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Topic
Identify the factors which influence the Employee Job
Satisfaction: Evidence from Banking Sector in Karachi
Pakistan
Rana Tariq Mehmood*
Faculty member in Business AdministrationMuhmmad Ali Jinnah University Karachi.
Email : [email protected]
Phone : 0333-2923550
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Identify the factors which influence the Employee Job Satisfaction:
Evidence from Banking Sector in Karachi Pakistan
Rana Tariq Mehmood* & Afaque Ali Khan**
AbstractThe purpose of this research is to identify specific issue that may impact on job
satisfaction and to identify the factors which influence the job satisfaction of
employees. The research will help in determining what gives satisfaction to
employeesIt is also extraordinary difficult to carry out field work. Less people want
to discuss in this topic. If they are not satisfied with there job they dont want to
discuss they think that problem is private and confidential and if they discuss they
have to quit from there permanent job. Thats all are my point of view which I feel
during the observation. Data are collected through questionnaire and the
questionnaires are close ended question.5 LIKERT scales are provided in the
questionnaire so that we find the result estimation of job satisfaction. Primary data are
collected through survey, questionnaire and observation and secondary data are
collected through research paper, articles, and books. To analysis the data spss
software has been used. Descriptive statistics (mean and standard deviation) are also
examined to analysis the data further support Correlation and Regression Analysis of
JOB satisfaction. Overall employees of private sector as well as public sector are
satisfied with their job with the mean of 3.7820 and standard deviation of .49244.
According to the results the job satisfaction of employees is significantly dependent
upon pay, promotion opportunities, rewards, relation with boss and co-workers. The
result of study reveals that employees of private banks were more satisfied with pay,
skills and abilities, and working hours as compared to public sector bank employees.Whereas, the employees of public sector were satisfied with job security as compared
to private sector bank employees.
KEYWORDS:Job satisfaction, banking sector, Karachi, Pakistan
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INTRODUCTION
Today organizations are continually challenging new working trends and
communication, rapid change of technology, new regulations, and environmental and
social aspects. These elements may affect to work environment and reflect to
employees attitudes and behaviours with respect of their input. Researchers and fieldexperts mainly focused to know the factors that impact on the employee satisfaction at
their work environment (Igalens and Roussel, 1999; Brewer et al., 2008). Job life is
to be known as one of the important parts of daily life (Ahsan et al., 2009). Owing to
competitive nature of job, most of the employers are very much anxious to know the
employee job satisfaction. Employee job satisfaction is related to how people think,
feel and perceive their jobs (Spector, 1997). This definition may be directed to the
employee attitudes and behaviours towards their job. In many factors have been
investigated to know the job satisfaction like management role, work motivation, pay,
other benefits, organizational environment, and employee learning perception (Igalens
and Roussel, 1999; Kuo et al., 2007; Brewer et al., 2008; Ahsan et al., 2009). Given
the importance of employee desires and expectations towards satisfaction in a
developing country context, it is worthwhile looking into job satisfaction predictors to
complement existing research. Much of the research in this area has not clearly
analyzed job satisfaction factors to gain insight into employee attitudes and
behaviours.
Job satisfaction is an individuals general attitude towards his/her job Wright,
T., Cropanzano, R., & Bonett, D. (2007) it shows how contented an employee
with his work. Job satisfaction is when a person is happy with his work
because it is something he wants to do and he is rewarded deservingly in that
work. Job satisfaction is an affective or emotional response towards various
facets of ones job.It has correlation with other dependent variables. Job satisfaction has a
positive relationship with organizational citizenship behavior (OCB) which is
moderate in strength. Organizational citizenship behaviors consist of
employee behaviors that are beyond the call of duty (Kreitner and Kinicki,
2001). Satisfied employees would most likely be motivated to do things that
are beyond the expectations of the job. It is because they develop sympathy
for the organization and they also want to help in its improvement. Job
satisfaction is also positively related to productivity. Productivity is a
performance measure that includes effectiveness and productivity. At the
individual level, evidence suggests that productivity is likely to lead to
satisfaction (Robbins, 2001). But it doesnt; t mean that happy workers to aremore productive. The thing is an organization with more satisfied employees
portrays greater productivity than those organizations with less satisf ied
workers. But personally, I can say that if a person is satisfied, he will be
productive.
Job satisfaction in regards to ones feeling or state of mind regarding nature of their
work. Job can be influenced by variety of factors like quality of ones relationship
with their supervisor, quality of physical environment in which they work, degree of
fulfillment in their work, etc.
Job satisfaction has been defined as a pleasurable emotional state resulting from theappraisal of ones job, an effective reaction to ones job; and an attitude towards ones
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job. Jacobs, P., Tytherleigh, M., Webb, C., & Cooper, C. (2007) has argued that job
satisfaction is an attitude but point out that researchers should clearly distinguish the
objectives of cognitive evaluation which are effect (emotion), belief and behavior.
This definition suggests that we form attitudes towards our job by taking into account
our feelings, our beliefs, and our behavior.
The most-used research definition of job satisfaction is by Locke (1976), who definedit as a pleasurable or positive emotional state resulting from the appraisal of ones
job or job experiences. Implicit in Lockes definition is the importance of both affect,
or feeling, and cognition, or thinking.
Drever (1964) described job satisfaction ''as an end state of feeling ." Singh 1990)
pointed out that the job satisfaction is a part of life satisfaction, the nature of one's
environment off- the- job. Similarly, a job is an important part of life; job satisfaction
influences one's general life satisfaction as an effective reaction, feeling of employees
with job, supervision, co-workers, salary/pay and his/her current and future career
progress. The causes of employees' satisfaction are restricted to implant factors alone
but they sum the whole gamut of men's needs and aspirations. Job satisfaction is a
general attitude which is the result of many specific attitudes (Reddy andRajasekhar,1990).
Schleicher, D., Watt, J., & Greguras, G. (2004) studied job satisfaction and
organizational climate among executives and supervisors, reported a significant
positive relationship between the over all climate and job satisfaction. Job satisfaction
was also found related to various individual dimensions of organizational climate
such as leadership, communication, interaction, influence in decision making, goal-
setting and control.
Importance of Job Satisfaction:
Job satisfaction is an important indicator of how employees feel about theirjob and a predictor of work behavior such as organizational, citizenship,
Absenteeism, Turnover.
Job satisfaction can partially mediate the relationship of personality variablesand deviant work behavior.
Common research finding is that job satisfaction is correlated with life style.
This correlation is reciprocal meaning the people who are satisfied with thelife tends to be satisfied with their jobs and the people who are satisfied their
jobs tends to satisfied with their life.
This is vital piece of information that is job satisfaction and job performance is
directly related to one another. Thus it can be said that, A happy worker is aproductive worker.
It gives clear evidence that dissatisfied employees skip work more often andmore like to resign and satisfied worker likely to work longer with the
organization.
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Scope of the Study:This study emphasis in the following scope:
To identify the employees level of satisfaction upon that job.
This study is helpful to that organization for conducting further research.
It is helpful to identify the employers level of satisfaction towards banking
sector. This study is helpful to the organization for identifying the area of
dissatisfaction of job of the employees.
This study helps the manager to make managerial decisions for the companyand for the welfare of the employees.
Research Objectives:
The scope of the study is very vital. Not only the Human Resource department can
use the facts and figures of the study but also the marketing and sales department can
take benefits from the findings of the study. This Research paper to evaluate job
satisfaction level of employees working in banking sector of KARACHI.
The objectives of job satisfaction survey are:
To analyze banks working environment.
To study the level of job satisfaction among the employees of banking sectorof Karachi.
To measure employee attitudes across a range key cultural and performancedimension.
To align management and employee expectations in order to facilitate greaterproductivity within the workplace environment.
To allow workplace satisfaction to be measured (or benchmarked) overtime. To study the level of job satisfaction among the employee working in banking
sector of Pakistan
To study the factor affecting job satisfaction among the employees working inbanking sector of Pakistan.
To access the satisfaction level of employees
To identify the factor which influences the job satisfaction of employees
To identify the factor which improve the satisfaction level of employees
To know employee satisfaction towards the facilities
To offer valuable suggestion to improve the satisfaction level of employees
.
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LITERATURE REVIEW
A Literature review is the critical evaluation of pervious published researches madeby various scholars and researchers. The literature review provides the bases for the
development of theoretical fame work by identifying variables that are very important,
as determined by the previous research findings. Though it is based on assumptions
but the researchers must use them near to the fact. According to the Taylor (1911)
stated that individual workers wants economic/incentives monetary rewards and are
willing to work harder for it. The study founded that 88% of the surveyed were
classified as being satisfied, and there was a direct linear relationship between
occupational level and job satisfaction.
Humphrey, J., Nahrgang, J., & Morgenson, F. (2007) stated that they first study about
the job satisfaction. This study focused on employee attitude and its impact on
production level. The study highlighted that employees & workers their own
perception of the work situation and the social environment, which affects their
attitude towards their work.
Hellriegel, D. and Slocum, J.W. (1974) indicates twelve major factors of job
satisfaction which are similar. According to him, the correlates of job satisfaction are:
the work itself, sense of achievement or job challenge, responsibility, recognition,
advancement or promotion, salary, job security, good working conditions, supervision,
relationship with co-workers, organizational policies, managerial and workers
commitment to organizational goals and policies. Hellriegel, D. and Slocum, J.W.
(1974) finds that the intrinsic nature of work such as achievement, recognition,
interesting work, advancement and decision making power are strong predictors ofjob satisfaction among direct service workers, supervisors and managers, and their
level of absenteeism and job turnover. Other extrinsic job factors which affect job
satisfaction are the workers relationship with co-workers and their salaries. In the
same study, workload is found to be the major factor predicting job satisfaction.
Singh (1990) pointed out that the job satisfaction is a part of life satisfaction, the
nature of one's environment off- the- job. Similarly, a job is an important part of life,
job satisfaction influences one's general life satisfaction as an effective reaction,
feeling of employees with job, supervision, co-workers, salary/pay and his/her current
and future career progress. The causes of employees' satisfaction are restricted to
implant factors alone but they sum the whole gamut of men's needs and aspirations.
Spector (1997), on the other hand, says the causes of job satisfaction can be grouped
into two main categories. The first category is the job environment and factors
associated with the job. This includes how people are treated; the nature of job tasks,
relations with other people in the work place and rewards. The second category is the
individual factors that the person brings in the workplace. This includes both
personality and prior experiences. These two categories often work together to
influence an employees job satisfaction.
Kieffer, K., Schinka, J., & Curtiss, G. (2004) said that job satisfaction refers to an
individual general attitude towards his or her jobs. A person with high level of job
satisfaction holds positive attitude towards his jobs, a person who is dissatisfied with
his or her job holds negative attitude about the jobs.
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Lise and Judge (2004) said that even though organizations cannot directly impact
employee personality, the use of sound selection methods and a good match between
employees and jobs will ensure people are selected and placed into jobs most
appropriate for them, which in turn, will help enhance their job satisfaction.
Pratap (1984) studied job satisfaction and organizational climate among executivesand supervisors, reported a significant positive relationship between the over all
climate and job satisfaction. Job satisfaction was also found related to various
individual dimensions of organizational climate such as leadership, communication,
interaction, influence in decision making, goal-setting and control.
Maslows (1943) suggested that there exists a hierarchy of human needs, commencing
with physiological needs then safety, social, esteem and at last self actualization need.
Maslow says that these needs must be satisfied in the order listed. According to theory,
there are some important implications for management. There are opportunities to
motivate employees and provide them job satisfaction through management style, job
design, company events, and compensation packages. Physiological needs providelunch breaks, rest breaks, and wages that are sufficient to purchase the essentials of
life. Safety needs provide a safe working environment, retirement benefits, and job
security. Social needs create a sense of community via team-based Research Papers
and social events. Esteem needs recognize achievements to make employees feel
appreciated and valued. Offer job titles that convey the importance of the position.
Self-Actualization provides employees a challenge and the opportunity to reach their
full career potential.
Mahmud Hassami, (RN) (2008) conducted a study on Bankers in university of Jordan
and found that there is a strong correlation between job satisfaction and organizational
commitment The results suggested that the Bankers strongest attitude towards
organizational commitment and job satisfaction were their feelings of strong loyalty
to their organization and satisfaction with the job itself also Bankers job satisfaction
and perceived organizational support were determined to be significantly related.
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R E S E A R C H M E T H D O L O G Y
R E S P O N D E N T O F T H E S T U D Y
Respondents for the research are the managers, employees and account holders of
NATIONAL BANK OF PAKISTAN, HABIB BANK, ALHABIB BANK, BANKALFALAH, SONERI BANK, HABIB METROPOLITAN BANK, JS BANK, MEEZAN
BANK,MUSLIM COMMERCIAL BANK, BARCLAYS, NIP BANK, UBL, located in
Karachi.TheRespondent: OG-1, OG-2, OG -3, Deputy Manager, Manager, Operational
Manager, VP, Executive VP, Assistant Manager. Sample was taken on convenient basis
the advantage of sampling are that it is much less costly, quicker and analysis will
become easier. Sample size taken was 100 employees.
Data collection sourceThe data collected for the research is conducted through primary and secondary
Sources. This can be illustrated in the following way:
For primary Data Collection:
Surveys Questionnaire Observation
For secondary Data Collection:
Internet Professional Journals and Magazines Articles
Research paperThe primary data was collected by using closed ended questionnaire method. Thequestionnaire has 25 questions and 5 LIKERT scale was used.
The scale has been grouped as follows:-
1) Strongly dissatisfied2) Dissatisfied3) Neutral4) Satisfied5) Strongly satisfied
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Table showing the sample of study
NAME OF BANK
TYPE OF
BANK
NUMBER OF
EMPLOYEES
GOVERNMENT 30
PRIVATE 20
PRIVATE 12
PRIVATE 7
PRIVATE 10
PRIVATE 5
PRIVATE 3
PRIVATE 3
PRIVATE 3
PRIVATE 3
PRIVATE 2
PRIVATE 2
TOTAL 100
P I L O T T E S T I N G :
A pilot testing was conducted on a small sample of n=10 employees ofNational Bank of
Pakistan. A draft questionnaire was tried out the pilot test level. The respondent for pilot
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study were similar and comparable with the population but were not included in the
sample of study. This exercise helped to improve and refine the research instrument.
Conceptual Framework
Independent variables Dependent variables
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Hypothesis
Formulation of hypothesis:
Null hypothesis (H0):
There is no significant relationship between X and Y
GeneralworkingconditionsPay andpromotionalpotential
JOBSATISFACTIONWorkrelationshipUse of skillsand abilities
Workactivities
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Alternative hypothesis (H1):
There is a significant relationship between X and Y
Where X and Y are two variables/Aspects or events
The following hypothesis has been formulated for this study:
(H0) There is no significant relationship between working condition and job satisfaction
(H1) There is significant relationship between working condition and job satisfaction.
(HO) There is no significant relationship between pay & promotion and job satisfaction
(H1) There is significant relationship between pay & promotion and job satisfaction
(H0)There is no significant relationship between work relationship and job satisfaction
(H1) There is significant relationship between work relationship and job satisfaction
(H0) There is no significant relationship between skill and abilities and job satisfaction
(H1) There is significant relationship between skill and abilities and job satisfaction
(H0) There is no significant relationship between work activities and job satisfaction
(H1) There is no significant relationship between work activities and job satisfaction
DATA ANALYSIS AND RESULTDISCUSSION
DESCRIPTIVES
Table showing the descriptive statistics of job satisfaction
DESCRIPTIVE STATISTICS
N Minimum Maximum Mean Std. Deviation
Job satisfaction 100 2.40 4.80 3.7820 .49244
Good workingcondition
100 1.80 5.00 3.6800 .60503
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Pay and promotion 100 1.50 4.75 3.5500 .73684
Work relationship 100 2.25 5.00 3.7725 .70719
Skills and abilities 100 1.80 4.80 3.6340 .59903
Work activities 100 1.00 5.00 3.5533 .66535
Valid N (list wise) 100
According to respondents opinions the rating on dependent variable job satisfaction
in banking sector was highest with a mean of (3.7820). The rating of work
relationship was second highest with a mean of (3.7725), the rating of good working
condition was third highest with a mean of (3.6800), the rating of independent
variable skills and abilities was fourth highest with a mean of (3.6340), and the rating
of work activities was fifth highest with a mean of (3.5533). And the rating of pay and
promotion is lowest with a mean of (3.5500).
The standard deviation of respondents opinion onpay and promotion was the highest
(0.60503), as compared to other dimensions. This indicates that there is a low
involvement of pay and promotion in banking sector of Karachi.
C O R R E L A T I O N
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Correlations
Jobsatisfaction
Goodworking
condition
Pay andpromotio
nWork
relationshipSkills andabilities
Workactivities
JOB
SATISFACTION
Pearson Correlation 1 .505 .310 .356 .506 .353
Sig. (2-tailed) .000 .002 .000 .000 .000
N 100 100 100 100 100 100
GOODWORKINGCONDITION
Pearson Correlation .505 1 .513 .427 .431 .397
Sig. (2-tailed) .000 .000 .000 .000 .000
N 100 100 100 100 100 100
PAY ANDPROMOTION
Pearson Correlation .310 .513 1 .395 .387 .405
Sig. (2-tailed) .002 .000 .000 .000 .000
N 100 100 100 100 100 100
WORKRELATIONSHIP
Pearson Correlation .356 .427 .395 1 .582 .415
Sig. (2-tailed) .000 .000 .000 .000 .000
N 100 100 100 100 100 100
SKILLSANDABILITIES
Pearson Correlation .506 .431 .387 .582 1 .542
Sig. (2-tailed) .000 .000 .000 .000 .000
N 100 100 100 100 100 100
WORK
ACTIVITIES
Pearson Correlation .353 .397 .405 .415 .542 1
Sig. (2-tailed) .000 .000 .000 .000 .000
N 100 100 100 100 100 100
**. Correlation is significant at the 0.01 level (2-tailed).
The data was analyzed through SPSS (statistical package for social sciences) software
by using correlation and regression. The correlation test indicates that the relationship
between the variables. The correlation values show that there is a positive correlation
of job satisfaction with good working condition, pay and promotion, work
relationship, skills and abilities, and work activities in job satisfaction.
The dependent variable job satisfaction has the strongest correlation with skills andabilities (.506**), with good working condition (0.505**), with work relationship
(0.356**), with work activities in job satisfaction (0.353**) and there is also
correlation of pay and promotion (.310**) with the dependent job satisfaction.
R E G R E S S I O N O F G O O D W O R K I N G
C O N D I T I O N
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Table showing the variables entered in good working condition
VARIABLES ENTERED/REMOVED
ModelVariablesEntered
VariablesRemoved Method
1 Good working
Condition
a
. Enter
a. All requested variables entered.
b. Dependent Variable: job satisfaction
Table showing the model summary of good working condition
MODEL SUMMARY
Model R R SquareAdjusted R
SquareStd. Error of the
Estimate
1 .505a
.255 .248 .42712
a. Predictors: (Constant), good working condition
The R value show Coefficient of Correlation is the numerical measure of strength of
the linear relationship between two variables. The R value (.505a) is show that there is
positive correlation between the good working condition and Dependent Variable job
satisfaction.
The R Square show Coefficient of Determination defines the square of Coefficient of
Correlation. The R Square values (.255) mean 25% reliable to be used for estimation
of population.
The Std. Error is important because they reflect how much sampling Fluctuation a
statistic will show. The Std. Error value show that 42% Fluctuation of Sampling Mean.
The R change shown that differences between R-value & Adjusted R square.
Table showing the ANOVAs of good working condition
ANOVA
Model Sum of Squares df Mean Square F Sig.
1 Regression 6.129 1 6.129 33.598 .000a
Residual 17.878 98 .182
Total 24.008 99
a. Predictors: (Constant), good working condition
b. Dependent Variable: job satisfaction
The Sum of Square shows the total variability around the mean, the Sum of SquareResidual mean the Sum of Squared Errors in Prediction and Sum of Square
Regression mean the improvement in Prediction by using the predicted value of (Y)
Dependent Variable over just using the mean of (X) Independent Variable.
The degree of freedom means number of sample minus one.
The F Test value (33.598) shows the combination of all variable, overall significances
of the Model its mean one independent variable Good working condition on
Dependent variable job satisfaction and Observation of Independent Variable met.
Table showing the coefficient of good working condition
COEFFICIENTSa
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Model
Unstandardized CoefficientsStandardizedCoefficients
t Sig.B Std. Error Beta
1 (Constant) 2.269 .265 8.575 .000
Good working condition .411 .071 .505 5.796 .000
a. Dependent Variable: job satisfaction
The Std. Error is important because they reflect how much sampling fluctuation a
statistic will show. The St.d Error of a statistic depends on the sample size in the
general the larger sample of the St.d Error. St.d Error of Constant (.265) value shows
the 26% of fluctuation of sampling mean and the St.d Error of Independent Variable
good working condition is (.071) value shows the 7% of fluctuation of sampling mean.
Standardized Coefficients are the coefficient that you would obtain if the Predictors
and the outcomes variable were standardized prior the analysis and the Comparing the
size of the coefficient across variable. The t value of Independent Variable good
working condition is (5.796). According to the rules if t value is greater that 2 (t>2.5)than null hypothesis will be rejected and alternate hypothesis will be accepted.
R E G R E S S I O N O F P A Y A N D P R O M O T I O N
Table showing the variables entered in pay and promotion
VARIABLES ENTERED/REMOVED
ModelVariablesEntered
VariablesRemoved Method
1 Pay andpromotion
a
. Enter
a. All requested variables entered.
b. Dependent Variable: job satisfaction
Table showing the model summary of pay and promotion
MODEL SUMMARY
Model R R SquareAdjusted RSquare
Std. Error of theEstimate
1 .310a
.096 .087 .47055
a. Predictors: (Constant), pay and promotion
The R value show Coefficient of Correlation is the numerical measure of strength of
the linear relationship between two variables. The R value (.310a) is show that there is
positive correlation between the pay and promotion and Dependent Variable job
satisfaction.
The R Square show Coefficient of Determination defines the square of Coefficient of
Correlation. The R Square values (.096) mean 9% reliable to be used for estimation of
population.
The Std. Error is important because they reflect how much sampling Fluctuation a
statistic will show. The Std. Error value show that 47% Fluctuation of Sampling Mean.
The R change shown that differences between R-value & Adjusted R square.
Table showing the ANOVAs of pay and promotionANOVA
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Model Sum of Squares df Mean Square F Sig.
1 Regression 2.309 1 2.309 10.428 .002a
Residual 21.699 98 .221
Total 24.008 99
a. Predictors: (Constant), pay and promotionb. Dependent Variable: job satisfaction
The Sum of Square shows the total variability around the mean, the Sum of Square
Residual mean the Sum of Squared Errors in Prediction and Sum of Square
Regression mean the improvement in Prediction by using the predicted value of (Y)
Dependent Variable over just using the mean of (X) Independent Variable.
The degree of freedom means number of sample minus one.
The F Test value (10.428) shows the combination of all variable, overall significances
of the Model its mean one independent variable pay and promotion on Dependent
variable job satisfaction and Observation of Independent Variable met.
Table showing the coefficient of pay and promotion
COEFFICIENTSa
Model
Unstandardized CoefficientsStandardizedCoefficients
t Sig.B Std. Error Beta
1 (Constant) 3.046 .233 13.093 .000
Pay and promotion .207 .064 .310 3.229 .002
a. Dependent Variable: job satisfaction
The Std. Error is important because they reflect how much sampling fluctuation a
statistic will show. The St.d Error of a statistic depends on the sample size in the
general the larger sample of the St.d Error. St.d Error of Constant (.233) value shows
the 23% of fluctuation of sampling mean and the St.d Error of Independent Variable
pay and promotion is (.064) value shows the 6% of fluctuation of sampling mean.
Standardized Coefficients are the coefficient that you would obtain if the Predictors
and the outcomes variable were standardized prior the analysis and the Comparing the
size of the coefficient across variable. The t value of Independent Variable pay and
promotion is (3.229). According to the rules if t value is greater that 2 (t>2.5) than
null hypothesis will be rejected and alternate hypothesis will be accepted.
R E G R E S S I O N O F W O R K R E L A T I O N S H I P
Table showing the variables entered in work relationship
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VARIABLES ENTERED/REMOVED
ModelVariablesEntered
VariablesRemoved Method
1 Workrelationship
a
. Enter
a. All requested variables entered.b. Dependent Variable: job Satisfaction
Table showing the model summary of work relationship
MODEL SUMMARY
Model R R SquareAdjusted R
SquareStd. Error of the
Estimate
1 .356a
.127 .118 .46243
a. Predictors: (Constant), work relationship
The R value show Coefficient of Correlation is the numerical measure of strength of
the linear relationship between two variables. The R value (.356a) is show that there is
positive correlation between the work relationship and Dependent Variable job
satisfaction.
The R Square show Coefficient of Determination defines the square of Coefficient of
Correlation. The R Square values (.127) mean 12% reliable to be used for estimation
of population.
The Std. Error is important because they reflect how much sampling Fluctuation a
statistic will show. The Std. Error value show that 46% Fluctuation of Sampling Mean.
The R change shown that differences between R-value & Adjusted R square.
Table showing the ANOVAs of work relationship
ANOVA
Model Sum of Squares df Mean Square F Sig.
1 Regression 3.051 1 3.051 14.267 .000a
Residual 20.957 98 .214
Total 24.008 99
a. Predictors: (Constant), work relationship
b. Dependent Variable: job satisfaction
The Sum of Square shows the total variability around the mean, the Sum of Square
Residual mean the Sum of Squared Errors in Prediction and Sum of Square
Regression mean the improvement in Prediction by using the predicted value of (Y)Dependent Variable over just using the mean of (X) Independent Variable.
The degree of freedom means number of sample minus one.
The F Test value (14.267) shows the combination of all variable, overall significances
of the Model its mean one independent variable work relationship on Dependent
variable job satisfaction and Observation of Independent Variable met.
Table showing the coefficient of work relationshipCOEFFICIENTS
a
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Model
Unstandardized CoefficientsStandardizedCoefficients
T Sig.B Std. Error Beta
1 (Constant) 2.846 .252 11.283 .000
Work
relationship
.248 .066 .356 3.777 .000
a. Dependent Variable: job satisfaction
The Std. Error is important because they reflect how much sampling fluctuation a
statistic will show. The St.d Error of a statistic depends on the sample size in the
general the larger sample of the St.d Error. St.d Error of Constant (.252) value shows
the 25% of fluctuation of sampling mean and the St.d Error of Independent Variable
work relationship is (.066) value shows the 6% of fluctuation of sampling mean.
Standardized Coefficients are the coefficient that you would obtain if the Predictors
and the outcomes variable were standardized prior the analysis and the Comparing the
size of the coefficient across variable. The t value of Independent Variable work
relationship is (3.777). According to the rules if t value is greater that 2 (t>2.5) than
null hypothesis will be rejected and alternate hypothesis will be accepted.
R E G R E S S I O N O F S K I L L S A N D A B I L I T I E S
Table showing the variables entered in skills and abilities
VARIABLES ENTERED/REMOVED
ModelVariablesEntered
VariablesRemoved Method
1 Skills andabilities
a
. Enter
a. All requested variables entered.
b. Dependent Variable: job satisfaction
Table showing the model summary of skills and abilities
MODEL SUMMARY
Model R R SquareAdjusted R
SquareStd. Error of the
Estimate
1 .506a
.256 .249 .42687
a. Predictors: (Constant), skills and abilities
The R value show Coefficient of Correlation is the numerical measure of strength of
the linear relationship between two variables. The R value (.506a
) is show that there ispositive correlation between the skills and abilities and Dependent Variable job
satisfaction.
The R Square show Coefficient of Determination defines the square of Coefficient of
Correlation. The R Square values (.256) mean 25% reliable to be used for estimation
of population.
The Std. Error is important because they reflect how much sampling Fluctuation a
statistic will show. The Std. Error value show that 42% Fluctuation of Sampling Mean.
The R change shown that differences between R-value & Adjusted R square.
Table showing the ANOVAs of skills and abilities
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ANOVA
Model Sum of Squares df Mean Square F Sig.
1 Regression 6.150 1 6.150 33.752 .000a
Residual 17.857 98 .182
Total 24.008 99
a. Predictors: (Constant), skills and abilities
b. Dependent Variable: job satisfaction
The Sum of Square shows the total variability around the mean, the Sum of Square
Residual mean the Sum of Squared Errors in Prediction and Sum of Square
Regression mean the improvement in Prediction by using the predicted value of (Y)
Dependent Variable over just using the mean of (X) Independent Variable.
The degree of freedom means number of sample minus one.
The F Test value (33.752) shows the combination of all variable, overall significances
of the Model its mean one independent variable skills and abilities on Dependent
variable job satisfaction and Observation of Independent Variable met.
Table showing the coefficient of skills and abilities
COEFFICIENTSa
Model
Unstandardized CoefficientsStandardizedCoefficients
T Sig.B Std. Error Beta
1 (Constant) 2.270 .264 8.607 .000
Skills and abilities .416 .072 .506 5.810 .000
a. Dependent Variable: job satisfaction
The Std. Error is important because they reflect how much sampling fluctuation a
statistic will show. The St.d Error of a statistic depends on the sample size in thegeneral the larger sample of the St.d Error. St.d Error of Constant (.264) value shows
the 26% of fluctuation of sampling mean and the St.d Error of Independent Variable
skills and abilities is (.072) value shows the 7% of fluctuation of sampling mean.
Standardized Coefficients are the coefficient that you would obtain if the Predictors
and the outcomes variable were standardized prior the analysis and the Comparing the
size of the coefficient across variable. The t value of Independent Variable skills and
abilities is (5.810). According to the rules if t value is greater that 2 (t>2.5) than null
hypothesis will be rejected and alternate hypothesis will be accepted.
R E G R E S S I O N O F W O R K A C T I V I T I E S
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Table showing the variables entered in work activities
VARIABLES ENTERED/REMOVED
ModelVariablesEntered
VariablesRemoved Method
1 Work activitiesa
. Enter
a. All requested variables entered.
b. Dependent Variable: job satisfaction
Table showing the model summary of work activities
MODEL SUMMARY
Model R R SquareAdjusted R
SquareStd. Error of the
Estimate
1 .353a
.125 .116 .46302
a. Predictors: (Constant), work activities
The R value show Coefficient of Correlation is the numerical measure of strength of
the linear relationship between two variables. The R value (.353
a
) is show that there ispositive correlation between the skills and abilities and Dependent Variable job
satisfaction.
The R Square show Coefficient of Determination defines the square of Coefficient of
Correlation. The R Square values (.125) mean 12% reliable to be used for estimation
of population.
The Std. Error is important because they reflect how much sampling Fluctuation a
statistic will show. The Std. Error value show that 46% Fluctuation of Sampling Mean.
The R change shown that differences between R-value & Adjusted R square.
Table showing the ANOVAs of work activities
ANOVA Model Sum of Squares df Mean Square F Sig.
1 Regression 2.998 1 2.998 13.984 .000a
Residual 21.010 98 .214
Total 24.008 99
a. Predictors: (Constant), work activities
b. Dependent Variable: job satisfaction
The Sum of Square shows the total variability around the mean, the Sum of Square
Residual mean the Sum of Squared Errors in Prediction and Sum of Square
Regression mean the improvement in Prediction by using the predicted value of (Y)
Dependent Variable over just using the mean of (X) Independent Variable.The degree of freedom means number of sample minus one.
The F Test value (13.984) shows the combination of all variable, overall significances
of the Model its mean one independent variable work activities on Dependent variable
job satisfaction and Observation of Independent Variable met.
Table showing the coefficient of work activities
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COEFFICIENTSa
Model
Unstandardized CoefficientsStandardizedCoefficients
T Sig.B Std. Error Beta
1 (Constant) 2.853 .253 11.284 .000
Work activities .262 .070 .353 3.740 .000
a. Dependent Variable: job satisfaction
The Std. Error is important because they reflect how much sampling fluctuation a
statistic will show. The St.d Error of a statistic depends on the sample size in the
general the larger sample of the St.d Error. St.d Error of Constant (.253) value shows
the 25% of fluctuation of sampling mean and the St.d Error of Independent Variable
work activities is (.070) value shows the 7% of fluctuation of sampling mean.
Standardized Coefficients are the coefficient that you would obtain if the Predictors
and the outcomes variable were standardized prior the analysis and the Comparing the
size of the coefficient across variable. The t value of Independent Variable workactivities is (3.740). According to the rules if t value is greater that 2 (t>2.5) than null
hypothesis will be rejected and alternate hypothesis will be accepted.
Conclusion
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It was good learning session for me during the Research Paper of job satisfaction in
banking sector of Karachi. While doing this Research Paper, I learnt a lot about
various banking operation. Job satisfaction is a very big concept as it includes various
factors associated with job satisfaction of employees.
From the analysis it is concluded that small number of employees are satisfied
with the payment and promotion as per their roles and responsibility and
remaining all are not satisfied with the payment and promotion according to
their roles and responsibilities. Hence from this analysis it can be cleared that
payment according to roles and responsibilities are not much satisfied.
Only little number of the employees is satisfied with the opportunities of
promotions given by organization. It shows that the employees do not have
any growth of opportunities. Analysis shows that the payment of salary is
made always on time.
From the analysis and interpretation it is clear that very large numbers of the
respondents are satisfied with the good working condition in banking sector.
From the analysis it is clear that some respondent are satisfy with work
relationship in banking sector and some are not satisfy with work relationship.
Larger numbers of employees are satisfied with skills and abilities as well as
training and induction the organization are provided very little number of
respondent are not satisfied.
Some respondent are satisfied with work activities and some are not satisfied
with work activities in banking sector.
It is concluded that the 75% of the employees are satisfied with their jobs. And 25%
are not satisfied with their bank job and the major reason is pay and promotion. Hence
To improve the level of satisfaction of employees the organization has to improve working
condition, promotion opportunities and training program and pay according to their
qualification.
Recommendation
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In the organization most of the employees are satisfied with all the facilities provided
by company. But there are some employees also who are not satisfied with the
company. Management should try to convert unsatisfied employees in to satisfied
employees. Because if employee is not satisfied than the he is not able to give his
100% to his work and the productiv ity of emplo yee decrease . So
management should try to satisfy his employees because employees are the
assets of the company not liabilities.
The suggestions are drawn from analysis and observation. Few suggestions are given
as under.
Company should give promotion to those employees who deserve it.
The study revealed that majority of employees is not satisfied with their
salary. So employees should be given good salary.
It is clear from the study that some of the employees are not satisfied with the
incentives. So company should provide them incentives according to their
performance.
Training and development program should be conducted from time to time so
that an employee does not get bored from their job.
Work should be assigned according to the qualification of employees.
So to motivate the employees management can take into consideration some proper
suggestions given by the employees. It will help to increase the motivation and
ultimately the Job satisfaction of the employees in the banking sector.
References
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