2012  

JAHANGIRNAGAR UNIVERSITY  KHAIRUZZAMAN MAMUN  

A STUDY ON JOB SATISFACTION IN BANKING SECTOR IN BANGLADESH  

A STUDY ON JOB SATISFACTION IN BANKING SECTOR IN BANGLADESH

Prepared for

Prepared by

Ms. Mahfuza khatun Lecturer Department of Finance & Banking Jahangirnagar University Savar, Dhaka.

1. Khairuzzaman Mamun ID No :20113137 Contact no : 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

Submission Date: December 14,2012

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

 

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.

 

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

 

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.

   

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?

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 0-10%

11-20%

21-30%

31-40%

41-50%

51-60%

61-70%

71-80%

81-90%

91-100%

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

facilities 1 2 3 4 5 6 7 8 9 10

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 WE

TF LF BF AF

OS

Md. Sadek Ali 70 60 100

40 50 20 50 40 50 10 20

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

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

0 10 60 50 10 70 50 30 70

Md. Abdullah 20 30 90 10 50 50 10 40 50 20 70 Md. Jahir Uddin 50 60 10

0 10 60 60 10 60 70 20 80

Rezwana Parvez 30 50 100

10 50 30 10 50 50 20 80

Hone Ara 40 40 100

10 60 40 10 60 70 30 90

Niamat Ullah 80 90 90 50 100 100

10 30 50 10 70

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

0 30 90 90 10 20 30 50 70

Md. Tarikul Islam 70 50 60 50 70 60 10 50 40 70 40 S.M. Shaheen 80 80 10

0 50 100 10

0 10 50 50 10 70

Mahbubur Rahman 80 90 100

50 100 100

10 50 50 10 70

Gobida Sarkar 90 70 80 70 100 100

10 60 50 10 80

Bijan Kumar 90 80 70 70 100 100

10 50 40 10 70

Mamun Hawlader 90 50 100

100 100 100

10 40 90 10 80

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

0 10 30 50 10 70

Md Masudur Islam 60 30 60 20 70 50 10 30 50 70 60 Faria Alam 90 40 10

0 100 100 10

0 10 20 50 10 80

Md. Kamruzzaman 80 90 70 30 90 100

10 60 80 10 80

Md. Rafiqul Islam 90 90 90 20 80 100

10 80 90 10 90

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 30PAY 64.3333 22.38893 30PS 60.3333 21.73244 30SS 82.6667 18.92514 30TFS 35.6667 29.44116 30CR 80.0000 17.81127 30WE 72.6667 24.34427 30TF 11.3333 7.30297 30LF 48.0000 20.23994 30BF 54.0000 19.22642 30AF 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.

GRAPH: Bar diagram:

AFBFLFTFWECRTFSSSPSPAYOS

Mea

n100

80

60

40

20

0

Pie Chart of independent variables:

AF

BF

LF

TF

WE

CRTFS

SS

PS

PAY

 

 

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

Standard Error 10.07836 This is the sample estimate of the standard deviation of the 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 1929.895 101.573Total 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

PS -.058 .139 -.415 .683 -.349 .234SS .261 .149 1.758 .095 -.050 .573TFS -.070 .111 -.626 .539 -.302 .163CR -.146 .262 -.559 .583 -.694 .402WE .120 .275 .437 .667 -.455 .695TF -1.386 .392 -3.536 .002 -2.206 -.566LF -.161 .141 -1.138 .269 -.456 .135BF .182 .139 1.308 .206 -.109 .473AF -.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

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

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