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Bank Asia
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Internship Report Summer 2006
A RELATIONAL STUDY ON AUTOMATED SERVICE QUALITY, CUSTOMER SATISFACTION AND FINANCIAL PERFORMANCE IN
THE CONTEXT OF BANK ASIA LTD
Submitted by Syed Mohammad Ashiqullah
ID: 0320454
Submitted to Mr. Samir Mainuddin
Lecturer
Independent University, Bangladesh August 24th, 2006
A RELATIONAL STUDY ON AUTOMATED SERVICE QUALITY, CUSTOMER SATISFACTION AND FINANCIAL PERFORMANCE IN
THE CONTEXT OF BANK ASIA LTD
Submitted by Syed Mohammad Ashiqullah
ID: 0320454
Submitted to Mr. Samir Mainuddin
Lecturer
Independent University, Bangladesh August 24th, 2006
August 24, 2006
Mr. Samir Mainuddin
Lecturer, School of Business
Independent University, Bangladesh
Dear Sir,
It is a great pleasure for me to submit the report on “A relational study on automated
service quality and customer satisfaction with the financial performance in the context of
Bank Asia Ltd.”. I am submitting this report as the part of my internship (BBA-499A) in
Bank Asia Ltd. This report will help the organization to find out related factors with their
automated service quality, customer satisfaction and financial performance.
I hope you will asses my report considering the limitations of the study. Your kind
advice will encourage me to do further research in future.
Yours Sincerely
Syed Mohammad Ashiqullah
ID # 0320454
Acknowledgement
In the preparation and finalization of this internship report, I acknowledge the
encouragement and assistance given by a number of people and institution. I am most
grateful to the Bank Asia Ltd. (Gulshan Branch) management to give me the opportunity
to complete my internship in their esteemed organization.
I would like to express my gratitude to my Supervisor Mr. Samir Mainuddin for
providing me detailed feedback and advice on this report. He always gave me his
valuable suggestions in making this study as flawless as possible. My deepest
appreciation also goes to Dr. Nadim Jahangir, Dr Arif-Al Mahmood, Mr. Muzahid
Akbar, and Mr Mohammed Imran for their overall support throughout my university life
which helped me making this report a better one.
I also want to render my special thanks to Mr. Syed Iltefath Hussain, First Vice
President & Manager, and Mr. Alamgir Hossain, Assistant Vice President & Sub-
Manager, Bank Asia Ltd. for providing all the support in the organization. Special thanks
go to the account holders and the employees of the Bank, who spared their time
generously, and took the trouble of answering a detail questionnaire and helped me to
complete my study.
Table of contents Abstract i
1 Introduction 1
2 Problem Statement 1
3 Purpose of the study 3
4 Literature Review 4
5 Research Questions 11
6 Research Hypothesis 11
7 Conceptual Framework 11
8 Operational Definition 12
9 Research Methodology 12
9.1 Research Design 12
9.2 Sampling Method 13
9.3 Survey Instrument 14
9.4 Data Collection Procedure 15
9.5 Data Analysis 15
9.6 Result 16
9.7 Regression analysis 19
9.8 Assessment of the research hypothesis 22
10 Limitations of the Study 23
11 Significance of the Study 24
12 Recommendation 25
13 Conclusion 26
14 Timeline 26
References 27
Appendices 36
INTRODUCTION
Bank Asia symbolizes modern banking with innovative services in Bangladesh. The
Bank provides Online Banking, ATM Support, SMS and Net Banking Services in the
country. The newly developed web application is fully authentic, secured and robust.
This technology based services also provides Fund Transfer through internet,
Debit/Credit Card facility, free SMS message of special type of withdrawal from
customer accounts time to time. Aaaaa aaaaaaaa aaaaaa aaaaaaaaaa aaaaaaaaaa a a a a a a
aaa Bank Asia formed with the Bank Company Act 1991, the rules and regulation issued
by the Bangladesh Bank, the Company Act 1994, the Securities and exchange Rules 1987
and other applicable laws and regulations in 1999. The first Board of Directors of the
bank was constituted with 13 Directors. Aaaaa aaaaaaaa aaaaaa aaaaaaaaaa aaaaaaaaaa a
a a a Bank Asia is gradually setting new standards on banking sector in the matter of
social responsibilities. Bank Asia will meet the cost of ophthalmologic operations for all
children in Bangladesh who are born blind. Bank Asia has introduced scholarship
schemes for the poor and meritorious students of the rural areas for higher studies. Aaaaa
aaaaaThe recent increasing number of private banks in Bangladesh has been an alarming
threat for Bank Asia, and the organizational financial performance seems to be hampered.
Thus Bank Asia wants to investigate the related variables which have significant
relationships with financial performance.
PROBLEM STATEMENT
In an earlier study conducted by Al Hawari and Ward (2005) automated service
quality has been identified to have a significant importance in the financial performance
Automated service quality, customer satisfaction and their relationship with financial performance
2
of a bank. The current study extends the previous study and investigates weather there is
any relationship between automated service quality and customer satisfaction with the
financial performance of a bank in the context of Bank Asia, Bangladesh.
ATM, telephone banking, internet banking, price, and core service, five factors of
automated service quality of a bank are the key components of the financial performance
of a bank. In the general literature, service quality and customer satisfaction have often
been identified as significant predictors of business performance (Duncan and Elliott,
2002; Wiele et al., 2002; Yasin et al., 2004; Yeung et al., 2002). Therefore, this study
explores how perceived quality of automated service and level of customer satisfaction
are related to bank profitability. “Automated service quality” is defined as the customer’s
overall evaluation of the services provided through electronic channels, such as the
internet, telephone and ATMs (Santos, 2003). It is proposed that customer perceptions
and preferences of service quality have a significant impact on a bank’s success.
Analysing markets based on customer perceptions, designing a service delivery system
that meets customer needs, and enhancing levels of service performance are pertinent
objectives for banks to gain and retain a competitive advantage (Brown and Swarts,
1989). Service quality in the broader context has received much attention because of its
obvious relationship with costs, financial performance, customer satisfaction, and
customer retention.
The literature provides an extensive account of the relationships between service
quality, customer satisfaction, and financial performance where face-to-face interaction
between customer and employee is the only focus. Recently, however, technology has
had a remarkable influence on the growth of service delivery options (Dabholkar and
Automated service quality, customer satisfaction and their relationship with financial performance
3
Bagozzi, 2002) and a profound effect on service marketing (Bitner et al., 2000). There are
several competitive advantages associated with the adoption of technology in service
organizations, including the creation of entry barriers, enhancement of productivity, and
increased revenue generation from new services (Fitzsimmons and Fitzsimmons, 1997).
Service quality is one of the main factors that determines the success or failure of
electronic commerce (Santos, 2003). However, automated service quality has tended to
lag behind because practitioners have focused mainly on issues of usability and
measurement of use (Buckley, 2003), with little consideration for the outcomes.
Therefore, this study will investigate weather significant relationship exist among
automated service quality, customer satisfaction and the financial performance in Bank
Asia.
PURPOSE OF THE STUDY
The purpose of the study is to present and test a model, which identifies the
relationship of, automated service quality and customer satisfaction with the financial
performance of the bank.
The rapid development of IT-based technology options advances the need for
research beyond the interpersonal dynamic of service encounters in this technology-
oriented context (Meuter et al., 2000). Parasuraman and Grewal (2000) emphasised the
importance of technology in shaping buyer-seller interactions and recommended further
investigation into the impact of technology, for example, on the service quality-value-
loyalty chain. The quality issues of automated services in the banking context are
becoming important because of their potential influence on: attractiveness, customer
Automated service quality, customer satisfaction and their relationship with financial performance
4
retention, profitability, positive word-of-mouth, and maximum competitive advantages
(Moutinho and Smith, 2000; Nguyen and Leblanc, 1998; Santos, 2003).
Despite the theoretical background underpinning the importance of automated
service quality in customer satisfaction and profitability, empirical research is required to
examine the extent to which it enhances or diminishes these variables in this new context.
Accordingly, this paper will begin with a literature review of current theoretical
arguments, followed by a description of a model, developed by the authors, to show the
relationship between customer perceptions of automated bank services and their
profitability via customer satisfaction. Data collection methods and analysis techniques
will then be explained. The paper will conclude with an examination of the major
research findings, methodological limitations and implications for marketing planning.
The present study aims to identify the relationship of automated service quality and
customer satisfaction with the financial performance of the bank.
LITERATURE REVIEW
Automated Service Quality
There are well-established definitions of service quality within the general personal
interaction environment (Cronin and Taylor, 1992; Parasuraman et al., 1988), but
attention has recently been directed to the e-commerce environment (Santos, 2003). To
date, automated service quality research has been limited to relationship management
rather than the metrics of service quality (Buckley, 2003). Therefore, the current
literature lacks a comprehensive definition of automated service quality. Zeithaml (2002,
p. 135) defined it with specific reference to the internet defining it as “the extent to which
Automated service quality, customer satisfaction and their relationship with financial performance
5
a web site facilitates efficient and effective shopping, purchasing and delivery”. For the
purposes of this research, however, the definition proposed by Santos (2003) has been
adopted, as it provides a more general definition of automated service quality that can be
extended beyond internet-based applications. It is “the
consumers ’ overall evaluation and judgement of the excellence and quality of e-service
offerings in the virtual marketplace”. This is applicable to the current research, as the
internet banking channel is not the only automated service delivery channel in the
banking sector. In addition to internet banking service quality, telephone banking and
ATM service quality are addressed here, within this particular service environment.
Thus, “automated banking service quality” is defined as the customer’s overall
evaluation of the excellence of services provided through electronic networks, such as the
internet, ATM, and telephone banking.
Mols (2000) argued that customer acceptance of new automated channels of service
delivery in banks may bring a dramatic change in the way retail banks build and maintain
close relationships with their customers. The introduction of new automated channels of
service delivery has made customer participation more widely possible (Dabholkar,
1994) and researchers therefore need to adopt new ways to conceptualise automated
service quality, taking into consideration the attributes of all electronic delivery channels
(Dabholkar, 1996; Meuter et al., 2000; Szymanski and Hise, 2000). A number of
marketing scholars identify ATM, internet and telephone banking as the principal
automated delivery channels for retail banking (Joseph and Stone, 2003; Joseph et al.,
1999; Radecki et al., 1997).
Automated service quality, customer satisfaction and their relationship with financial performance
6
In the banking sector, customers tend to use these three different automated service
delivery channels in a complementary way (Dabholkar, 1996). Consequently, building a
relationship with the customer can be developed using any one of them, but more likely
in combination (Lang and Colgate, 2003; Patricio et al., 2003; Ramsay and Smith, 1999).
Customer evaluation of automated service options and their intention to use a particular
option are directly affected by perceptions of the attributes associated with a particular
option (Dabholkar, 1996). Each channel has its own attributes, which differ from the
others. The quality of each automated delivery channel shapes customers’ overall
perception of automated service quality; therefore, each delivery channel has been
considered as a factor in the proposed automated service quality construct rather than an
aggregated measurement. From a customer perspective, price is the most important
motivation for engaging in online purchases and is the most critical comparison lement
(Surjadjaja et al., 2003).
Price is considered as one of the most important determinants of automated service
(Iqbal et al., 2003). Furthermore, research reveals that online consumers are more price-
sensitive than offline consumers. In the sphere of banking, pricing problems associated
with perceptions of unfairness and non-competitiveness, such as fee charges and interest
rates, contribute to bank switching behaviour by consumers (Colgate and Hedge, 2001;
Keaveney, 1995). Consequently, price has been incorporated as an additional factor that
could influence overall customer perceptions of automated service quality.
“Core service” refers to all components of service (Kotler, 1984; Sureshchandar et
al., 2002a) and the basic products being offered and, as such, explains the “what” of a
service (Brogowicz et al., 1990). Core service has features that shape and distinguish
Automated service quality, customer satisfaction and their relationship with financial performance
7
service quality from one service provider to another (Rust and Oliver, 1994; Schneider
and Bowen, 1995). It is an essential component of automated service (Riel et al., 2001),
as the product offerings and product information represent a set of elements that can have
a positive impact on automated service satisfaction levels (Szymanski and Hise, 2000).
Product innovation and knowledge development factors also have a significant effect on
the success of automated delivery channels (Hway-Boon and Yu, 2003). Therefore,
customer perceptions of the variety of products/services offered by a bank will be
considered as another significant factor shaping overall customer perceptions of
automated service quality. This research establishes five factors that influence
customer perceptions of automated service quality in banking services: ATM service,
internet banking service, telephone banking service, core service, and customer
perception of price.
Relationship between automated service quality and financial performance
Service quality is considered a critical measure of organisational performance. It
remains the most important issue in both the marketing literature generally, and service
marketing literature specifically (Jensen and Markland, 1996). The relationship between
service quality and financial performance has been extensively investigated theoretically
and empirically over the past few years in the traditional banking service context
(Bloemer et al., 1998; Cronin and Taylor, 1992; Sureshchandar et al., 2002a; Yavas et al.,
1997).
The literature indicates that profit-oriented service organisations and academic
researchers see service quality as a key driver of profit (Mukherjee et al., 2003).
However, few studies have explored the direct positive link between service quality and
Automated service quality, customer satisfaction and their relationship with financial performance
8
organisational performance in the traditional service context (Duncan and Elliott, 2002;
Yasin et al., 2004). Furthermore, this relationship has not been empirically investigated in
the automated banking context. The viability of automated banking depends upon its
profitability and research has linked the success or failure of automated banking with
service quality (Santos, 2003). Since automated banking quality impacts on the attraction
of bank customers and permits banks to cut costs sharply (Mols, 1998), the quality of the
automated banking services contributes to the improvement of profitability (Moutinho
and Smith, 2000). Therefore, with respect to the effect of automated service quality on
bank profitability, it can be expected that in an automated banking service context,
service quality is positively related to bank financial performance.
Customer Satisfaction
Customer satisfaction is generally defined as a feeling or judgment by customers
towards products or services after they have used them (Jamal and Naser, 2003).
Customer satisfaction in service industries has been approached in two ways; satisfaction
as a function of disconfirmation, and as a function of perception (Davis and Heineke,
1998).
The confirmation/disconfirmation paradigm views customer satisfaction judgments
as the result of consumer perceptions of the gap between their expectation and perception
of actual performance (Parasuraman et al., 1994; Oliver, 1981). However, the
disconfirmation theory has been increasingly criticised by many marketing scholars
(Churchill and Suprenant, 1982; Teas, 1994). In particular, the latter author argued that
the different definitions of expectations and the difficulties with measurement
operationalisation have undermined these models which used
Automated service quality, customer satisfaction and their relationship with financial performance
9
expectation concepts. Thus, there was no consistency in operationalising the expectation
part of customer satisfaction in the literature. Some authors have considered that neither
disconfirmation nor expectation had any effect on customer satisfaction (Cronin and
Taylor, 1994; Churchill and Suprenant, 1982). Some researchers demonstrated a direct
link between actual performance and satisfaction levels (Cadott et al., 1987). However, to
avoid the debate surrounding the nature of the expectation concept in measuring customer
satisfaction, this research has followed an alternative approach, which initially depended
on customers’ actual evaluations of satisfaction, rather than on the gap between
perception and expectations (Cronin and Taylor, 1994; Teas, 1994).
Relationship between customer satisfaction and financial performance
Achieving customer satisfaction is a vital target for most service firms today (Jones
and Sasser, 1995) as it leads to improved profits, word-of-mouth, and less marketing
expenditure (Reichheld, 1996; Yeung et al., 2002). Many empirical studies in the
literature have found a positive relationship between customer satisfaction and financial
performance (Wiele et al., 2002; Yeung et al., 2002; Anderson et al., 1994).
However, the authors found no studies pertaining specifically to financial
institutions. Accordingly, this study will also contribute to knowledge by investigating
this relationship within the automated service quality and banking context. Thus we can
say that in an automated banking service context, customer satisfaction is positively
related to financial performance.
Financial performance
Performance is the outcome of all of the organisation’s operations and strategies
(Wheelen and Hunger, 2002). Measuring performance accurately is critical for
Automated service quality, customer satisfaction and their relationship with financial performance
10
accounting purposes and remains a central concern for most organisations. Performance
measurement systems provide the foundation to develop strategic plans, assess an
organisation’s completion of objectives, and remunerate mangers (Ittner and Larcker,
1998).
Although assessment of performance in the marketing literature is still very
important, it is also complicated (Pont and Shaw, 2003). While consensual measurement
of performance promotes scholarly investigations and can clarify managerial decisions,
marketers have not been able to find clear, current and reliable measures of performance
on which marketing merit could be judged. Two approaches have been adopted in the
literature to measure financial performance.
The first subjectively measures the performance of firms based on their own evaluation
and expectations or comparison with their competitors. The second is objective, based on
the absolute measure of performance such as financial ratios (Appiah-Adu, 1998).
In this study, both measures were used (Pont and Shaw, 2003) because
• Other studies adopting the two approaches found a strong association between
objective and subjective measures of performance.
• Subjective performance measures have been found to be reasonably reliable and
are widely used in international marketing and strategy literature.
• The sole use of objective performance measures, such as growth, is not an
accurate measure of firm performance (Dawes, 1999).
A combination of the two approaches maximises the advantages and overcomes the
weaknesses associated with using one only.
Automated service quality, customer satisfaction and their relationship with financial performance
11
RESEARCH QUESTIONS
This study proposes to investigate the following questions:
1) Is there any significant relationship between Automated Service Quality (ATM,
Telephone Banking, Internet Banking, Price, and Core Service) and the Financial
Performance of a bank in the context of Bank Asia?
2) Is there any significant relationship between Customer Satisfaction and the
Financial Performance of a bank in the context of Bank Asia?
RESEARCH HYPOTHESES
The hypotheses derived from research questions are as follows:
1) There is a significant relationship between Automated Service Quality (ATM,
Telephone Banking, Internet Banking, Price, and Core Service) and the Financial
Performance of a bank in the context of Bank Asia.
2) There is a significant relationship between Customer Satisfaction and the
Financial Performance of a bank in the context of Bank Asia.
CONCEPTUAL FRAMEWORK
Automated Service Quality
ATM Telephone Banking Internet Banking
Price Core Service
Financial Performance
Customer Satisfaction
Automated service quality, customer satisfaction and their relationship with financial performance
12
OPERATIONAL DEFINITION
Measured Variables Operational Definitions
ATM Operationally defined by the Joseph & Stone (2003)
Telephone Banking Operationally defined by the Joseph & Stone (2003)
Internet Banking Operationally defined by the Jun & Cai (2001)
Price Core Service
Operationally defined by the Colgate & Hedge (2001)
Operationally defined by Sureshchandar et al. (2002a)
Customer Satisfaction Financial Performance
Operationally defined by Sureshchandar et al. (2002b)
Operationally defined by Duncan & Elliot (2002, 2004)
Table: Operational Definition of Measured Variables
RESEARCH METHODOLOGY
Research Design
The conceptual framework illustrates the name of research variables and relationship
within them. In this study, the researchers are going to investigate the relationship
between automated service quality and customer satisfaction with the financial
performance of the bank in the context of Bank Asia.
Research that studies the relationship between two or more variables is also referred
to as a co relational study (Cooper & Schindler, 2003). That is why a co relational
research design has been selected in order to find out the appropriate answers of the
research questions and to test the hypotheses. The model also suggests this type of
Automated service quality, customer satisfaction and their relationship with financial performance
13
design. Here, financial performance is considered as the dependent variable, whereas
automated service quality and customer satisfaction are considered as independent
variable.
To gather data on the research questions, the researchers used questionnaire. The
rationale behind using questionnaire to collect data is:
1) It takes less time to fill up a questionnaire. Therefore, the customers will not be
reluctant in providing accurate data.
2) Personal interview is both time and cost consuming.
3) The data gathered through questionnaire is easy to put in quantitative analysis.
Therefore, questionnaire is the most useful method to collect data for this study.
Sampling Method
There were two different types of population for this study. For this proposed study
the first population was the employees of Bank Asia Ltd. Another population was the
account holders of Bank Asia Ltd.
The sampling frame for the employees was the official register of the employees.
The researcher used systematic sampling to collect the sample for this study. In most of
the previous researches conducted on employees the researcher had used this type of
sampling (Piercy, 1995; Calleya, & Caruana, 1998). The sample size was 100 as in the
previous research which was conducted on the financial performance of banks the
researcher has chosen a sample size of 100 and found effective match (Al-Hawari &
Ward, 2005). Again, in this research the researcher used sample size of 100 because of
time limitation.
Automated service quality, customer satisfaction and their relationship with financial performance
14
The researcher used convenient sampling to collect the second sample. A sample
consisting of 100 individual account holders of Bank Asia Ltd were selected. The reason
behind choosing non-probability sampling is that:
1) If the researcher would have gone for probability sampling for the customers, then
a sample frame would have been needed to collect and from the list, a sample would have
been drawn, which might have been larger enough to meet reasonable time and given
cost. According to Cooper and Schindler (2003), “Cost considerations influence
decisions about the size and type of sample and also the data collection methods.
2) The current researchers are going to extend the study of Al-Hawari and Ward
(2005) in which the previous researchers use the sample size of 100 and find appropriate
results as predicted. Therefore, the current researchers feel the sample size of 100 is safe
to implicate in this research. This was mainly done considering the time and cost factors
behind the research conducted.
Survey Instrument
To gather data the researcher used questionnaires. The questionnaire survey is the
most effective method for this study to collect data for this for the following reasons-
1. Respondent’s anonymity can be maintained.
2. The researcher conducted survey on a total of 200 respondents. It was not
possible to conduct personal interview because of time limitation. Therefore,
questionnaire survey was the most appropriate one for this study.
Structured questionnaires were used in this research to collect data from the
customers. In the questionnaire which was developed, there were six sections such as,
ATM, telephone banking, internet banking, price, core service and customer satisfaction.
Automated service quality, customer satisfaction and their relationship with financial performance
15
ATM was measured by using 4 items developed by Joseph & Stone (2003). Telephone
banking was measured by using 6 items developed by Joseph & Stone (2003). Internet
Banking was measured by using 6 items developed by Jun & Cai (2001). Price was
measured by using 4 items developed by Colgate & Hedge (2001). Core Service was
measured by using 4 items developed by Sureshchandar et al. (2002a). Customer
Satisfaction was measured by using 4 items developed by Sureshchandar et al. (2002b).
All the variables were measured using a 5 point likert scale.
Data Collection Procedure
The present research is a unique one for Bank Asia Gulshan Branch. As a result,
secondary sources of data were not available for the present study. Therefore, the
researcher required primary data to investigate the research questions. To collect data
from the primary sources, the researcher thus used questionnaire survey method.
Data Analysis
Pearson’s Co relational analysis was used to find out whether any relationship exists
between the independent and dependent variables. Correlation analysis is the statistical
tool that can be used to describe the degree to which one variable is linearly related to
another (Levin & Rubin, 1998).
After collecting the data, correlation matrix for the variables were prepared and the
researcher looked for significant correlations. The researcher used Stepwise regression to
test the strength of associations between the study variables.
The Statistical Package for Social Science (SPSS) software was employed to analyze
the data collected from the actual survey.
Automated service quality, customer satisfaction and their relationship with financial performance
16
Results
Reliability Coefficient and Descriptive Statistics
The reliability coefficients, means and standard deviations of all the constructs in the
current study are displayed in Table 2. The coefficient alphas for the different constructs
were computed using the reliability procedure in SPSS (version 12.0). Nunally (1978)
suggested that for early stages of any research the reliability of .50-.60 is sufficient. The
reliabilities of all the constructs in this study found to be above the standard set by
Nunally (1978).
Table 2
Reliability Coefficient and Descriptive Statistics of Automated Service Quality (ATM, Telephone Banking, Internet Banking, Price, and Core Service), Customer Satisfaction, and Financial Performance
Scale Number of
Items
Alpha M SD
ATM 4 0.824 3.5800 .68154
Telephone Banking 6 0.659 3.4533 0.51251
Internet Banking 6 0.531 3.2517 0.50613
Price 4 0.787 3.1675 0.78981
Core Service 4 0.652 3.3675 0.74489
Customer Satisfaction 4 0.751 3.1650 0.70641
Financial Performance 4 0.533 3.2200 0.59382
Note: n = 100
Mean scores have been computed by equally weighting the mean scores of all the
items. On a five-point scale, the mean score for ATM is 3.58 (sd = 0.68). The mean score
Automated service quality, customer satisfaction and their relationship with financial performance
17
for Telephone Banking is 3.45 (sd = 0.51). The mean score for Internet Banking is 3.25
(sd = 0.50). The mean score for Price is 3.2 (sd = 0.79). The mean score for Core Service
is 3.37 (sd = 0.74).
The mean scores of Automated Service Quality of Bank Asia range from 3.16 – 3.58
indicating that consumers’ perception about the automated service quality of Bank Asia is
above average. The mean score or Customer Satisfaction is 3.16 (sd = 0.70). It suggests
that these customers are more or less satisfied with Bank Asia.
The mean score for the Financial Performance is 3.22 (sd = 0.59). It suggests that the
financial performance of Bank Asia is portrays an acceptable level.
Correlation analysis
A correlation analysis was conducted on all variables to explore the relationship
between variables. Table 3 depicts the bivariate correlation procedure with a two tailed
statistical significance at two different levels, highly significant (p<.01) and significant
(p<.05).
Table 3 Correlation Matrix for Automated Service Quality (ATM, Telephone Banking, Internet Banking, Price, and Core Service), Customer Satisfaction, and Financial Performance
ATM Tele Banking
Int. Banking
Price Core Service
Cust. Sat.
Financial Per.
ATM 1 .657(**) .196 .301(**) -.112 .475(**) .435(**)
Telephone Banking
1 .197(*) .356(**) .153 .486(**) .434(**)
Internet Banking 1 .134 -.013 .125 .349(**)
Price 1 -.071 .539(**) .645(**)
Core Service 1 -.083 .134
Automated service quality, customer satisfaction and their relationship with financial performance
18
Customer Satisfaction
1 .597(**)
Financial Performance 1
Note: *p < .05, **p < .01. The result of correlation analysis for all the variables is shown in Table 3. It
examines the correlations among Automated Service Quality (ATM, Telephone Banking,
Internet Banking, Price, and Core Service), Customer Satisfaction, and Financial
Performance of Bank Asia. According to Rowntree (1981) the the classification of the
correlation “r” is as follows:
0.0 to 0.2 Very weak, negligible
0.2 to 0.4 Weak, low
0.4 to 0.7 Moderate
0.7 to 0.9 Strong, high, marked
0.9 to 1.0 Very strong, very high
It helps interpreting the strength of relationships between variables. The variables,
which had a statistical significant correlation with ATM were Telephone Banking (r =
0.66, p< .01), Price (r = 0.30, p< .01), Customer Satisfaction (r = 0.47, p< .01) and
Financial Performance (r = 0.43, p< .01). Telephone Banking, Customer Satisfaction and
Financial Performance had a moderate correlation with ATM, whereas Price portrayed a
weak correlation with ATM in Bank Asia. Telephone Banking was found to be
significantly correlated with Internet Banking (r = 0.19, p< .05), Price (r = 0.36, p < .01),
customer satisfaction (r = 0.49, p< .01), and Financial Performance (r = 0.43, p< .01).
Customer Satisfaction and Financial Performance of the bank had a moderate correlation
with Telephone Banking. On the other hand Price and Internet Banking predicted weak
Automated service quality, customer satisfaction and their relationship with financial performance
19
and very weak correlation with Telephone Banking simultaneously. The variable
significantly correlated with Internet Banking was Financial Performance (r = 0.35, p<
.01) and it illustrated a weak correlation. Price had a significant and moderate correlation
with Customer Satisfaction (r = 0.54, p< .01), and Financial Performance (r = 0.64, p<
.01). Customer Satisfaction was significantly and moderately correlated with Financial
Performance (r = 0.59, p< .01).
In the case of Core Service no significant correlation was being found with all the
other variables of the organization.
Regression analysis
Both stepwise and entered regression were conducted to asses the relationship
between the study variables.
Stepwise regression
A stepwise regression analysis was performed to identify the relationship between
automated service quality (ATM, Telephone Banking, Internet Banking, Price, and Core
Service), customer satisfaction, and financial performance of Bank Asia.
Table 4 Stepwise regression on Financial Performance Variables B SE B β R2 ∆R Step 1 0.416
(Constant) 1.684 Price 0.485 0.645 0.645
Step 2 0.504 0.088
(Constant) 1.200 0.211 Price 0.342 0.064 0.455
Customer Satisfaction 0.296 0.071 0.352
Step 3
0.564
0.06
Automated service quality, customer satisfaction and their relationship with financial performance
20
(Constant) 0.353 0.305 Price 0.325 0.060 0.432
Customer Satisfaction 0.280 0.067 0.333
Internet Banking 0.293 0.080 0.249
Step 4 0.603 0.039
(Constant) -0.226 0.349 Price 0.330 0.058 0.439
Customer Satisfaction 0.290 0.065 0.346
Internet Banking 0.293 0.077 0.250
Core Service 0.157 0.052 0.197 Step 5 0.620 0.017
(Constant) -0.457 0.362 Price 0.325 0.057 0.432
Customer Satisfaction 0.237 0.069 0.282
Internet Banking 0.269 0.076 0.229
Core Service 0.166 0.051 0.208 ATM 0.130 0.064 0.150
Table 4 represents Price, Customer Satisfaction, Internet Banking, Core Service, and
ATM to have a statistical significant relationship with Financial Performance. Telephone
Banking was excluded from the above regression as it had little or no significant
relationship with Financial Performance. For every additional unit of Price, keeping all
the other variables constant, Financial performance will increase by 0.432 units.
The variable with the most significant relation with financial performance is shown
in Step 1 (Price), which has a coefficient of 0.645. Thus interpreting that, for every
additional unit of Price the Financial performance of the Bank will increase by 0.645
Automated service quality, customer satisfaction and their relationship with financial performance
21
units. The constant suggests that in the first step if Price is zero Financial performance
will be 1.684.
Simultaneously in Step 5 we see all the five variables which has a significant relation
with financial performance. The coefficients (Table 4) here suggest that for every
additional unit of Price, keeping all the other predictors constant, Financial performance
will increase by 0.432 units. Again, for every additional unit of Customer Satisfaction,
keeping all the other predictors constant, Financial performance will increase by 0.282
units. For every additional unit of Internet Banking, keeping all the other predictors
constant, Financial performance will increase by 0.229 units. For every additional unit of
Core Service, keeping all the other predictors constant, Financial performance will
increase by 0.208 units. For every additional unit of ATM, keeping all the other
predictors constant, Financial performance will increase by 0.150 units.
The constant suggests that when all the predictors in step 5 are zero Financial
performance will be – 0.457.
Thus the five predictors together explained 62% of the variance in Financial
Performance. Price, Customer Satisfaction, Internet Banking, Core Service, and ATM
explained about 41.6%, 8.8%, 6%, 3.9% and 1.7% of the Financial Performance
respectively.
Standardized (simultaneous) analysis:
Entered (simultaneous) regression analysis was performed to identify the relationship
between automated service quality (ATM, Telephone Banking, Internet Banking, Price,
and Core Service), customer satisfaction, and financial performance of Bank Asia.
Automated service quality, customer satisfaction and their relationship with financial performance
22
Table 5 Standardized (Simultaneous) Regression on Financial Performance Variable B SE B β R2 .622 (Constant) -.409 .369 ATM .164 .079 .189 Telephone Banking -.081 .109 -.070 Internet Banking .274 .077 .233 Price .330 .058 .439 Core Service .179 .054 .224 Customer Satisfaction .248 .071 .295
Table 5 depicts that in Bank Asia apart from Telephone Banking the other five
predictors; Price, Customer Satisfaction, Internet Banking, Core Service, and ATM were
found to be statistically significantly related with Financial Performance. Significantly
related five predictors together explained 62%.
Assessment of the research hypothesis
Hypothesis 1:
“There is a significant relationship between Automated Service Quality (ATM,
Telephone Banking, Internet Banking, Price, and Core Service) and the Financial
Performance of a bank in the context of Bank Asia.”
The result of the correlational analysis states that the Automated Service Quality
(ATM, Telephone Banking, Internet Banking, and Price) in Bank Asia was significantly
correlated with their Financial Performance (r = 0.435, r = 0.434, r = 0.349, r = 0.645; p<
.01).
The stepwise regression analysis depicts that in Bank Asia Ltd, Automated Service
Quality (Price, Internet Banking, Core Service, and ATM) was found to be statistically
significantly related with Financial Performance. Price, Internet Banking, Core Service,
Automated service quality, customer satisfaction and their relationship with financial performance
23
and ATM explained 41.6%, 6%, 3.9%, and 1.7% respectively of the Financial
Performance in Bank Asia.
The result of the standardized regression depicts that Automated Service Quality
(ATM, Internet Banking, Price, and Core Service) is positively and significantly
associated with the Financial Performance in Bank Asia. Thus all the results were in
favor of hypothesis 1 and provide support to it.
Hypothesis 2:
“There is a significant relationship between Customer Satisfaction and the Financial
Performance of a bank in the context of Bank Asia”
The result of the correlational analysis states that the Customer Satisfaction was
positively and significantly correlated with their Financial Performance (r = 0.597, p<
.01).
The stepwise regression analysis depicts that in Bank Asia Customer Satisfaction
was found to be statistically significantly related with Financial Performance. Service
Customer Satisfaction explains 8.8% of the Financial Performance in Bank Asia.
The result of the standardized regression depicts that Customer Satisfaction is
positively and significantly associated with Financial Performance in Bank Asia. Thus all
the results were in favor of hypothesis 2 and provide support to it.
LIMITATIONS OF THE STUDY
A limitation of this study is the mix of longitudinal (financial performance) and
cross-sectional (service quality and satisfaction) data. It is difficult to avoid this problem
because of the time limitation. Ideally service quality and satisfaction should be tracked
over the same period as financial performance. However, this limitation had little impact
Automated service quality, customer satisfaction and their relationship with financial performance
24
on results due to the absence of a significant difference among ratios over the five-year
span, reflecting the stability and validity of these ratios.
This paper presents an initial phase of a sustainable research program and as such has
limited itself in terms of research design. First of all, researchers have limited access to
the related literature review due to lack of journals available on the measured variables.
As a result, researchers have limited resources to deal with. Second, data collection is
restricted within Dhaka city only, which may fail to represent the factual scenario of the
relationship between measured variable. Finally, this research was limit to Bank Asia
Gulshan Branch only rather than whole banking sector of Bangladesh. So the researchers
did not have the view on total banking sector of this country, which limits the
generalization of the findings.
SIGNIFICANCE OF THE STUDY
This study is significant for the following reasons: -
1) The findings of this research effort may have practical implications for service
providers that strive to organize their service offerings in order to accomplish their
corporate objectives.
2) The study will help or assist companies to enhance their understanding of the
actual employee service quality to the response to their work climate, so it will be easy
for the companies to make decision regarding internal marketing.
3) This research may encourage further study and provide useful guidelines for these
types of researches.
Automated service quality, customer satisfaction and their relationship with financial performance
25
RECOMMENDATION
It is apparent that the availability of information on web sites (content), accuracy of
online transactions, ease of use, provision of updated information (timeliness),
attractiveness of bank web sites (aesthetics), and security are not the only attributes that
influence customer satisfaction. Accordingly, it is necessary for bank-marketing
strategists to find the other attributes that customers use to judge service quality, such as
navigational and visual characteristics (D’Angelo and Little, 1998), feedback and product
list sections (Lohse and Spiller, 1999), and playfulness (Liu and Arnett, 2000). Moreover,
responding more quickly to customers’ needs and providing customers with the
opportunity to help themselves via web links are other aspects which could improve
standards of internet banking quality. By doing so, banks should be more able to help
customers participate, learn and act, enjoy good two-way communication, and have a
pleasant and enjoyable experience (Rao, 2002).
Ultimately, the main focus of attention for management should be on customer
satisfaction. Identification of the various factors, besides automated service quality, is
critical to overall customer satisfaction. These factors could include traditional service
quality, value, trust, bank reputation, and image (Bloemer et al., 1998; Nguyen and
Leblanc, 1998; Ranaweera and Prabhu, 2003). A better understanding of the sequence of
the relationship between automated service quality, satisfaction, and bank profitability
could help ensure clearer targeting of limited marketing resources (Caruana, 2002). That
is a marketing planning issue.
Finally, bank mangers need to remain up to date with future trends; in other words,
they need marketing intelligence. If automated service quality converges and becomes a
Automated service quality, customer satisfaction and their relationship with financial performance
26
standard and non-differentiated attribute among all banks, it will be easy for customers to
compare and switch from one bank to another (Evans and Wurster, 1997). If so, it will be
difficult for banks to maximize their profits out of the quality aspects of automated
services.
CONCLUSION
In view of the findings, the provision of high standards of automated service quality
and maintaining a significant level of customer satisfaction will lead to improved
financial performance. While this research found that telephone banking had no or little
significant relationship with financial performance, improvement in the quality aspects of
this dimension could enhance overall satisfaction and in turn may boost the financial
performance of Bank Asia Ltd. Finally, this research will encourage further study and
useful guidelines for these types of researches.
TIMELINE FOR THE PROPOSAL WRITING
2006 June Research proposal writing and literature review
2006 July Data collection procedure
2006 August 01 Data analysis and interpretation of findings
2006 August 15 Final redraft of complete manuscript.
2006 August 24 Submission of research paper
Automated service quality, customer satisfaction and their relationship with financial performance
27
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Appendix 1
Research Questionnaire for the Account Holders
Automated service quality, customer satisfaction and their relationship with financial performance
37
Scale items
Question items concerning ATM
1
2
3
4
5
Strongly
Disagree
Disagree
Neither Agree
Nor Disagree
Agree
Strongly Agree
1.
Bank Asia has significant numbers of ATM Booths.
1
2
3
4
5
2.
The ATM Booths are at secure locations.
1
2
3
4
5
3.
The ATM has a user friendly system.
1
2
3
4
5
4.
The ATM functions all the time.
1
2
3
4
5
Automated service quality, customer satisfaction and their relationship with financial performance
38
Question items concerning Telephone Banking
1
2
3
4
5
Strongly
Disagree
Disagree
Neither Agree
Nor Disagree
Agree
Strongly Agree
1.
You are exposed to a pleasant musical background.
1
2
3
4
5
2.
There are reasonable numbers of voice prompts.
1
2
3
4
5
3.
The waiting time is short.
1
2
3
4
5
4.
The instructions are clear.
1
2
3
4
5
5.
You find the system reliable.
1
2
3
4
5
6.
There are sufficient telephone banking options.
1
2
3
4
5
Automated service quality, customer satisfaction and their relationship with financial performance
39
Question items concerning Internet Banking
1
2
3
4
5
Strongly
Disagree
Disagree
Neither Agree
Nor Disagree
Agree
Strongly Agree
1.
All needed information are available at the Bank Asia
website.
1
2
3
4
5
2.
It is easy to use.
1
2
3
4
5
3.
The site provides security.
1
2
3
4
5
4.
Transactions are error free.
1
2
3
4
5
5.
The website is attractive.
1
2
3
4
5
6.
Information are up to date
1
2
3
4
5
Automated service quality, customer satisfaction and their relationship with financial performance
40
Question items concerning Price
1
2
3
4
5
Strongly
Disagree
Disagree
Neither Agree
Nor Disagree
Agree
Strongly Agree
1.
Service charges are adequately explaining.
1
2
3
4
5
2.
The fees are acceptable.
1
2
3
4
5
3.
The fees are competitive.
1
2
3
4
5
4.
Bank statements provide clear understanding of the
service charges.
1
2
3
4
5
Automated service quality, customer satisfaction and their relationship with financial performance
41
Question items concerning Core Service
1
2
3
4
5
Strongly
Disagree
Disagree
Neither Agree
Nor Disagree
Agree
Strongly Agree
1.
The Bank provides wide range of services.
1
2
3
4
5
2.
The service features are diverse.
1
2
3
4
5
3.
Most of the service options are available.
1
2
3
4
5
4.
The Bank follows the most advanced technology.
1
2
3
4
5
Automated service quality, customer satisfaction and their relationship with financial performance
42
Question items concerning Customer Satisfaction
1
2
3
4
5
Strongly
Disagree
Disagree
Neither Agree
Nor Disagree
Agree
Strongly Agree
1.
You ate satisfied with the staff of Bank Asia.
1
2
3
4
5
2.
You are satisfied with the physical surrounding of Bank
Asia.
1
2
3
4
5
3.
The Bank fees are satisfactory.
1
2
3
4
5
4.
The delivery service process meets your needs.
1
2
3
4
5
Automated service quality, customer satisfaction and their relationship with financial performance
43
Appendix 2
Research Questionnaire for the Employees
Automated service quality, customer satisfaction and their relationship with financial performance
44
Question items concerning Financial Performance
1
2
3
4
5
Strongly
Disagree
Disagree
Neither Agree
Nor Disagree
Agree
Strongly Agree
1.
Asset utilization of Bank Asia is satisfactory
1
2
3
4
5
2.
The Return on Asset for Bank Asia is satisfactory
1
2
3
4
5
3.
The Return on Equity for Bank Asia is satisfactory
1
2
3
4
5
4.
The business level at which Bank Asia stands is
satisfactory
1
2
3
4
5
Automated service quality, customer satisfaction and their relationship with financial performance
45
Appendix 3
SPSS Outputs
Automated service quality, customer satisfaction and their relationship with financial performance
46
Reliability (ATM) Warnings
The space saver method is used. That is, the covariance matrix is not calculated or used in the analysis.
Case Processing Summary N %
Valid 100 100.0Excluded(a) 0 .0
Cases
Total 100 100.0a Listwise deletion based on all variables in the procedure. Reliability Statistics
Cronbach's Alpha N of Items
.824 4
Reliability (TELEPHONE BANKING) Warnings
The space saver method is used. That is, the covariance matrix is not calculated or used in the analysis.
Case Processing Summary N %
Valid 100 100.0Excluded(a) 0 .0
Cases
Total 100 100.0a Listwise deletion based on all variables in the procedure. Reliability Statistics
Cronbach's Alpha N of Items
.659 6
Automated service quality, customer satisfaction and their relationship with financial performance
47
Reliability (INTERNET BANKING) Warnings
The space saver method is used. That is, the covariance matrix is not calculated or used in the analysis.
Case Processing Summary N %
Valid 100 100.0Excluded(a) 0 .0
Cases
Total 100 100.0a Listwise deletion based on all variables in the procedure. Reliability Statistics
Cronbach's Alpha N of Items
.531 6
Reliability (PRICE) Warnings
The space saver method is used. That is, the covariance matrix is not calculated or used in the analysis.
Case Processing Summary N %
Valid 100 100.0Excluded(a) 0 .0
Cases
Total 100 100.0a Listwise deletion based on all variables in the procedure. Reliability Statistics
Cronbach's Alpha N of Items
.787 4
Automated service quality, customer satisfaction and their relationship with financial performance
48
Reliability (CORE SERVICE) Warnings
The space saver method is used. That is, the covariance matrix is not calculated or used in the analysis.
Case Processing Summary N %
Valid 100 100.0Excluded(a) 0 .0
Cases
Total 100 100.0a Listwise deletion based on all variables in the procedure. Reliability Statistics
Cronbach's Alpha N of Items
.652 4
Reliability (CUSTOMER SATISFACTION) Warnings
The space saver method is used. That is, the covariance matrix is not calculated or used in the analysis.
Case Processing Summary N %
Valid 100 100.0Excluded(a) 0 .0
Cases
Total 100 100.0a Listwise deletion based on all variables in the procedure. Reliability Statistics
Cronbach's Alpha N of Items
.751 4
Automated service quality, customer satisfaction and their relationship with financial performance
49
Reliability (FINANCIAL PERFORMANCE) Warnings
The space saver method is used. That is, the covariance matrix is not calculated or used in the analysis.
Case Processing Summary N %
Valid 100 100.0Excluded(a) 0 .0
Cases
Total 100 100.0a Listwise deletion based on all variables in the procedure. Reliability Statistics
Cronbach's Alpha N of Items
.533 4
Descriptives Descriptive Statistics N Minimum Maximum Mean Std. Deviation ATM 100 1.75 4.75 3.5800 .68154 Telephone Banking 100 2.17 4.67 3.4533 .51251 Internet Banking 100 2.17 4.67 3.2517 .50613 Price 100 1.50 5.00 3.1675 .78981 Core Service 100 1.50 4.75 3.3675 .74489 Customer Satisfaction 100 1.25 4.75 3.1650 .70641 Financial Performance 100 2.00 4.75 3.2200 .59382 Valid N (listwise) 100
Automated service quality, customer satisfaction and their relationship with financial performance
50
Correlation
** Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed).
ATM Telephone Banking
Internet Banking Price
Core Service
Customer Satisfaction
Financial Performance
ATM Pearson Correlation 1 .657(**) .196 .301(**) -.112 .475(**) .435(**)
Sig. (2-tailed) . .000 .051 .002 .267 .000 .000 N 100 100 100 100 100 100 100 Telephone Banking
Pearson Correlation .657(**) 1 .197(*) .356(**) .153 .486(**) .434(**)
Sig. (2-tailed) .000 . .049 .000 .128 .000 .000 N 100 100 100 100 100 100 100 Internet Banking
Pearson Correlation .196 .197(*) 1 .134 -.013 .125 .349(**)
Sig. (2-tailed) .051 .049 . .185 .895 .215 .000 N 100 100 100 100 100 100 100 Price Pearson
Correlation .301(**) .356(**) .134 1 -.071 .539(**) .645(**)
Sig. (2-tailed) .002 .000 .185 . .481 .000 .000 N 100 100 100 100 100 100 100 Core Service
Pearson Correlation -.112 .153 -.013 -.071 1 -.083 .134
Sig. (2-tailed) .267 .128 .895 .481 . .413 .185 N 100 100 100 100 100 100 100 Customer Satisfaction
Pearson Correlation .475(**) .486(**) .125 .539(**) -.083 1 .597(**)
Sig. (2-tailed) .000 .000 .215 .000 .413 . .000 N 100 100 100 100 100 100 100 Financial Performance
Pearson Correlation .435(**) .434(**) .349(**) .645(**) .134 .597(**) 1
Sig. (2-tailed) .000 .000 .000 .000 .185 .000 . N 100 100 100 100 100 100 100
Regression (STEP WISE) Variables Entered/Removed(a)
Model Variables Entered
Variables Removed Method
1
Price .
Stepwise (Criteria:
Probability-of-F-to-enter <=
.050, Probability
-of-F-to-remove >=
.100).
2
Customer Satisfaction .
Stepwise (Criteria:
Probability-of-F-to-enter <=
.050, Probability
-of-F-to-remove >=
.100).
3
Internet Banking .
Stepwise (Criteria:
Probability-of-F-to-enter <=
.050, Probability
-of-F-to-remove >=
.100).
4
Core Service .
Stepwise (Criteria:
Probability-of-F-to-enter <=
.050, Probability
-of-F-to-remove >=
.100).
Automated service quality, customer satisfaction and their relationship with financial performance
52
5
ATM .
Stepwise (Criteria:
Probability-of-F-to-enter <=
.050, Probability
-of-F-to-remove >=
.100).
a Dependent Variable: Financial Performance Model Summary
a Predictors: (Constant), Price b Predictors: (Constant), Price, Customer Satisfaction c Predictors: (Constant), Price, Customer Satisfaction, Internet Banking d Predictors: (Constant), Price, Customer Satisfaction, Internet Banking, Core Service e Predictors: (Constant), Price, Customer Satisfaction, Internet Banking, Core Service, ATM Coefficients(a)
Unstandardized Coefficients
Standardized Coefficients
Model B Std. Error Beta t Sig. (Constant) 1.684 .189 8.891 .0001 Price .485 .058 .645 8.351 .000
2 (Constant) 1.200 .211 5.691 .000Price .342 .064 .455 5.355 .000Customer Satisfaction .296 .071 .352 4.142 .000
3 (Constant) .353 .305 1.160 .249Price .325 .060 .432 5.380 .000
Model R R Square Adjusted R
Square Std. Error of the Estimate Change Statistics
R Square Change F Change df1 df2
Sig. F Change
1 .645(a) .416 .410 .45619 .416 69.746 1 98 .0002 .710(b) .504 .493 .42268 .088 17.156 1 97 .0003 .751(c) .564 .551 .39797 .061 13.421 1 96 .0004 .776(d) .603 .586 .38198 .038 9.205 1 95 .0035 .787(e) .620 .599 .37582 .017 4.139 1 94 .045
Automated service quality, customer satisfaction and their relationship with financial performance
53
Customer Satisfaction .280 .067 .333 4.157 .000
Internet Banking .293 .080 .249 3.663 .000
4 (Constant) -.226 .349 -.647 .519Price .330 .058 .439 5.699 .000Customer Satisfaction .290 .065 .346 4.485 .000
Internet Banking .293 .077 .250 3.818 .000
Core Service .157 .052 .197 3.034 .0035 (Constant) -.457 .362 -1.263 .210
Price .325 .057 .432 5.691 .000Customer Satisfaction .237 .069 .282 3.437 .001
Internet Banking .269 .076 .229 3.524 .001
Core Service .166 .051 .208 3.240 .002ATM .130 .064 .150 2.034 .045
a Dependent Variable: Financial Performance Excluded Variables(f)
Collinearity Statistics
Model Beta In t Sig. Partial
Correlation Tolerance ATM .265(a) 3.449 .001 .331 .909Telephone Banking .234(a) 2.935 .004 .286 .873
Internet Banking .268(a) 3.642 .000 .347 .982
Core Service .181(a) 2.388 .019 .236 .995
1
Customer Satisfaction .352(a) 4.142 .000 .388 .709
ATM .170(b) 2.123 .036 .212 .772Telephone Banking .134(b) 1.633 .106 .164 .751
Internet Banking .249(b) 3.663 .000 .350 .978
2
Core Service .197(b) 2.838 .006 .278 .9923 ATM .130(c) 1.692 .094 .171 .754
Telephone Banking .093(c) 1.191 .237 .121 .734
Core Service .197(c) 3.034 .003 .297 .9924 ATM .150(d) 2.034 .045 .205 .749
Telephone Banking .043(d) .550 .584 .057 .695
5 Telephone Banking -.070(e) -.751 .455 -.078 .463
a Predictors in the Model: (Constant), Price b Predictors in the Model: (Constant), Price, Customer Satisfaction c Predictors in the Model: (Constant), Price, Customer Satisfaction, Internet Banking d Predictors in the Model: (Constant), Price, Customer Satisfaction, Internet Banking, Core Service e Predictors in the Model: (Constant), Price, Customer Satisfaction, Internet Banking, Core Service, ATM f Dependent Variable: Financial Performance
Automated service quality, customer satisfaction and their relationship with financial performance
54
Regression (SIMULTANEOUS) Variables Entered/Removed(b)
Model Variables Entered
Variables Removed Method
1 Customer
Satisfaction, Core
Service, Internet
Banking, ATM, Price, Telephone Banking(a)
. Enter
a All requested variables entered. b Dependent Variable: Financial Performance Model Summary
Model R R Square Adjusted R
Square Std. Error of the Estimate Change Statistics
R Square Change F Change df1 df2
Sig. F Change
1 .789(a) .622 .598 .37670 .622 25.503 6 93 .000a Predictors: (Constant), Customer Satisfaction, Core Service, Internet Banking, ATM, Price, Telephone Banking Coefficients(a)
Unstandardized Coefficients
Standardized Coefficients
Model B Std. Error Beta t Sig. (Constant) -.409 .369 -1.108 .271ATM .164 .079 .189 2.091 .039Telephone Banking -.081 .109 -.070 -.751 .455
Internet Banking .274 .077 .233 3.564 .001
Price .330 .058 .439 5.727 .000Core Service .179 .054 .224 3.300 .001
1
Customer Satisfaction .248 .071 .295 3.510 .001
a Dependent Variable: Financial Performance