job satisfaction in banking sector in bd

1.
2012
JAHANGIRNAGAR
UNIVERSITY
KHAIRUZZAMAN MAMUN
A STUDY ON JOB SATISFACTION IN
BANKING SECTOR IN BANGLADESH

2. A STUDY ON JOB SATISFACTION IN
BANKING SECTOR IN BANGLADESH
Prepared for Prepared by
Ms. Mahfuza khatun 1. Khairuzzaman Mamun
Lecturer ID No :20113137
Contact no : 01761808592
Department of Finance & Banking
Email : kpmmamun@gmail.com
Jahangirnagar University 2. Misbah-ul-alam
Savar, Dhaka. ID No: 20122405
3. Md. Quamruzzaman
ID No: 20122397
4. Tapash kanti bhattacharjee
ID No: 20122396
5. Mohammad Habibur Rahman
ID No: 20122305
6. Md. Zahurul Islam
ID No: 20122290
Submission Date: December 14,2012

3. LETTER OF TRANSMITAL
December 14, 2012
Ms. Mahfuza khatun
Lecturer, Department of Finance & Banking
Jahangirnagar University
Dear Ms. Mahfuza
Here is the report that you asked us to conduct on November 09, 2012 on a Study on job
satisfaction in Banking Sector in Bangladesh.
This study focused on different types of discussion and result about the factors of job satisfaction
in banking sector in Bangladesh.
We will be pleased if you have any further query for this you can call us at your convenient time
and place.
Sincerely yours,
1. Khairuzzaman Mamun
ID No :20113137
Mob: 01761808592
Email : kpmmamun@gmail.com
2. Misbah-ul-alam
ID No: 20122405
3. Md. Quamruzzaman
ID No: 20122397
4. Tapash kanti bhattacharjee
ID No: 20122396
5. Mohammad Habibur Rahman
ID No: 20122305
6. Md. Zahurul Islam
ID No: 20122290

4. ABSTRACT
This report study is aimed at finding the relationship between the overall
satisfaction and the various factors of job satisfaction such as payment, promotion,
security, treatment, bonus etc. taking bank of Bangladesh into consideration. It
overviews some theoretical literature on these satisfaction factors and presents the
regression outputs and their interpretation.
The findings of the study are:
1. Position of the various satisfaction level of factors of bank.
2. The regression output has components:
o Regression statistics table
o Correlation table
o Model summery
o ANOVA table
o Regression coefficients table
3. And their interpretation.
Quantitative data is taken by conducting the survey two banks in savar such as
Dutch-Bangla Bank Lt. and Sonali Bank Lt.

5. Sequence of contents
Introduction
Analysis and Interpretation
regression output
o Regression statistics table
o Model summery
o ANOVA table
o Regression coefficients table
Recommendations & suggestions
Conclusions
References

6. Introduction
Job satisfaction is how content an individual is with his or her job. Scholars and
human resource professionals generally make a distinction between affective job
satisfaction and cognitive job satisfaction. Affective job satisfaction is the extent
of pleasurable emotional feelings individuals have about their jobs overall, and is
different to cognitive job satisfaction which is the extent of individuals’
satisfaction with particular facets of their jobs, such as pay, promotion, security,
working environment, and numerous other aspects of their jobs.
At its most general level of conceptualization, job satisfaction is simply how
content an individual is with his or her job. At the more specific levels of
conceptualization used by academic researchers and human resources
professionals, job satisfaction has varying definitions. Affective job satisfaction is
usually defined as an one-dimensional subjective construct representing an overall
emotional feeling individuals have about their job as a whole. Hence, affective job
satisfaction for individuals reflects the degree of pleasure or happiness their job in
general induces. Cognitive job satisfaction is usually defined as being a more
objective and logical evaluation of various facets of a job. As such, cognitive job
satisfaction can be one-dimensional if it comprises evaluation of just one aspect of
a job, such as pay or maternity leave, or multidimensional if two or more facets of
a job are simultaneously evaluated. Cognitive job satisfaction does not assess the
degree of pleasure or happiness that arises from specific job facets, but rather
gauges the extent to which those job facets are judged by the job holder to be
satisfactory in comparison with objectives they themselves set or with other jobs.
While cognitive job satisfaction might help to bring about affective job
satisfaction, the two constructs are distinct, not necessarily directly related, and
have different antecedents and consequences.

7. Analysis and Interpretation
For analyzing and interpretation we have selected two branch of bank in savar and
conducted a survey for data. The banks are Dutch-Bangla Bank Lt and Sonali Bank
Lt. Then we have run regression by SPSS taking Overall Satisfaction (os) as
dependent variable and Pay, PS, SS, TFS, CR, WE, TF, LF, BF, AF as independent
variable. Where questionnaire of this survey was as below
Questionnaire
Dear Respondent:
I am an MBA, student of Faculty of Business Administration, Jahangirnagar University, Savar, Dhaka.
For my academic purpose I require data regarding “job satisfaction level”. It would be highly
appreciable if you provide me some necessary information. I also assure you that this data will be used for
only academic purpose; the information collected from you will be reserved with strict confidentiality.
Thanks to you in advance!
Name: ……………………………………………………………….
Part-A: Demographic Profile
a. Gender:
 Male  Female
b. Marital Status:
 Single  Married
c. Age …………..years.
Part-B: Job Satisfaction
Job satisfaction means as a positive feeling about a job resulting from an evaluation of its characteristics.
These characteristics can be rated by any percentage.
Characteristics are:
1. Pay: what is your satisfaction level (in %) in job payment?
2. PS: what is your satisfaction level (in %) in job promotion?

8. 3. SS: what is your satisfaction level (in %) in job security? Here the security means the
organizational support when one falls in any problem.
4. TFS: what is your satisfaction level (in %) in treatment facilities?
5. CR: what is your satisfaction level (in %) about coworker relationship?
6. WE: what is your satisfaction level (in %) about working environment?
7. TF: what is your satisfaction level (in %) in transportation facility?
8. LF: what is your satisfaction level (in %) in leave facility?
9. BF: what is your satisfaction level (in %) in bonus facility?
10. AF: what is your satisfaction level (in %) in accommodation facilities?
11. OS: what is your overall job satisfaction level (in %)?
Please tick (√) anyone of the satisfaction level options for each one of the following factors
satisfaction level 0- 11- 21- 31- 41- 51- 61- 71- 81- 91-
10% 20% 30 40% 50% 60% 70% 80% 90% 100
% %
1. Job payment 1 2 3 4 5 6 7 8 9 10
2. Job promotion 1 2 3 4 5 6 7 8 9 10
3. Job security 1 2 3 4 5 6 7 8 9 10
4. Treatment facilities 1 2 3 4 5 6 7 8 9 10
5. Coworker relationship 1 2 3 4 5 6 7 8 9 10
6. Working environment 1 2 3 4 5 6 7 8 9 10
7. Transportation facility 1 2 3 4 5 6 7 8 9 10
8. Leave facility 1 2 3 4 5 6 7 8 9 10
9. Bonus facility 1 2 3 4 5 6 7 8 9 10
10. Accommodation 1 2 3 4 5 6 7 8 9 10
facilities
11. Overall facility 1 2 3 4 5 6 7 8 9 10
Thank you for your kind cooperation and wish you every success and growth.
After conducting the survey the data have been accumulated by the following table:
NAME Pay PS SS TFS CR W TF LF BF A OS
E F
Md. Sadek Ali 70 60 10 40 50 20 50 40 50 10 20
0
Md. Mojibor Rahman 60 70 80 10 50 50 10 60 60 10 60
Mrs. Dil Afroza 10 10 90 10 90 50 10 90 50 60 60
Md. Nijamuddin 80 30 40 10 90 60 10 60 50 60 40
Md. Mokbul Hossain 50 60 70 10 70 60 10 60 70 60 60

9. Md. Nazmul Alam 50 50 90 20 80 70 10 80 80 80 70
Md. Zinnat Ali 50 60 40 10 70 60 10 20 50 70 70
Md. Sultan Hossain 30 40 90 10 70 70 10 50 60 20 60
Md. Jahirul Islam 50 60 10 10 60 50 10 70 50 30 70
0
Md. Abdullah 20 30 90 10 50 50 10 40 50 20 70
Md. Jahir Uddin 50 60 10 10 60 60 10 60 70 20 80
0
Rezwana Parvez 30 50 10 10 50 30 10 50 50 20 80
0
Hone Ara 40 40 10 10 60 40 10 60 70 30 90
0
Niamat Ullah 80 90 90 50 100 10 10 30 50 10 70
0
Mahmudul Hassan 90 40 40 20 90 70 10 10 10 10 70
Arifur Rahman 80 70 80 80 90 90 10 20 10 10 70
Md. Shibli Sadique 70 70 10 30 90 90 10 20 30 50 70
0
Md. Tarikul Islam 70 50 60 50 70 60 10 50 40 70 40
S.M. Shaheen 80 80 10 50 100 10 10 50 50 10 70
0 0
Mahbubur Rahman 80 90 10 50 100 10 10 50 50 10 70
0 0
Gobida Sarkar 90 70 80 70 100 10 10 60 50 10 80
0
Bijan Kumar 90 80 70 70 100 10 10 50 40 10 70
0
Mamun Hawlader 90 50 10 100 100 10 10 40 90 10 80
0 0
Md. Jan Ali 70 80 80 90 80 80 10 30 40 10 70
Mir Sharif Hossain 60 80 80 20 90 70 10 70 80 10 60
Md. Ahasanul alom 70 90 90 50 100 10 10 30 50 10 70
0
Md Masudur Islam 60 30 60 20 70 50 10 30 50 70 60
Faria Alam 90 40 10 100 100 10 10 20 50 10 80
0 0
Md. Kamruzzaman 80 90 70 30 90 10 10 60 80 10 80
0
Md. Rafiqul Islam 90 90 90 20 80 10 10 80 90 10 90
0

10. The regression output has components:
• Regression statistics table
• Model summery
• ANOVA table
• Regression coefficients table
INTERPRET REGRESSION STATISTICS TABLE
Descriptive Statistics
Mean Std. Deviation N
OS 67.6667 14.54679 30
PAY 64.3333 22.38893 30
PS 60.3333 21.73244 30
SS 82.6667 18.92514 30
TFS 35.6667 29.44116 30
CR 80.0000 17.81127 30
WE 72.6667 24.34427 30
TF 11.3333 7.30297 30
LF 48.0000 20.23994 30
BF 54.0000 19.22642 30
AF 27.3333 24.20221 30
This table presents mean and deviation of dependent variable overall satisfaction (os) and
independent variables Pay, PS, SS, TFS, CR, WE, TF, LF, BF, AF.

11. GRAPH:
Bar diagram:
100
80
60
40
20
Mean
0
OS PAY PS SS TFS CR WE TF LF BF AF
Pie Chart of independent variables:
AF
PAY
BF
PS
LF
TF
SS
WE
TFS
CR

12.
Model Summary
This is the following output of greatest interest is R Square.
Explanation
Multiple R 0.828(a) R = square root of R2
R Square 0.686 R2
Adjusted R Square 0.520 Adjusted R2 used if more than one x variable
This is the sample estimate of the standard deviation of the
Standard Error 10.07836
error.
Observations 30 Number of observations used in the regression (n)
The above gives the overall goodness-of-fit measures:
R2 = 0.686 means that 68.6% of the variation of OS can be explained by the regressors Pay,
PS, SS, TFS, CR, WE, TF, LF, BF, AF.
An ANOVA table is given. This is often skipped.
df SS MS F Significance F
Regression 10 4206.771 420.677 4.142 .004(a)
Residual 19 1929.895 101.573
Total 29 6136.667
The ANOVA (analysis of variance) table splits the sum of squares into its components.
Total sums of squares
= Residual (or error) sum of squares + Regression (or explained) sum of squares.
The column labeled significance F has the associated P-value. Since 0.004 < 0.05, we reject H0
at significance level 0.05.
INTERPRET REGRESSION COEFFICIENTS TABLE
The regression output of most interest is the following table of coefficients and associated
output:
Coefficient St. error t Stat P-value Lower 95% Upper 95%
Intercept 66.728 19.220 3.472 .003 26.500 106.956
PAY .091 .172 .529 .603 -.269 .452

13. PS -.058 .139 -.415 .683 -.349 .234
SS .261 .149 1.758 .095 -.050 .573
TFS -.070 .111 -.626 .539 -.302 .163
CR -.146 .262 -.559 .583 -.694 .402
WE .120 .275 .437 .667 -.455 .695
TF -1.386 .392 -3.536 .002 -2.206 -.566
LF -.161 .141 -1.138 .269 -.456 .135
BF .182 .139 1.308 .206 -.109 .473
AF -.147 .106 -1.380 .184 -.369 .076
A simple summary of the above output is that the fitted line is
OVERALL SATISFACTION = 66.728 + 0.091PAY - 0.058PS + 0.261SS -
0.070TFS - 0.146CR + 0.120WE - 1.386TF - 0.161LF + 0.182BF - 0.147AF
CONFIDENCE INTERVALS FOR SLOPE COEFFICIENTS
95% confidence interval for slope coefficient PAY is from output (-0.269, 0 .452).
95% confidence interval for slope coefficient PS is from output (-0.349, 0.234).
95% confidence interval for slope coefficient SS is from output (-0.050, 0.573).
95% confidence interval for slope coefficient TFS is from output (-0.302, 0.163).
95% confidence interval for slope coefficient CR is from output (-0.694, 0.402).
95% confidence interval for slope coefficient WE is from output (-0.455, 0.695).
95% confidence interval for slope coefficient TF is from output (-2.206, -0.566).
95% confidence interval for slope coefficient LF is from output (-0.456, 0.135).
95% confidence interval for slope coefficient BF is from output (-0.109, 0.473).
95% confidence interval for slope coefficient AF is from output (-0.369, 0.076).
Recommendations & suggestions
Since R2 = 0.686. It means that 68.6% of the variation of OS can be explained by
the regressors Pay, PS, SS, TFS, CR, WE, TF, LF, BF, AF. So, it should take into
consideration.
Again since, fitted line is

14. OVERALL SATISFACTION = 66.728 + 0.091PAY - 0.058PS + 0.261SS -
0.070TFS - 0.146CR + 0.120WE - 1.386TF - 0.161LF + 0.182BF - 0.147AF
So, we are recommending that payment, job security, working environment and
bonus facility should be taken into consideration as emphasizing factors to increase
overall job satisfaction in banking sector in Bangladesh.
Conclusions
Based on this study it can be said that if banking sector in Bangladesh follow the
suggestion of this study then they will be more benefited and more successful in
their business.
References
Book Name:
Organizational behavior
Robbins & Judge
13th Edition
Search engine: www.google.com
Wikipedia.