Upload
m-raaju-morol
View
220
Download
0
Embed Size (px)
Citation preview
8/8/2019 Report Main Body
1/46
1 | P a g e
1. Introduction
This report-content is a result of a survey conducted at Supersign Cables during fall
semester 2008.Industrial Relation is about people who work and pursue careers today in new and
highly demanding settings. It is about people who seek fulfillment in their lives and
jobs in a variety of ways and in certain times. It is about common themes that now
characterized the modern workplace, including high performance, ethical behavior,
productivity improvement, technology utilization, product and service quality,
workforce diversity, work-life balance, and competitive advantage in a global
economy.
Industrial Relation is the study of individuals and groups in organization regarding
reciprocal interest. People at work in organization today are part of a new era. The
institutions of society and people who make them work are challenged in many and
very special ways. In this new era of work and organizations, the body of knowledge
we call Industrial Relation offer many insights of great value.
1.1 Origin of the Report
Mr. AKM Mominul Haque Talukder, Core faculty of School of Business at North
South University authorized the preparation of this study on October, 2008. Mr.
8/8/2019 Report Main Body
2/46
2 | P a g e
Haques letter of authorization instructed Group 1 to begin work on the study at the
earliest possible time.
This report has been prepared to fulfill the requirement of Industrial Relations (HRM-
410) as a part of its course schedule. This report titled Unpaid Overtime of White-collar Employees at Supersign Cables aims to track the impacts on the company
performance in response to their goals and objectives.
1.2 Objective
Industrial Relation is a useful knowledge base for better work-related understanding
and potential career success within an organization. Our objective was to find out
some answers related to the Industrial Relations of Super Sign Cables. They are-
How Industrial Relation theories work inside Super Sign Cables?
How increased job responsibility impacts performance level in Supersign
Cables?
How Our Independent variables effect Dependent Variables inside Super
Sign Cable?
1.3 Statement of purpose
The purpose of our project is to understand how Unpaid Overtime of White-collar
Employees at Super Sign Cables functions within the company. How the different
elements of organizational behavior contribute to the companys success? What are
the problems of Unpaid Overtime and how the functions can be improved to achieve
further success?
1.4 Scope
The intention of the study is to understand how Unpaid Overtime impacts
performance within the organization.
8/8/2019 Report Main Body
3/46
3 | P a g e
1.5 Limitations
We faced many problems in our research. The main problems are-
Time
Subjective dataThe quality of this report is limited by the accuracy with which the employees
responded to the questionnaire. If they responded honestly, the content of the
report is considered to be accurate.
1.6 Methodology
Our objective was to first find out the Impacts of Unpaid Overtime on Company
performance.
1.6.1 Sample design
Sample refers a portion of total population. It is a portion of the total population
carefully selected to represent that population. There are three types of sampling
techniques such as simple random sampling, stratified sampling and quota sampling.
For our research we have selected Supersign Cables. For our research we have taken
some days randomly to get a whole picture of the company to analyze the data. We
have chosen managers and executives as our population sample (15 respondents). The
respondents were selected based on quota sampling technique, which is choosing the
respondent according to researchers choice. By taking the samples we have the
whole idea about Impacts of Unpaid Overtime on Company performance.
1.6.2 Methods of data collection
We have used some procedure for collecting our data. Hence, we have used two types
of data such as primary data & secondary data.
8/8/2019 Report Main Body
4/46
4 | P a g e
1.6.2.1 Primary Data
Primary refers core data. Which we get from primary sources for instance
questionnaire, standardized tests, observational
forms, laboratories notes which are also called
raw data. We used a sample q uestionnaire
which is made up by our group and under the
observation of our faculty. The questionnaire
was filled up by the managers. We have collect data from managers and non-
managers such as officers.
1.6.2.2 Secondary Data
Secondary data refers literature studies made by others for their own purpose.
Secondary data helps current
researchers while working on
related fields. While doing
this research we have taken
some secondary data which
helped us to make our
concept understandable. Assecondary data we have
collected our relevant
information from the internet.
We accessed internet for reviewing the information that provide us some usefu l
information about Supersign Cables. In addition, we have also collected lots of
valuable information from books which discussed Indusrial Relations . This book
proved to be very handy for us while doing this project.
8/8/2019 Report Main Body
5/46
5 | P a g e
2. Company Profile
Supersign Industries (Electrical) Ltd. Is one of the best cable and wire manufacturers in
the country? It was established in 1963 and recognized by the ministry of commerce and
industries department of the then Government of East Pakistan in 1968.
For three decades, it has been one of the leading manufacturers of quality wires and
cables. It manufactures various types of domestic, power, control, Telecommunication
and submersible cables according to standard specification.
Through design and quality control we continually improve our existing technology and
cable while creating new solution to ever increasing demands. From design and quality
control our job is to provide with trouble free cable for maximum performance. The
factory is well-equipped with modern machines to manufacture quality cables according
to recognized institutions, i.e., Bangladesh Standard (BDS), German Standard (VDE),
IEC and other international standards. Cables are also made according to customers
special requirement. The license has been awarded by Bangladesh Standard Institution to
use the standard mark.
8/8/2019 Report Main Body
6/46
8/8/2019 Report Main Body
7/46
7 | P a g e
2.1 Vision-Mission
2.1.1 Our Vision
To be the best Private Wire manufacturer in Bangladesh in terms of efficiency, capital
adequacy, asset quality, sound management and profitability having strong liquidity.... upholding ethical values and best practices
2.1.2 Our Mission
To build Super Sign Cables into an efficient, market driven, customer focused institution
with good corporate governance structure.
Continuous improvement in our business policies, procedure and efficiency through
integration of technology at all levels.
2.2 Strategic Priority To have sustained growth, broaden and improve range of products and services in all areas
with the aim to add increased value to investment and offer highest possible benefits to our
customers.
2.3 For our CustomersTo become most caring in terms of product quality and customer satisfaction - by
providing the best product and efficient service in every area of our business.
2.4 Core Values
2.4.1 for our EmployeesBy promoting well - being of the members of the staff.
industries department of the then Government of East Pakistan in 1968.
For three decades, it has been one of the leading manufacturers of quality wires and
cables. It manufactures various types of domestic, power, control, Telecommunication
and submersible cables according to standard specification.
8/8/2019 Report Main Body
8/46
8 | P a g e
2.4.2 for our ShareholdersBy ensuring fair return on their investment through generating stable profit.
2.4.3 for our Community
By assuming our role as socially responsible corporate entity in a tangible manner throughclose adherence to national policies and objectives.
8/8/2019 Report Main Body
9/46
9 | P a g e
3. Data Analysis
Data analysis usually involves reducing accumulated data to a manageable size,
developing summaries, looking for patterns and applying statistical techniques. We
have done our analysis according to the managers point of view. To check whether
our data are reliable or not we have done reliability test of the data in SPSS. If there
are some problems in the data we have done factor analysis to solve the problem. We
have also done liner regression to find out whether the data are relational or not.
Through our research we have some results and our findings are given below.
3.1 Performance Level
Performance level is the matter of great concern in todays dynamic world of
business. Our purpose was to determine the following things:
1. Does unpaid overtime decrease productivity?
2. Does unpaid overtime increase absenteeism or attentiveness?
3. Does unpaid overtime increase turnover rate?
4. Does unpaid overtime create unfriendly work environment?
5. Does unpaid overtime decrease efficiency?
Interpretation: Addressing these questions was immensely important for the success
of this report, analyzing our questionnaire data; we found that the value of alpha is
0.7049 for this section. It clearly shows that our data is very much reliable.
8/8/2019 Report Main Body
10/46
10 | P a g e
3.2 Job Satisfaction
Job satisfaction is the key element of get things done in an effective and efficient
manner; thats why todays Business organizations are very much concern about
employees job satisfaction as it determines company success. We tried to address
following facts:
1. Unpaid overtime motivates to work
2. Unpaid overtime may lead to take biased decisions
3. Unpaid overtime may mean as discrimination
4. Unpaid overtime may hinder further career development
5. Unpaid overtime may lead you to go for alternative job
Interpretation: Addressing these questions was immensely important for the successof this report, analyzing our questionnaire data; we found that the value of alpha is
0.6386 for this section. It clearly shows that our data is very much reliable.
8/8/2019 Report Main Body
11/46
11 | P a g e
3.3 Increased Job Responsibility- Independent Variable :
Increased job responsibility can be viewed in a positive manner; does it happen all thetime? We tried to figure it out through following things:
1. Increased job responsibility decreases morale2. Too much work without payment may be unethical3. Increased job responsibility dignifies employees role or position4. Increased job responsibility may be cost-efficient5. Organizational politics influences job assigning procedure
Interpretation: Addressing these questions was immensely important for the success
of this report, analyzing our questionnaire data; we found that the value of alpha is
0.5322 for this section. It clearly shows that our data is very much reliable.
8/8/2019 Report Main Body
12/46
8/8/2019 Report Main Body
13/46
13 | P a g e
3.5 Qualitative Job- Independent Variable
Quality is the key to be successful in any arena in todays dynamic world of business.
There is no compromise as far as quality is concerned following things need to
addressed:
1. Long working hours tends to decrease the attention in job
2. Unpaid overtime degrades quality
3. Long work hours tends to decrease employees expertise
4. Substantial differences between normal and overtime working hours
5. Stress might influence job quality
Interpretation: Addressing these questions was immensely important for the successof this report, analyzing our questionnaire data; we found that the value of alpha is
0.5488 for this section. It clearly shows that our data is very much reliable
8/8/2019 Report Main Body
14/46
14 | P a g e
3.6 Less Recognition- Independent Variable
Recognition for well performance is the basic human desire & a very important
motivational factor; we felt the following things need to be addressed:
1. Unpaid overtime may not be recognized
2. Unpaid overtime may not dignifies the position
3. Unpaid overtime may have lack of reinforcement
4. Unpaid overtime may underestimate the potential of the employee
5. Unpaid overtime may be a tool for pressurizing the employees to do the
work
Interpretation: Addressing these questions was immensely important for the success
of this report, analyzing our questionnaire data; we found that the value of alpha is0.7596 for this section. It clearly shows that our data is very much reliable
8/8/2019 Report Main Body
15/46
15 | P a g e
3.7 Grievances- Independent Variable
We felt the following things need to be addressed for this section:
1. Unpaid overtime creates dissatisfaction
2. Excessive working hours without payment may create rival relationship
with the management
3. Management is taking interest by not giving the employees overtime
payment
4. Excessive work hours is not a concern rather the payment
5. The company does not have any schedule for paying the overtime to white
collar employees
Interpretation: Addressing these questions was immensely important for the success
of this report, analyzing our questionnaire data; we found that the value of alpha is
0.7316 for this section. It clearly shows that our data is very much reliable
8/8/2019 Report Main Body
16/46
16 | P a g e
At a glance:
The alpha values are represented in the following chart:
0.70490.6386
0.53220.5488
0.75960.7316
0 0.2 0.4 0.6 0.8
GIVLRIVQJIVIJRIVJSDVPLDVOLTVIV
8/8/2019 Report Main Body
17/46
17 | P a g e
Interpretation of relationship
4.1 Performance Level VS Increased job responsibility
When comparing workplace performance with increased job responsibility, we found
out very predictable results that are workplace performance does have relation with
unpaid overtime. The factors of include practice of unpaid overtime may decrease
productivity, increase absenteeism or attentiveness, increase turnover rate, increase
deviant workplace behavior, decrease job satisfaction.
When comparing workplace performance with increased job responsibility, we
analyzed the data in the following way:
We set the null hypothesis
Ho = There is no relationship between workplace performance and unpaid overtime &
increased job responsibility.
And the alternate as:
H1= There is relationship between workplace performance and unpaid overtime &
increased job responsibility.
ANOVA
Model Sum of Squares
df MeanSquare
F Sig.
1 Regression
5.470 1 5.470 25.094 .000
Residual 2.834 13 .218Total 8.304 14
a. Predictors: (Constant), MIJRIV b. Dependent Variable: MPLDV
Decision Rule: Reject H o if F > F 1, n-1 , /2
F1, n-1, =F1, 5-1, .01 =21.20< F=25.094
Therefore, we reject the null or we do not accept the null.
8/8/2019 Report Main Body
18/46
18 | P a g e
Therefore, there is substantial relationship between workplace performance and unpaid
overtime & increased job responsibility.
Model SummaryModel R R Square Adjusted
R SquareStd. Error
of theEstimate
1 .812 .659 .632 .46689a. Predictors: (Constant), MIJRIV
We can see here that R 2=.659(coefficient of determination)
Therefore we can say that about 65.90% of the total variation is estimated by the regression
equation can be explained.
MPLDV
MIJRIV
4.54.03.53.02.52.0
5.0
4.5
4.0
3.5
3.0
2.5
2.0
1.5
Observed
Linear
8/8/2019 Report Main Body
19/46
8/8/2019 Report Main Body
20/46
20 | P a g e
4.3 Performance Level VS Qualitative job
When comparing workplace performance with Qualitative job, we analyzed the data
in the following way:
We set the null hypothesis
Ho = There is no relationship between workplace performance and Qualitative job
And the alternate as:
H1= There is relationship between workplace performance and unpaid overtime &
Qualitative job.
ANOVAModel Sum of
Squaresdf Mean
SquareF Sig.
1 Regression
6.146 1 6.146 37.034 .000
Residual 2.158 13 .166Total 8.304 14
a. Predictors: (Constant), MQJIV b. Dependent Variable: MPLDV
Decision Rule: Reject H o if F > F 1, n-1 , /2
F1, n-1, =F1, 5-1, .01 =21.20< F=37.034
Therefore, we reject the null or we do not accept the null.
Therefore, there is substantial relationship between workplace performance and unpaid
overtime qualitative job.
Model SummaryModel R R Square Adjusted
R SquareStd. Error
of theEstimate
1 .860 .740 .720 .40739a. Predictors: (Constant), MQJIV
We can see here that R 2=.740(coefficient of determination)
Therefore we can say that about 74% of the total variation is estimated by the regression
equation can be explained.
8/8/2019 Report Main Body
21/46
21 | P a g e
MPLDV
MQJIV
4.54.03.53.02.52.0
5.0
4.5
4.0
3.5
3.0
2.5
2.0
1.5
Observed
Linear
4.4 Performance Level VS less Recognition
When comparing workplace performance with less Recognition, we analyzed the data
in the following way:
We set the null hypothesis
Ho = There is no relationship between workplace performance and less Recognition
And the alternate as:
H1= There is relationship between workplace performance and unpaid overtime &
less Recognition.
8/8/2019 Report Main Body
22/46
22 | P a g e
ANOVAModel Sum of
Squaresdf Mean
SquareF Sig.
1 Regression
8.143 1 8.143 658.669 .000
Residual .161 13 .012
Total 8.304 14a. Predictors: (Constant), MLRIV
b. Dependent Variable: MPLDV
Decision Rule: Reject H o if F > F 1, n-1 , /2
F1, n-1, =F1, 5-1, .01 =21.20< F=658.669
Therefore, we reject the null or we do not accept the null.
Therefore, there is substantial relationship between workplace performance and less
recognition.
Model SummaryModel R R Square AdjustedR Square
Std. Error of the
Estimate1 .990 .981 .979 .11119
a. Predictors: (Constant), MLRIV
We can see here that R 2=.981(coefficient of determination)
Therefore we can say that about 98.10% of the total variation is estimated by the regression
equation can be explained.
8/8/2019 Report Main Body
23/46
23 | P a g e
4.5Performance Level VS Grievances
When comparing workplace performance with Grievances, we analyzed the data in
the following way:
We set the null hypothesis
Ho = There is no relationship between workplace performance and Grievances
And the alternate as:
H1= There is relationship between workplace performance and Grievances
ANOVAModel Sum of
Squaresdf Mean
SquareF Sig.
1 Regression
8.272 1 8.272 3350.183 .000
Residual .032 13 .002Total 8.304 14
a. Predictors: (Constant), MGIV b. Dependent Variable: MPLDV
Decision Rule: Reject H o if F > F 1, n-1 , /2
F1, n-1, =F1, 5-1, .01 =21.20< F=3350.183
Therefore, we reject the null or we do not accept the null.
Therefore, there is substantial relationship between workplace performance and Grievances.
Model SummaryModel R R Square Adjusted
R SquareStd. Error
of theEstimate
1 .998 .996 .996 .04969a. Predictors: (Constant), MGIV
We can see here that R 2=.996(coefficient of determination)
Therefore we can say that about 99.60% of the total variation is estimated by the regression
equation can be explained.
8/8/2019 Report Main Body
24/46
24 | P a g e
MPLDV
MGIV
5.04.54.03.53.02.52.01.5
5.0
4.5
4.0
3.5
3.0
2.5
2.0
1.5
Observed
Linear
5.1 Job Satisfaction VS Increased job responsibility
Job satisfaction is the key element of get things done in an effective and efficientmanner; thats why todays Business organizations are very much concern aboutemployees job satisfaction as it determines company success.
When comparing Job Satisfaction with unpaid overtime, we analyzed the data in the
following way:
We set the null hypothesis
Ho = There is no relationship between Job Satisfaction and unpaid overtime&
Increased job responsibilityAnd the alternate as:
H1= There is relationship between Job Satisfaction and unpaid overtime& Increased job responsibility
8/8/2019 Report Main Body
25/46
25 | P a g e
ANOVAModel Sum of
Squaresdf Mean
SquareF Sig.
1 Regression
4.564 1 4.564 37.435 .000
Residual 1.585 13 .122
Total 6.149 14a Predictors: (Constant), MIJRIV
b Dependent Variable: MISDV
Decision Rule: Reject H o if F > F 1, n-1 , /2
F1, n-1, =F1, 5-1, .01 =21.20< F=37.435
Therefore, we reject the null or we do not accept the null.
Therefore, there is substantial relationship between Job Satisfaction and unpaid overtime &
increased job responsibility.
Model SummaryModel R R Square AdjustedR Square
Std. Error of the
Estimate1 .862 .742 .722 .34918
a. Predictors: (Constant), MIJRIV
We can see here that R 2=.742(coefficient of determination)
Therefore we can say that about 74.20% of the total variation is estimated by the regression
equation can be explained.
8/8/2019 Report Main Body
26/46
26 | P a g e
5.2 Job Satisfaction VS Overtime-Leisure
When comparing Job Satisfaction with Overtime-Leisure, we analyzed the data in the
following way:
We set the null hypothesis
Ho = There is no relationship between Job Satisfaction and Overtime-Leisure
And the alternate as:
H1= There is relationship between Job Satisfaction and Overtime-Leisure
ANOVAModel Sum of
Squaresdf Mean
SquareF Sig.
1 Regression
4.380 1 4.380 32.186 .000
Residual 1.769 13 .136Total 6.149 14
a Predictors: (Constant), MOLTIV b Dependent Variable: MISDV
Decision Rule: Reject H o if F > F 1, n-1 , /2F1, n-1, =F1, 5-1, .01 =21.20< F=32.186
Therefore, we reject the null or we do not accept the null.
Therefore, there is substantial relationship between Job Satisfaction and unpaid overtime &
Leisure
Model SummaryModel R R Square Adjusted
R SquareStd. Error
of theEstimate
1 .844 .712 .690 .36890a Predictors: (Constant), MOLTIV
We can see here that R 2=.712(coefficient of determination)
Therefore we can say that about 71.20% of the total variation is estimated by the regression
equation can be explained.
8/8/2019 Report Main Body
27/46
27 | P a g e
MISDV
MOLTIV
4.54.03.53.02.52.0
5.0
4.5
4.0
3.5
3.0
2.5
Observed
Linear
5.3 Job Satisfaction VS Qualitative job
When comparing Job Satisfaction with Qualitative job, we analyzed the data in the
following way:
We set the null hypothesis
Ho = There is no relationship between Job Satisfaction and Qualitative job
And the alternate as:
H1= There is relationship between Job Satisfaction and Qualitative job
8/8/2019 Report Main Body
28/46
28 | P a g e
ANOVAModel Sum of
Squaresdf Mean
SquareF Sig.
1 Regression
4.385 1 4.385 32.304 .000
Residual 1.765 13 .136
Total 6.149 14a Predictors: (Constant), MQJIV
b Dependent Variable: MISDV
Decision Rule: Reject H o if F > F 1, n-1 , /2
F1, n-1, =F1, 5-1, .01 =21.20< F=32.304
Therefore, we reject the null or we do not accept the null.
Therefore, there is substantial relationship between Job Satisfaction and unpaid overtime &
Qualitative job
Model SummaryModel R R Square Adjusted
R SquareStd. Error
of theEstimate
1 .844 .713 .691 .36842a Predictors: (Constant), MQJIV
We can see here that R 2=.713(coefficient of determination)
Therefore we can say that about 71.30% of the total variation is estimated by the regression
equation can be explained.
8/8/2019 Report Main Body
29/46
29 | P a g e
5.4 Job Satisfaction VS less recognition
When comparing Job Satisfaction with less recognition, we analyzed the data in the
following way:
We set the null hypothesis
Ho = There is no relationship between Job Satisfaction and less recognition and the
alternate as:
H1= There is relationship between Job Satisfaction and less recognition
ANOVAModel Sum of
Squaresdf Mean
SquareF Sig.
1 Regression
4.667 1 4.667 40.939 .000
Residual 1.482 13 .114Total 6.149 14
a Predictors: (Constant), MLRIV b Dependent Variable: MISDV
Decision Rule: Reject H o if F > F 1, n-1 , /2
F1, n-1, =F1, 5-1, .01 =21.20< F=40.939
Therefore, we reject the null or we do not accept the null.
Therefore, there is substantial relationship between Job Satisfaction and less recognition.
Model SummaryModel R R Square Adjusted
R SquareStd. Error
of theEstimate
1 .871 .759 .740 .33765a Predictors: (Constant), MLRIV
We can see here that R 2=.759(coefficient of determination)
Therefore we can say that about 75.90% of the total variation is estimated by the regression
equation can be explained.
8/8/2019 Report Main Body
30/46
30 | P a g e
MISDV
MLRIV
5.04.54.03.53.02.52.01.5
5.0
4.5
4.0
3.5
3.0
2.5
2.0
Observed
Linear
5.5 Job Satisfaction VS Grievances
When comparing Job Satisfaction with Grievances, we analyzed the data in the
following way:
We set the null hypothesis
Ho = There is no relationship between Job Satisfaction and Grievances and the
alternate as:
H1= There is relationship between Job Satisfaction and Grievances.
8/8/2019 Report Main Body
31/46
31 | P a g e
ANOVAModel Sum of
Squaresdf Mean
SquareF Sig.
1 Regression
4.910 1 4.910 51.505 .000
Residual 1.239 13 .095
Total 6.149 14a Predictors: (Constant), MGIV
b Dependent Variable: MISDV
Decision Rule: Reject H o if F > F 1, n-1 , /2
F1, n-1, =F1, 5-1, .01 =21.20< F=51.505
Therefore, we reject the null or we do not accept the null.
Therefore, there is substantial relationship between Job Satisfaction and Grievances
Model SummaryModel R R Square Adjusted
R SquareStd. Error
of theEstimate
1 .894 .798 .783 .30876a Predictors: (Constant), MGIV
We can see here that R 2=.798(coefficient of determination)
Therefore we can say that about 79.80% of the total variation is estimated by the regression
equation can be explained.
8/8/2019 Report Main Body
32/46
32 | P a g e
6 Conclusion
Analyzing the data from the questionnaire on the basis of our textual knowlwdge, we
found that this concerned industry (Supersign Cables) does not pay the overtime to
the white-collar employees. Therefore, we found some psychological changes in the
attitude or workplace behaviour of the employees. Due to increased job
responsibility,lack of leisure time, less recognition in the workplace impact employees
performance and job satisfaction in the workplace.
7 Recommendation
There should be a proper payment structure for the white-collar employees;
In the corporate world it is a common scenario that eployees are working
longer hours in their office. Therefore, fringe benefits (e.g. bus service,
promotion, gift etc.) should be given.
The company sould give the employees proper holidays, otherwise, there is
every possibility that they will lose their productivity.
As employees are one of the major key stakeholders in the organization, they
should be taken proper care by the company. If they fail to satisfy their
employees, they will be out of their market.
8/8/2019 Report Main Body
33/46
33 | P a g e
BIBLIOGRAPHY Robbins, P., Stephen and Judge, A., Timonthy; "Organizational Behavior"; ed:12th ,
New Delhi, Prentice Hall India Private Limited: 2007.
Newbold, Paul, Carlson, L., William, Thorne, Betty; "Statistics for Business and
Economics"; ed:6th , New Delhi, Prentice Hall India Private Limited: 2007.Prime Bank Limited, "Annual Report", http://www.prime -
bank.com/annual_report2007.pdf : 2007
Mr. Hira Chand Dugar, Chairman of Supersign Cables.
http://www.prime-bank.com/annual_report2007.pdfhttp://www.prime-bank.com/annual_report2007.pdfhttp://www.prime-bank.com/annual_report2007.pdfhttp://www.prime-bank.com/annual_report2007.pdf8/8/2019 Report Main Body
34/46
34 | P a g e
APPENDIX
Reliability Analysis
8/8/2019 Report Main Body
35/46
35 | P a g e
8/8/2019 Report Main Body
36/46
36 | P a g e
8/8/2019 Report Main Body
37/46
37 | P a g e
8/8/2019 Report Main Body
38/46
38 | P a g e
Regression Analysis
MPLDV
MIJRIV
4.54.03.53.02.52.0
5.0
4.5
4.0
3.5
3.0
2.5
2.0
1.5
Observed
Linear
MPLDV
MOLTIV
4.54.03.53.02.52.0
5.0
4.5
4.0
3.5
3.0
2.5
2.0
1.5
Observed
Linear
8/8/2019 Report Main Body
39/46
39 | P a g e
MPLDV
MQJIV
4.54.03.53.02.52.0
5.0
4.5
4.0
3.5
3.0
2.5
2.0
1.5
Observed
Linear
MPLDV
MLRIV
5.04.54.03.53.02.52.01.5
5.0
4.5
4.0
3.5
3.0
2.5
2.0
1.5
Observed
Linear
8/8/2019 Report Main Body
40/46
40 | P a g e
MPLDV
MGIV
5.04.54.03.53.02.52.01.5
5.0
4.5
4.0
3.5
3.0
2.5
2.0
1.5
Observed
Linear
MISDV
MIJRIV
4.54.03.53.02.52.0
5.0
4.5
4.0
3.5
3.0
2.5
2.0
Observed
Linear
8/8/2019 Report Main Body
41/46
8/8/2019 Report Main Body
42/46
42 | P a g e
MISDV
MLRIV
5.04.54.03.53.02.52.01.5
5.0
4.5
4.0
3.5
3.0
2.5
2.0
Observed
Linear
MISDV
MGIV
5.04.54.03.53.02.52.01.5
5.0
4.5
4.0
3.5
3.0
2.5
2.0
Observed
Linear
8/8/2019 Report Main Body
43/46
43 | P a g e
Dear Respondent: We are the BBA students of North South University doing a survey for the partial fulfillment of INDUSTRIAL RELATIONS course that involves the relationship and effects of unpaidovertime, dependent and independent variables of an organization. It will take only few minutes of your time. Your response would be of great help in accomplishing the study. However, thisinformation is only for academic purpose and will not be disclosed elsewhere. I heartily thank you for
your cooperation.
For the following questions, PLEASE tick ( ) your answer according to the degree of your agreement.[e.g., 5 = Highly Agree, 4 = Moderately Agree, 3 = Agree, 2 = Moderately Disagree, 1=Highly Disagree]
Background Information
Company/Firm: ________________ Position: ______________ Education level: ______
Tenure of job: ________ Gender: _______ Age: _____ Total number of employees: _____
Section One
Performance Level- Dependent Variable 1 2 3 4 51. Unpaid overtime decreases productivity2. Unpaid overtime increases absenteeism or attentiveness3. Unpaid overtime increases turnover rate4. Unpaid overtime creates unfriendly work environment
5. Unpaid overtime decreases efficiency
Section Two
Job Satisfaction- Dependent Variable
1 2 3 4 5
1. Unpaid overtime motivates to work 2. Unpaid overtime may lead to take biased
decisions3. Unpaid overtime may mean asdiscrimination4. Unpaid overtime may hinder further career development5. Unpaid overtime may lead you to go for alternative job
8/8/2019 Report Main Body
44/46
44 | P a g e
Section Three
Increased Job Responsibility-Independent Variable
1 2 3 4 5
1. Increased job responsibility decreasesmorale2. Too much work without payment may beunethical3. Increased job responsibility dignifiesemployees role or position4. Increased job responsibility may be cost-efficient5. Organizational politics influences jobassigning procedure
Section Four
Overtime Vs Leisure Time-IndependentVariable
1 2 3 4 5
1. Increasing work hours clashes with sociallife2. There is hardly any time to enjoy withfriends and family3. Company tends to cut-off Govt. holidays4. Sudden overtime roaster causesdissatisfaction
5. Long work hours bring monotonous life
Section Five
Qualitative Job- Independent Variable 1 2 3 4 51. Long working hours tends to decrease theattention in job2. Unpaid overtime degrades quality3. Long work hours tends to decrease
employees expertise4. Substantial differences between normaland overtime working hours5. Stress might influence job quality
8/8/2019 Report Main Body
45/46
45 | P a g e
Section Six
Less Recognition- IndependentVariable
1 2 3 4 5
1. Unpaid overtime may not be recognised
2. Unpaid overtime may not dignifies the position3. Unpaid overtime may have lack of reinforcement4. Unpaid overtime may underestimate the
potential of the employee5. Unpaid overtime may be a tool for
pressurising the employees to do the work
Section Seven
Grievances- Independent Variable
1 2 3 4 5
1. Unpaid overtime creates dissatisfaction2. Excessive working hours without paymentmay create rival relationship with themanagement3. Management is trying take interest by notgiving the employees overtime payment4. Excessive workhours is not a concern rather the payment5. The company does not have any schedule for
paying the overtime to white collar employees
Any other opinion/suggestion/recommendation that you may have or has notcovered yet:
________________________________________________________________________
T hanks for your cooperation
8/8/2019 Report Main Body
46/46
TABLE OF CONTENTS
Table of ContentsExecutive Summary...................................................................................................................ii
1. Introduction................................................................................................................... 11.1 Origin of the Report................................................................................................ 11.2 Objective ................................................................................................................ 21.3 Statement of purpose............................................................................................... 21.4 Scope...................................................................................................................... 21.5 Limitations.............................................................................................................. 31.6 Methodology........................................................................................................... 3
1.6.1 Sample design.................................................................................................. 31.6.2 Methods of data collection ............................................................................... 3
2. Company Profile ........................................................................................................... 52.1 Vision-Mission........................................................................................................ 7
2.1.1 Our Vision ........................................................................................................ 72.1.2 Our Mission...................................................................................................... 7
2.2 Strategic Priority.................................................................................................. 72.3 For our Customers ................................................................................................ 72.4 Core Values........................................................................................................... 7
2.4.1 for our Employees............................................................................................ 72.4.2 for our Shareholders.......................................................................................... 82.4.3 for our Community ............................................................................................ 8
3. Data Analysis ................................................................................................................ 93.1 Performance Level .................................................................................................. 93.2 Job Satisfaction..................................................................................................... 103.3 Increased Job Responsibility- Independent Variable :............................................ 113.4 Overtime Vs Leisure Time-Independent Variable .................................................. 123.5 Qualitative Job- Independent Variable .................................................................. 133.6 Less Recognition- Independent Variable .............................................................. 143.7 Grievances- Independent Variable......................................................................... 15
Interpretation of relationship ............................................................................................... 174.1 Performance Level VS Increased job responsibility............................................... 174.2 Performance Level VS Overtime-Leisure.............................................................. 194.3 Performance Level VS Qualitative job .................................................................. 204.4 Performance Level VS less Recognition................................................................ 214.5 Performance Level VS Grievances ........................................................................ 235.1 Job Satisfaction VS Increased job responsibility................ ......... ........... ......... ....... 245.2 Job Satisfaction VS Overtime-Leisure................................................................... 26
5.3 Job Satisfaction VS Qualitative job....................................................................... 275.4 Job Satisfaction VS less recognition...................................................................... 295.5 Job Satisfaction VS Grievances............................................................................. 30
6 Conclusion .................................................................................................................. 327 Recommendation......................................................................................................... 32BIBLIOGRAPHY............................................................................................................... 33