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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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