm age, ownership status, intellectual capital, organization
structure, organization culture, marketing strategy, manufacturing strategy, customer
needs and wants, intensity of competition and technological opportunity.
Multiple regression analysis was applied to investigate the factors of marketing
innovation. To develop the multiple regression method, the marketing innovation was
used as dependent variable and firm size, firm age, ownership status, intellectual capital,
organization structure, organization culture, marketing strategy, manufacturing strategy,
customer needs and wants, intensity of competition and technological opportunity are
used as independent variables. Regression analysis is conducted with marketing
innovation and eleven dimensions of drivers of innovation as the independent variables.
Table (4.16) Drivers of Marketing Innovation
Dependent variable (Marketing Innovation)
Unstandardized Coefficients t test Sig VIFB Std. Error
(Constant) .387 1.111 .348 .728Firm size -6.848E-5 .001 -.084 .933 1.284Firm age .003 .004 .711 .479 1.147Ownership Status -.226 .254 -.890 .376 1.089Intellectual Capital .517*** .157 3.303 .001 2.066Organization Structure -.032 .264 -.119 .905 4.480 Organization Culture -.190 .180 -1.056 .294 2.428
Manufacturing Strategy -.119 .201 -.594 .554 2.046
Market Strategy -.002 .162 -.012 .990 2.179
Customer needs and wants .648** .260 2.491 .015 2.159
Intensity of competition -.045 .179 -.252 .802 1.785Technological opportunity .094 .144 .652 .516 1.591Adjusted R Square 0.220F-value 3.251***
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Durbin-Watson 2.206 Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
As shown in Table (4.16), the coefficient of determinations (R2) is 22%. It can be
said that 22% of the variation in marketing innovation is explained by the drivers of
innovation. The value of F test is highly significant at 1% level. The value of Durbin-
Watson d is 2.026. Since d is around 2, there is no serial correlation. Each VIF is less
than 10. These results show that muticollinearity problems are not included in this case.
According to the result of normality test, the histogram looks like a normal distribution
(a bell-shaped curve). For the checking of homoscedsticity, it can be seen from
Appendix Table B-14, there is no definite pattern in the residuals.
As expected, the coefficient of intellectual capital has been found to have a
positive and highly significant at 1% level. This result has proved that intellectual capital
is important drivers of marketing innovation. The coefficient of customer needs and
wants also has been found to have a positive and significant at 5% level. This result has
proved that customer needs and wants are important drivers of marketing innovation.
The result cannot support Hypothesis 3(a) that “Firm characteristics have a
positive and significant effect on marketing innovation”. However, the result can
support Hypothesis 3(b) that “Firm structure has a positive and significant effect on
marketing innovation”. In changing product promotion techniques, distribution
channels and product appearance, packaging, shape and volume necessary in order to
adapt with the market needs, the innovative personality of management level and
involvement of skill workers are important drivers. The result cannot support
Hypothesis 3(c) that “Firm strategy has a positive and significant effect on the
marketing innovation”. The result can support Hypothesis 3(d) that “External
factors have a positive and significant effect on marketing innovation”. The
confectionery businesses relied on customer needs and wants in implementing marketing
innovation.
4.4 Analysis on the Influence of Innovation on Firm Performance
The relationship between overall innovation and overall performance measured
is shown in Table (4.17) in an extracted form. The original result is shown in Appendix
Table B-4.
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Table (4.17) Influencing Innovation Types on Firm Performance
Dependent variable (Performance)
Unstandardized Coefficient t test Sig
VIFB Std. Error
(Constant) 2.248 .374 6.011 .000
Product Innovation .317*** .084 3.797 .000 1.204
Process Innovation .033 .104 .313 .755 1.769
Market Innovation .117 .071 1.650 .103 1.547
Adjusted R Square .221
F-value 9.330***
Durbin-Watson 1.711Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
According to Table (4.17), the coefficient of determinations (R2) is 22%. It can
be said that 22% of the variation in firm performance is explained by product
innovation, process innovation and market innovation. The value of F test is highly
significant at 1% level. The value of Durbin-Watson d is 1.711. For 89 observations and
three explanatory variables, dl is 1.434 and du is 1.577 at the 1 percent level. Since the
computed d of 1.711 is greater than du=1.577. It can be concluded that there is no serial
correlations in the residuals. Each VIF is less than 10. These results show that
multicollinearity problems were not included in this case. According to the result of
normality test, the histogram looks like a normal distribution (a bell-shaped curve). For
the checking of Homoscedsticity assumption, it can be seen from the Appendix Table B-
15, there is no systematic part in the residuals.
The coefficient of product innovation has been found to have a positive and
highly significant at 1% level. It can be concluded that product innovation is direct
positive impact on performance of confectionary businesses. The overall performance of
the firm is significantly influenced by product innovation.
The result can support Hypothesis 4(a) that “Product innovation has a positive
and significant effect on the firm performance”. Of 83 confectionery businesses, 93
206
percent have product innovation activities. Consequently, production innovation effects
on the firm performance by developing new products with totally differing from the
current ones. Moreover, the businesses improved current products to ease of use for
customers. The result cannot support Hypothesis 4 (b) that “Process innovation has a
positive and significant effect on the firm performance” and Hypothesis 4 (c) that
“Marketing innovation has a positive and significant effect on the firm
performance”.
4.5 Analysis on Effect of Innovation on Firm Performance Measures
To analyze the correlations of innovation and performance, the four measures of
performance were used in this study: increase in number of employees, increase in
number of production, increase in sale volume and increase in profit during the last three
years (2013-2015). In the following, the influencing types of innovation on each
performance measure are analyzed.
4.5.1 Influencing Types of Innovation on Firm Performance Measures
(Number of Employee)
To analyze the influencing types of innovation on firm performance in terms of
number of employees, the multiple regression method is applied by identifying the
product, process and market innovation as the independent variables and the number of
employees as dependent variable.
Table (4.18) Influencing Innovation Types on Firm Performance Measure(Number of Employee)
Dependent variable (Performance)
Unstandardized Coefficient t test Sig VIF
B Std. Error
(Constant) 2.068 .443 4.663 .000
Product Innovation .351*** .099 3.545 .001 1.204
Process Innovation -.053 .124 -.426 .671 1.769
Market Innovation .187** .084 2.231 .028 1.547
Adjusted R Square .195
F-value 8.094***
Durbin-Watson 1.939 Source: SPSS Outputs
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*, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
Table (4.18) mentioned the relationship between innovation types and
performance measured with number of employee. The multiple regression method is
applied by identifying the product, process and market innovation as the independent
variables and the number of employees as dependent variable. According to the result,
the coefficient of determinations (R2) is above 19%. It can be said that 19% of the
variation in firm performance in terms of number of employee is explained by product,
process and market innovation. The value of F test is highly significant at 1% level. The
value of Durbin-Watson d is 1.939. For 89 observations and three explanatory variables,
dl is 1.434 and du is 1.577 at the 1 percent level. Since the computed d of 1.939 is greater
than du=1.577. It can be concluded that there is no serial correlations in the residuals.
Each VIF is less than 10. These results show that multicollinearity problems were not
included in this case. The coefficient of product innovation has been found to have a
positive and highly significant at 1% level. It can be concluded that product innovation
has direct positive impact on performance measured with number of employees in
confectionary businesses.
The result can support Hypothesis 5(a) that: “Product innovation has a
positive and significant effect on the firm performance in terms of number of
employees”. The management’ innovative personality and increased number of skillful
workers is one of the important drivers to improve product quality and productivity.
Product innovation leads to increase human resource. However, the result cannot
support Hypothesis 5(b) that: “Process innovation has a positive and significant
effect on the firm performance in terms of number of employees”. The coefficient of
marketing innovation has been found to have a positive and significant at 5% level. It
can be concluded that marketing innovation has direct positive impact on performance
measured with number of employees in confectionary businesses. Therefore the result
can support Hypothesis 5(c) that: “Marketing innovation has a positive and
significant effect on the firm performance in terms of number of employees” .
Because of the businesses renewed the distribution channels in the delivery of the
product, the production volume need to increase with higher sale volume. The more
need for work force as the more increase in productivity.
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4.5.2 Influencing Types of Innovation on Firm Performance Measure(Production Volume)
To analyze the influencing types of innovation on firm performance in terms of
production volume, the multiple regression method is applied by identifying the product,
process and market innovation as the independent variables and the production volume
as dependent variable.
Table (4.19) Influencing Innovation Types on Firm Performance Measure
(Production Volume)
Dependent variable (Performance)
Unstandardized Coefficients t test Sig VIF
B Std. Error
(Constant) 2.887 .491 5.881 .000
Product Innovation .274** .110 2.497 .014 1.204
Process Innovation .083 .137 .608 .545 1.769
Market Innovation .027 .093 .288 .774 1.547
Adjusted R Square .082
F-value 3.630***
Durbin-Watson 1.816 Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
In Table (4.19), the impact of innovation types on performance measured with
number of production. As shown in the Table, the coefficient of determinations (R2) is
8%. It can be said that 8% of the variation in firm performance measured with number
of production by product, process and market innovation. The value of F test is highly
significant at 1% level. The value of Durbin-Watson d is 1.816. For 89 observations and
three explanatory variables, dl is 1.434 and du is 1.577 at the 1 percent level. Since the
computed d of 1.816 is greater than du=1.577. It can be concluded that there is no serial
correlations in the residuals. Each VIF is less than 10. These results show that
multicollinearity problems were not included in this case. The coefficient of product
innovation has been found to have a positive and significant at 5% level. It can be
concluded that product innovation has direct positive impact on performance measured
with number of production in confectionary businesses. The result can support
209
Hypothesis 6 (a) that: “Product innovation has a positive and significant effect on
the firm performance in terms of production volume”. However, the result cannot
support Hypothesis 6(b) that: “Process innovation has a positive and significant
effect on the firm performance in terms of production volume” and Hypothesis 6(c)
that: “Marketing innovation has a positive and significant effect on the firm
performance in terms of production volume”.
4.5.3 Influencing Types of Innovation on Firm Performance Measure
(Sales Volume)
To analyze the influencing types of innovation on firm performance in terms of
sales volume, the multiple regression method is applied by identifying the product,
process and market innovation as the independent variables and the sales volume as
dependent variable.
Table (4.20) Influencing Innovation Types on Firm Performance Measure (Sales Volume)
Dependent variable (Performance)
Unstandardized Coefficient
t test Sig VIFB Std. Error
(Constant) 2.887 .491 5.881 .000
Product Innovation .274** .110 2.497 .014 1.204
Process Innovation .083 .137 .608 .545 1.769
Market Innovation .027 .093 .288 .774 1.547
Adjusted R Square .082
F-value 3.630***
Durbin-Watson 1.816Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
As shown in Table (4.20), the coefficient of determinations (R2) is 8%. The value
of F test is highly significant at 1% level. The value of Durbin-Watson d is 1.816. For
89 observations and three explanatory variables, dl is 1.434 and du is 1.577 at the 1
percent level. Since the computed d of 1.816 is greater than du=1.577. It can be
concluded that there is no serial correlations in the residuals. Each VIF is less than 10.
These results show that multicollinearity problems were not included in this case. The 210
coefficient of product innovation has been found to have a positive and significant at 1%
level. It can be concluded that product innovation has direct positive impact on
performance measured with sales volume in confectionary businesses. The result can
support Hypothesis 7 (a) that: “Product innovation has a positive and significant
effect on the firm performance in terms of sale volume”.
Relating the product innovation to firm performance causes to distinguish
between three sources from which the extra revenue comes from (Kerin, Harvey and
Rothe, 1978, as cited in Reichstein, 2000):
New consumers who were not previously buyers of the product type.
Consumers of competitive brands.
Consumers of an existing company brand who switch to the new or reformulated
brand or product.
However, the result cannot support Hypothesis 7(b) that: “Process innovation has
a positive and significant effect on the firm performance in terms of sale volume”
and Hypothesis 7(c) that: “Marketing innovation has a positive and significant
effect on the firm performance in terms of sale volume”.
4.5.4 Influencing Types of Innovation on Firm Performance Measure (Profit)
To analyze the influencing types of innovation on firm performance in terms of
profit, the multiple regression method is applied by identifying the product, process and
market innovation as the independent variables and profit as dependent variable.
211
Table (4.21) Influencing Innovation Types on Firm Performance Measure (Profit)
Dependent variable (Performance)
Unstandardized Coefficient t test Sig VIF
B Std. Error
(Constant) 1.518 .454 3.348 .001
Product Innovation .451*** .101 4.449 .000 1.204
Process Innovation -.050 .127 -.397 .692 1.769
Market Innovation .239** .086 2.787 .007 1.547
Adjusted R Square .292
F-value 13.124***
Durbin-Watson 1.778Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
According to Table (4.21), the coefficient of determinations (R2) is 29%. The
value of F test is highly significant at 1% level. The value of Durbin-Watson d is 1.778.
For 89 observations and three explanatory variables, dl is 1.434 and du is 1.577 at the 1
percent level. Since the computed d of 1.778 is greater than du=1.577. It can be
concluded that there is no serial correlations in the residuals. Each VIF is less than 10.
These results show that multicollinearity problems were not included in this case. The
coefficient of product innovation has been found to have a positive and highly
significant at 1% level. It can be concluded that product innovation has direct positive
impact on performance measured with profit of confectionary businesses. In addition,
the coefficient of market innovation has been found to have a positive and significant at
5% level. It can be concluded that market innovation has direct positive impact on
performance measured with profit of confectionary businesses. The result can support
Hypothesis 8(a) that: “Product innovation has a positive and significant effect on
the firm performance in terms of Profit”. However, the result cannot support
Hypothesis 8(b) that: “Process innovation has a positive and significant effect on
the firm performance in terms of Profit”. The result can support Hypothesis 8(c) that:
“Marketing innovation has a positive and significant effect on the firm
performance in terms of Profit”. In three types of innovation, product innovation
highly and significantly impact on performance with all measures. It can be concluded
that developing new product and increased output quality caused to increase the firm
performance.
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4.6 Summary of Innovation and Performance of Confectionery Businesses
By analyzing the drivers of innovation, types of innovation and performance for
randomly selected 86 confectionery businesses in Mandalay municipal area, the result of
drivers and innovation of confectionery businesses can be explored. This result summary
is presented with Table (4.22) for simplicity.
Table (4.22) Summary of Innovation Drivers of Confectionery Businesses
Independent Variable
Dependent Variable
Product Innovation
Process Innovation
Marketing Innovation
B Sig B Sig B Sig
Intellectual Capital .195** .030 .349*** .003 .517*** .001
Organization Structure - - .240* .097 - -
Organization Culture - - -.234* .077 - -
Market Strategy .420*** .000 - - - -
Manufacturing Strategy -.247** .008 - - - -
Customer Needs and Wants - - - - .648** .015
Intensity of Competition .484*** .000 .255* .053 - -
Technological Opportunity - .357*** .001 - -
Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
According to the result, although this study found that the sizes of the firms do
not impact on product innovation because every size of the firms innovated in Mandalay
confectionary industry, Miller, Droge and Toulouse (1988) said that once organizations
increase in size, they require more elaborate control systems and gradually lose on their
ability to innovate. It is difficult for older organizations to generate innovations due to
213
distorted perceptions, dulled motivation, poor creativity, political deadlocks and
disconnected actions (Dougherty and Heller, 1994). In this study, the age of the firm is
not an important factor in innovation. It can be seen that some long life span businesses
have so many new things e.g., Traditional confectionery firms, Myint Myint Khin, has
more than 100 years life span (since 1912), have the product, process and marketing
innovative activities. The business minded the customers’ health consciousness in using
ingredients, the customers’ changing lifestyles in packing, marketing and distribution.
Table (4.22) shows the analysis result after using multiple regression method.
According to table, intellectual capital can cause the firm innovation. In the study,
centralized and formalized organization structure is mostly founded. Therefore
management support is important in decision making even though the employees are
rewarded for their creative ideas. Rewarding employees for their innovative idea and
well performance drives the firms’ innovation. In addition, customer orientation by
understanding the needs and circumstances of the customers very well namely market
strategy is a force in the firm innovation. Making cost effective in manufacturing
process can drive the firm innovation. Moreover, the external factors: customer
orientation, intensity of competition and technological opportunity, drive the firm
innovations.
Table (4.23) Summary of Innovation and Performance of Confectionery Businesses
Independent Variable
Dependent Variable
No. of employees
Production volume Sale volume Profit
B Sig B Sig B Sig B Sig
Product Innovation
.351*** .001 .274** .014 .274** .014 .451*** .000
Marketing Innovation
.187** .028 - - - - .239** .007
Source: SPSS Outputs *, **, ***: Indicate statistical significance at the 10% level, 5% level and 1% level
As the types of innovation, product innovation is mostly implemented by the
confectionery businesses. Table (4.23) describes the result of analyzing the types of
innovation and the performance of businesses. The product innovation influenced on all 214
performance measured of the firm. The market innovation impact on number of
employee and profit measured.
CHAPTER 5
CONCLUSION
This chapter discusses the findings from the study of Mandalay confectionary
businesses that are innovated and baked based confectionary. The baked based
confectionary businesses are classified into two types such as traditional confectionery
and bakery firms. Data analysis concerning the drivers of innovation, types of
innovation and performance of confectionary businesses in Mandalay and the results are
discussed. It also provides suggestions and comments and the needs for further study.
5.1 Findings and Discussions
In Mandalay, although confectionary businesses have fostered the innovation in
their businesses, it is not assured that all of the businesses will know about the factors
influencing the innovation and the business performance. Therefore this study intends to
explore the drivers on each type of innovation and analyzed the relationship between
types of innovation and firm performance of confectionery businesses in Mandalay.
Moreover, in Mandalay confectionary industry, new food products are carefully
prepared to meet the standard of healthy food quality, in taste, ingredients etc as the
consumption patterns have shifted over time toward more low-fat and less sugar. Some
foods are modified with easy-to-carry packages due to the changing of consumers’
lifestyles. Sales promotions are made by using better distribution system and
transportation throughout the country. Therefore it is important to know what factors are
driving the innovation and the performance of confectionary businesses in Mandalay.
215
Innovation enables the firms to become competitive and to satisfy customers’
needs and wants that are always changing. As innovation is important in the success of
businesses, there is a need to find out the factors that are driving force of the innovation.
Although previous studies considered several factors that had effect on innovation, this
study aims to analyze general firm characteristics, firm structure, firm strategy, customer
needs and wants, intensity of competition and technological opportunity as independent
variables and types of innovation and firm performance as dependent variables. The
important innovation drivers are summarized after conducting factor analysis. And then
the correlation coefficient between independent and dependent variables can be
calculated by using multiple regression method.
Previously in confectionary businesses, manpower and machineries are used
together starting from kneading to baking process. During this processes, it is important
to make them step by step. Kneading, rolling, moulding, sending to the baking sheet
with the use of chains, adjusting the chains movement to be slow or fast by checking the
trays coming out from the baking sheet, arranging the finished trays are continuous
processed to be in harmony with the utility of manpower and machineries. At that time
the role of bakers were the main workers in business. At present, coal boilers are
replaced and machineries are used more for kneading to baking process. Therefore the
leaders’ experience is important in managing the confectionary businesses.
Chryssochoidis (2003) studied firm size, firm age and ownership status as
organizational demographic characteristics associated with product innovation.
However, this study found that general characteristics of the firm are not related to any
types of innovation. It can be concluded that the confectionery businesses in Mandalay
are innovated within the scope of business regardless of the firm size, firm age and
ownership status
Firstly, the result of the study confirmed the belief of Freel (1999) that
management competency is one of the skills constraints affecting innovation. Beaver
and Jennings (2000) and Jennings and Beaver (1997), as cited in Vyas (2009) said that
the innovative personality of firm’s key decision makers caused competitive advantage.
In this study, one of the innovation drivers, intellectual capital which contained
innovative personality, skilled labor and social capital, strongly impact on all three types
of innovation.
216
In order to get involved workers in the innovation process, the firm should
develop support organizational mechanisms, infrastructure, governance, and so on
(O’Connor and McDermott, 2004). An important part of knowledge, abilities,
experiences, and behaviors required for the successful development of new products and
services lies inside and embedded within the organization. The supply of higher levels of
education, training and skills is strongly related to the increased demand for and supply
of innovation. At the most fundamental level it has been shown that investment in
capital equipment, innovation and human capital are broadly complementary and
mutually reinforcing (Lloyd-Ellis and Roberts, 2002, as cited in Toner, 2011).
Among the internal factors shown to be the most important determinants of
innovative activity are high incidence of qualified workers, and strong leadership
provided by a highly educated director or founder (Hoffman, Parejo, Bessant, Perren,
1998; Le Blanc, Nash, Gallagher, Gonda, Kakizaki, 1997) although some studies do not
find that effect (Keizer et al., 2002). Innovation is not related to the number of highly
educated staff (Radas et al., 2009). However Mohnen and Roller (2005) showed that
human capital is one of the crucial factors in innovative activities, and that absence of
necessary skills is a serious impediment to innovation.
In this study, the present employees in the business are more involved than the
new workers in implementing the business’s innovative activities. From the
management point of view, the retention of these employees is an important factor.
Therefore the business considered the plan to secure the services of these existing
workers. For example, Bayin biscuit never layoff even though in the sale decline season.
During that time, the business is engaged in producing products in advanced for the peak
season. In this way, the confectionery businesses manage to retain their skillful
employees. Some of the confectionery businesses hired international bakers and trained
their workers. Moreover, the business permitted their employees to create new product,
welcome their original ideas to create and to test the prototype and then if the market
testing is successful, the business rewarded the innovative workers. However, according
to Myanmar culture the business owners mostly generated the innovative idea and are
decision makers.
During the implementation phase, greater formalization and centralization can be
allowed because role conflict and ambiguity is reduced. In this study, most of the
innovated confectionery businesses applied formalized and centralized organization
217
structure. However, Zaltman et al., (1973) concluded that complex innovation projects
cannot be successfully pursued in highly politically empowered, centralized
unspecialized and highly rigid bureaucratic structures. Such structures overburden for
managements, affording them too little time or assistance to initiate complex projects of
innovation. Gersick (1991) noted that a “deep structure” that inhibits innovations is in
place. Zaltman et al., (1973) suggested that it is necessary to employ low formalization
and low centralization during innovation initiation phases because at this stage
information gathering and processing is crucial for success. Johne (1984) found indeed
that leaders in high-tech sectors predominantly used spoken word (low formalization)
during initiation and written progress monitoring tools during implementation.
In order to succeed, businesses need to continually adapt to changing market
pressures to ensure customer satisfaction is achieved in a way that creates growth for the
business. Therefore businesses must innovate in order to succeed, in order to grow, then
understanding what factors are driving the innovation and how to assure success, is
essential. Organization cultures including the factors namely reward system and
management support was also positively correlated with product innovation. The
confectionery businesses recognized the new ideas and suggestions of employees and
then rewarded for the well performance. For example, Zalatwar confectionery
encouraged the employees’ new ideas by rewarding if the new ideas were really
innovated.
As shown in the conceptual framework, market orientation is the superior firm
performance through the satisfaction of customer’s needs. According to Kohli and Jaworski
(1990), responsiveness is a key when trying to change market needs and expectations. The
studied businesses responded by making innovation to market needs. According to Narver
and Slater (1990), the three major components of market orientation, customer orientation,
competitor orientation and interfunctional coordination are long-term in vision and profit-
driven. It can be found that the confectionery businesses focused customers’ and
competitors’ orientation.
The negative correlation between manufacturing strategy and product innovation
reflected the firms’ effort to improve product quality. But the businesses cannot
efficiently reduce the cost to improve the product quality. Significantly, the influencing
strength of external factors on product innovation including customers’ needs and wants,
intensity of competition and technological opportunity were the best. For example, some
218
confectionery business reduces the total cost of production processes but the distribution
channels cannot be changed. On the other hand, the firms renewed the design of current
or new products but the total cost of manufacturing processes cannot be reduced.
In process innovation, intellectual capital is also the important driver to use
advanced technology and machineries. Another one, the effect of formalized
communication and centralized organization structure on process innovation reflected
the Myanmar culture. Although the confectionery businesses in Mandalay encouraged
the employees for new ideas, the important decision making was limited in the senior
management. Since the process innovation was followed by the product innovation,
organization structure, organization culture, intensity of competition and technological
opportunity are main drivers for both product and process innovation.
Marketing innovation is effected by intellectual capital and customer needs and
wants. For example, Bayin biscuit tries to implement the desire of customer that can be
known through the distributers and delivering carriers. Even though the business wants
and is able to produce new product with new price, it must be continued production of
new product with old price due to customers’ résistance in target market.
Consequently, the businesses measure how innovation creates the increasing
value such as revenue from new products or services, profit from new products or
services as financial and market measures (Burnett, 2011). Businesses use a variety of
measures to achieve a better understanding of the value produced, such as profitability,
new product introduction and so on. In fact, innovation remains one of the most elusive
dimensions of organizational performance to quantitatively comprehend (Gatignon et
al., 2002, as cited in Carayannis and Provance, 2007). Performance is the result of
innovation. It can be measured in three levels: output, outcome and impact. Outputs
occur as the immediate, internalized results of innovation. New product introduction,
sale volume and number of employees are among the outputs that emerge. Outcomes
include mid-range results such as revenues and profit contributed by new products.
Finally impacts represent more lasting, long-range benefits that accrue to the firm from
its innovative competence. Example of impact performance includes status as a top
innovator in the industry (Carayannis and Provance, 2007).
This study used number of employees, production volume, sale volume and
profit as the performance measured and influenced by the types of innovation in
confectionery businesses. In analyzing the influencing innovation types on firm
219
performance measure: increased in number of employee: it was found that product
innovation significantly impacted on firm performance. In measuring business
performance in terms of number of production, number of sales and profit, the
significantly effect of product innovation were found on these measurements.
Continuously, the correlations of factors of product innovation and firm performance
were analyzed. The confectionery businesses used different material, components and
technology in developing new products. Moreover the businesses improved quality and
cost of material and components for product innovation. According to the regression
result of influencing innovation types on firm performance, process innovation also
impacted on firm performance measured by number of sales and profit. The
confectionery businesses implemented process innovation by using new and more
effective techniques and machines in new product development process. In this study,
the percentage of business implementing marketing innovation is very low and the
businesses with marketing innovation especially renewed the design of the current and
new products through changes such as in appearance, packing, shape and volume.
In Summary, among the drivers of innovation, intellectual capital is significant
driver in Mandalay confectionery businesses. Even though the confectionery businesses
gave employees freedom to materialize their ideas, according to Myanmar culture the
employees implemented the innovation under the control and support of management.
On the other hand, using the new technology and machineries for the process innovation
increased the product quality and productivity but it can also increase cost.
5.2 Suggestions and Recommendation
Innovation is one of the most important means through which businesses
contribute to economic growth, numerous research studies were conducted to determine
which factors positively impact the innovative efforts of businesses. To be successful
over a long period of time, firms must develop the ability to innovate and then to profit
from that innovation (Nelson, 1991). From studying the confectionery businesses in
Mandalay, the drivers of innovation, namely intellectual capital, organization structure,
organization culture, market strategy and manufacturing strategy were internally
important to innovation. The lack of an educated and skilled workforce in modern
technology will be a problem for the growing of the economy. In addition, external
drivers, namely customer needs and wants, intensity of competition and technological
opportunity, are also important to innovation. After discussing with the businesses 220
owner, it can be known that the sales of some business obviously declined after 2015
due to the entrance of more competitors to the confectionery industry. These new entries
competed with advanced technology and low cost strategy. The existing businesses will
be able to overcome these difficulties if they have enough funds to catch up with the
advanced technology and low cost strategy. Therefore the realization of Myanmar’s
transformation depends upon how effectively the country can mobilize and allocate the
vast financial resources needed to support its development targets. In all areas, the
institutions and policy frameworks need to be strengthened to meet Myanmar’s
ambitious reform goals. Great government support will be fundamental to increasing
productivity and to promoting innovation in food industry.
Although international food brands are coming into the market, these brands
cannot penetrate all clusters of consumers. Therefore the current businesses
continuously need to innovate in order to retain the success and to consider all the
drivers of innovation to get competitive advantages. Moreover the confectionery
businesses need to integrate with not only customers but also suppliers and
manufacturers in the supply chain. To get the integration, the businesses should join the
industrial association such as Myanmar Agricultural Food Processors and Exporters
Association. This organization focused on continuing to educate processors for
understanding what it takes to make nutritious, safe and high quality food and build
capacity and consumers about what constitutes good food. Moreover, it supports the
members with a broad range of capacity building programmed including food labeling
guidelines and food safety training seminars. It intends food processors to use current
technology to be able to strengthen the safety of the food and align with international
standards. Useful information about what is happening in the local but also regional food
industry can gain by joining the industrial associations. It will support to have the
capabilities to export to overseas markets. In addition, the public and private sectors
should collaborate on key food industry issues such as producing safe and high quality
food and sourcing raw materials from countries outside. The collaboration can create
value for enterprises and consumers by building capacity and helping to drive a
harmonized approach to Myanmar’s food standards. In addition, most of the businesses
provide the required information about their product such as list of ingredients and
expiry date. Although all food products have to be labeled: FDA (according to officials
from the Food and Drug Association) to ensure quality and safety, only some
confectionery businesses have FDA certification. If the authorities could keep a check to
221
ensure food safety, it is good for both the manufacturers and the consumers to have more
awareness. The policy makers should support the local businesses to survive among the
rivals.
5.3 Needs for Further Study
In the study, the data are collected from the confectionery businesses in
Mandalay only. Hence, the first recommendation is that further research should be done
by opening the survey to other locations in order to improve the findings of the study.
By doing so will also ascertain larger sample size where questionnaire can be distributed
to more businesses. For example, Yangon may be the research area from which more
data about confectionery businesses can be obtained even if it does not have traditional
confectionery business such as Myint Myint Khin.
Moreover, the organizational capacities for innovation can be assessed with the
ORCI (Organizational Renewal Capability Inventory) method, which enables a reliable
diagnosis of the main organizational strengths and weaknesses in terms of innovation.
To assess and develop the capacities for company-wide sustained innovation, the ORCI
(Organizational Renewal Capability Inventory) (Nisula and Kianto, 2013) can be
applied. Organizational renewal capability is based on the knowledge-based view of the
organization (Spender, 1996) and addresses the ability of an organization to produce
sustained learning and innovation, that is, new products, processes, practices, insights,
and mental models, which enable the organization to adapt to external changes as well
as to create change from within the organization (Kianto, 2008; Leonard-Barton, 1995;
Pöyhönen, 2005).
As a final, further study can be done by focusing on the innovative performance
of confectionery businesses from the customer point of view. The impact of innovation
on customer satisfaction of confectionery business can be analyzed as further study since
this study considered the factors driving the innovation from the side of the business.
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Appendix AQuestionnaire
Yangon Institute of EconomicsDepartment of CommerceResearch Questionnaires
Objective: This question is intended to apply for interview with Founder/Owner-Manager/Managing Director or someone who is playing at the role of decision maker in production plan. It will be used only for a survey that will be conducted in a research required to submit for the attainment of Doctor’s Degree conferred by Yangon University of Economics. Research topic is “Innovation in Confectionery Industry”.
Section OnePart A: Business Profile
(1) Name of the firm …………………
(2) Number of employees
1-49
50-100
Above 100
(3) Firm Age
3-12 year
13-22 year
23 -32year
33-42 year
43-52 year
53and above
(4) Type of ownership
Sole proprietorship Partnership Company
(5) Number of items of product currently in the market …………………..
(6) Number of years for developing new product ………………......235
Under 2 years
2-4 years
5-7 years
8-10 years
Above 10 years
(7) For innovation we depend on close cooperation with ... CustomersSuppliersCompetitorsOther
(8) Your business is a member of Myanmar Food Processors and Exporters Association? Yes No
236
Part B: Decision Maker’s Profile
(1) (i) Position at work Owner Manager
(ii) Age ( ) years
(iii) Gender Male Female
(2) Education(i)
(ii)
(iii)
(iv)
High School
Graduated
Master
Others
(3) Which way did you use to get started current businesses?(i) Start from scratch
(ii) Inherited
(iii) Partnership
(iv) Purchasing existing firm
(v) Others
(4) Do you think your business is innovative? Yes No(5) In your innovative activities,
(i) Exploring new ideas(ii)Modifying the existing product(iii)Improving production methods/procedures(iv)Adapting as the other success firms
(6) Who start the innovative activities?(i) Owner(ii) Manager(iii)Marketer
(7)Where the business gets the innovative ideas?(i) Suppliers(ii)Market survey and competitors(iii)Customer survey/suggestion
(8) During the three years (2013-2015), did the business improve the existing product or produce the new product? Yes No
237
(9) During the three years (2013-2015), did the business change the production processes?Yes No
(10) During the three years (2013-2015), did the business change the marketing processes?Yes No
238
Section TwoPart A: Drives of Innovation
(Please circle on the most appropriate level of your agreement or disagreement to the following statement)
1=Strongly Disagree, 2=Disagree, 3=Neutral, 4=Agree, 5=Strongly agree
The questions of intellectual capital
1.The product development team in your company is made up of ‘creative’ people. 1 2 3 4 5
2. Human resources are producing new ideas and knowledge. 1 2 3 4 5
3.Your business has enough skillful labor for new product development.
1 2 3 4 5
4.Human resources are able to recruit and retain the competent people needed for new product development. 1 2 3 4 5
5. You are always seeking new ways to do things. 1 2 3 4 5
6.You consider yourself creative and original in your thinking and behavior. 1 2 3 4 5
7. In your business, you are often skeptical of new ideas. 1 2 3 4 5
8. You like to spend trying out new things. 1 2 3 4 5
9. Your behavior influences others to try new things. 1 2 3 4 5
10.Communication and knowledge sharing is high between employees from different departments.
1 2 3 4 5
11.Knowledge sharing and learning from each other is very common from employees from same department.
1 2 3 4 5
The questions of organizational structure
1.Communication channels are open between upper levels of management and the employees. 1 2 3 4 5
2. Employees are informed on corporate plans.1 2 3 4 5
3. Communication channels are open among the employees
239
at the same level of hierarchy. 1 2 3 4 5
4.Employees seek assistance for decision making in documents such as organization handbook, procedures and manuals. 1 2 3 4 5
5.Employees consider your company as a completely institutionalized entity. 1 2 3 4 5
6.Employees are monitored constantly whether the initiatives they take violate the corporate rules and procedures. 1 2 3 4 5
7.Decision making incentives are limited for middle and upper level employees. 1 2 3 4 5
8.Authority for making decisions on even insignificant issues rests with the senior management.
1 2 3 4 5
9.Routine decision making and daily tasks require approval from upper level managers.
1 2 3 4 5
The questions of organizational culture
1.In your organization, the developments of new and innovative ideas are encouraged. 1 2 3 4 5
2.Developing one’s own ideas is encouraged for the improvement of the corporation.
1 2 3 4 5
3.It is encouraged that employees from different department come together to develop new project ideas.
1 2 3 4 5
4.Upper management is aware and very receptive to new ideas and suggestions.
1 2 3 4 5
5.Employees received or will receive the rewards depend on their work on the job. 1 2 3 4 5
6.Employees with innovative and successful projects will be highly rewarded. 1 2 3 4 5
7. Employees from every level will be rewarded, if they innovate. 1 2 3 4 5
8. Employees will be appreciated by their managers, if they perform 1 2 3 4 5
240
very well.
9.Managers increase employee’s job responsibilities if they perform well.
1 2 3 4 5
The questions of market strategies
1. Businesses receive customer response for new product development.1 2 3 4 5
2.Member/s of new product development team regularly travel/s to
new locations in search of new product ideas. 1 2 3 4 5
3. Business enables to meet market needs. 1 2 3 4 5
4. Business gives priority to customer needs. 1 2 3 4 5
5.Your business objectives are driven primarily by customer
satisfaction. 1 2 3 4 5
6.Business strategy for competitive advantage is based on
understanding of customer needs. 1 2 3 4 5
The questions of manufacturing strategies1. Business can decrease in total cost of manufacturing processes. 1 2 3 4 5
2.Business can decrease in total cost of internal and external logistics processes. 1 2 3 4 5
3. Business can decrease in input costs. 1 2 3 4 5
4. Business can decrease in operating waste. 1 2 3 4 5
5. Business can increase in delivery speed of products. 1 2 3 4 5
6. Business can decrease in waste and scrap. 1 2 3 4 5
7.Business can decrease the make span from taking the orders to the end of delivery. 1 2 3 4 5
8.Business can decrease the make span from start of manufacturing process to the end of delivery. 1 2 3 4 5
9. Business can increase in ability of flexible use of current personnel. 1 2 3 4 5
10. Business has ability to change machines and equipments priorities. 1 2 3 4 5
241
The questions of Customer Needs and Wants
1.Business inquires the information/feedback from customers.
1 2 3 4 5
2.Business can increase in product and service quality according to customers’ demand. 1 2 3 4 5
3. Business can provide the customer needs. 1 2 3 4 5
4. Business can decrease in customer complaints. 1 2 3 4 5
5.
Business accepts the first priority to meet the customer needs and wants.
1 2 3 4 5
6.It is important the situation of target market for the business.
1 2 3 4 5
The questions of Intensity of Competition
1. Business inquires the information from competitors.1 2 3 4 5
2. Business cooperates with others in the same industry.1 2 3 4 5
3.Business can increase in product and service quality compared to rivals. 1 2 3 4 5
4. Business creates/imitates the product as the competitors. 1 2 3 4 5
5. Business accepts that the industry is competitive.1 2 3 4 5
The questions of Technological Opportunity
1. Technology is important in improving product quality.1 2 3 4 5
2. Business has sufficient technical knowledge.1 2 3 4 5
3. Business has sufficient technical experience.1 2 3 4 5
242
243
Part B: Innovation
(Please circle on the most appropriate level of your agreement or disagreement to the following statement during recent three years 2013-2015.)
1=Strongly Disagree, 2= Disagree, 3=Neutral, 4=Agree, 5=Strongly agree
The questions of product innovation
1.Business developed new products totally differing from the current ones. 1 2 3 4 5
2.
Business developed newness for current products leading to improved ease of use for customers and to improved customer satisfaction. 1 2 3 4 5
3.Business developed new products with ingredients differing from the current ones. 1 2 3 4 5
4.Business increased manufacturing cost in ingredients of new products. 1 2 3 4 5
5.Business increased manufacturing quality in ingredients of current products. 1 2 3 4 5
The questions of process innovation
1.Business used new and more effective techniques and machines in NPD processes. 1 2 3 4 5
2. Business decreased cost in NPD processes.1 2 3 4 5
3.Business decreased variable cost and/or increasing productivity in production processes. 1 2 3 4 5
4. Business increased output quality in NPD processes. 1 2 3 4 5
The questions of marketing innovation
1.Business renewed the product promotion techniques employed for the promotion of the current and/or new products. 1 2 3 4 5
244
2. Business renewed the distribution channels in the delivery of the product. 1 2 3 4 5
3.Business renewed the product pricing techniques employed for the pricing of the current and/or new products. 1 2 3 4 5
4.Business renewed the design of the current and/or new products through changes such as in appearance, packaging, shape and volume. 1 2 3 4 5
245
Part C: Performance
(Please circle on the most appropriate level of your business performance to the following statement during recent three years 2013-2015.)
1=Much declined, 2=Moderate declined, 3=Not change, 4=Slightly improved, 5=Improved
1.
For business innovation, number of employees was increased in 2013-2015.
(50 and above =1, Under 50= 2, Neither increase nor decrease=3,
1-50= 4, 50 and above=5)
1 2 3 4 5
2.
After innovation, the business increased number of production volume.
(11-20%=1, 1-10%= 2, 0%=3, 1-29%=4, 30-50%=5)1 2 3 4 5
3.After innovation, the business increased in sale volume.
(11-20%=1, 1-10%= 2, 0%=3, 1-29%=4, 30-50%=5)1 2 3 4 5
4.After innovation, the business increased profit.
(-20%=1, -10%= 2,0%=3, 1-10%=4, 11-20%=5)1 2 3 4 5
Thank You for Your Participation.
Appendix – B
Table (B-1) Multiple Regression Analysis of Product Innovation on DriversModel Summaryb
Model R R Square Adjusted R SquareStd. Error of the
Estimate Durbin-Watson
246
1 .782a .612 .557 .38307 2.207
ANOVAa
Model Sum of Squares df Mean Square F Sig.1 Regression
17.841 11 1.622 11.053 .000b
Residual11.299 77 .147
Total29.140 88
Table (B-2) Multiple Regression Analysis of Process Innovation on DriversModel Summaryb
Model R R Square Adjusted R SquareStd. Error of the
Estimate Durbin-Watson1 .561a .315 .217 .49425 2.321
ANOVAa
Model Sum of Squares df Mean Square F Sig.1 Regression
8.640 11 .785 3.215 .001b
Residual18.810 77 .244
Total27.449 88
Table (B-3) Multiple Regression Analysis of Marketing Innovation on DriversModel Summaryb
Model R R Square Adjusted R SquareStd. Error of the
Estimate Durbin-Watson
1 .563a .317 .220 .68089 2.026
ANOVAa
Model Sum of Squares df Mean Square F Sig.1 Regression 16.577 11 1.507 3.251 .001b
Residual 35.698 77 .464Total 52.275 88
Table (B-4) Multiple Regression Analysis of Firm Performance on Types of InnovationModel Summaryb
Model R R Square Adjusted R SquareStd. Error of the
Estimate Durbin-Watson
1 .498a .248 .221 .41104 1.711
ANOVAa
Model Sum of Squares df Mean Square F Sig.1 Regression 4.729 3 1.576 9.330 .000b
247
Residual 14.361 85 .169Total 19.090 88
Table (B-5) Multiple Regression Analysis of Firm Performance (Number of Employees) on Types of Innovation
Model Summaryb
Model R R Square Adjusted R SquareStd. Error of the
Estimate Durbin-Watson1
.471a .222 .195 .487 1.939
ANOVAa
Model Sum of Squares df Mean Square F Sig.1 Regression 5.767 3 1.922 8.094 .000b
Residual 20.188 85 .238Total 25.955 88
Table (B-6) Multiple Regression Analysis of Firm Performance (Production Volume) on Types of Innovation
Model Summaryb
Model R R Square Adjusted R SquareStd. Error of the
Estimate Durbin-Watson1
.337a .114 .082 .539 1.816
ANOVAa
Model Sum of Squares df Mean Square F Sig.1 Regression 3.170 3 1.057 3.630 .016b
Residual 24.740 85 .291Total 27.910 88
Table (B-7) Multiple Regression Analysis of Firm Performance (Sale Volume) on Types of Innovation
Model Summary
Model R R Square Adjusted R SquareStd. Error of the
Estimate Durbin-Watson1 .337a .114 .082 .539 1.816
ANOVAa
Model Sum of Squares df Mean Square F Sig.1 Regression 3.170 3 1.057 3.630 .016b
Residual 24.740 85 .291Total 27.910 88
Table (B-8) Multiple Regression Analysis of Firm Performance (Profit) on Types of Innovation
Model Summaryb
Model R R Square Adjusted R SquareStd. Error of the
Estimate Durbin-Watson1
.563a .317 .292 .498 1.778
ANOVAa
248
Model Sum of Squares df Mean Square F Sig.1 Regression 9.781 3 3.260 13.124 .000b
Residual 21.117 85 .248Total 30.899 88
Table (B-9) Multiple Regression Analysis of Firm Performance on Product Innovation Factors
Model Summaryb
Model R R Square Adjusted R SquareStd. Error of the
Estimate Durbin-Watson1
.609a .371 .333 .38032 1.857
ANOVAa
Model Sum of Squares df Mean Square F Sig.1 Regression 7.084 5 1.417 9.795 .000b
Residual 12.006 83 .145Total 19.090 88
Table (B-10) Multiple Regression Analysis of Firm Performance on Process Innovation Factors
Model Summaryb
Model R R Square Adjusted R SquareStd. Error of the
Estimate Durbin-Watson1 .430a .185 .146 .43033 1.951
ANOVAa
Model Sum of Squares df Mean Square F Sig.1 Regression
3.534 4 .884 4.771 .002b
Residual15.556 84 .185
Total19.090 88
Table (B-11) Multiple Regression Analysis of Firm Performance on Marketing Innovation Factors
Model Summaryb
Model R R Square Adjusted R SquareStd. Error of the
Estimate Durbin-Watson
1 .347a .120 .078 .44712 1.762
ANOVAa
Model Sum of Squares df Mean Square F Sig.1 Regression 2.297 4 .574 2.872 .028b
Residual 16.793 84 .200Total 19.090 88
249
Figure (B-12) Analysis of Product Innovation on Drivers
Figure (B-13) Analysis of Process Innovation on Drivers
250
Figure (B-14) Analysis of Marketing Innovation on Drivers
251
Figure (B-15) Analysis of Performance on Innovation
252
Appendix C
Forms of Product Innovation (Figure 1-5)
Figure 1
253
Figure 2
Figure 3
254
Figure 4
255
Figure 5
256
Forms of Process Innovation with New Technology and Machineries (Figure 6-14)
Production Process from Kneading to Packaging by Electronic Machines (Figure 6-
10)
Figure 6
257
Figure 7
258
Figure 8
259
Figure 9
260
Figure 10
261
Production Process from Kneading to
Packaging By Manpower with Machines
(Figure 11-14)
Figure 11
262
Figure 12
263
Figure 13
264
Baking by Coal Boiler
Figure 14
265