Authors:Dr. Debasis Bhattacharya, Associate Professor, Department of Commerce,
University of North Bengal.Mr. Manotosh Bose, Associate Professor, Department of Life Long Education and Extension, University of North Bengal.
Linking Commitment and Job Satisfaction of Human and Social Service Employees:Insights from Job
Characterstics Model
Variables:Experienced MeaningfulnessOrganizational IdentificationPay SatisfactionJob StressJob AutonomyJob VarietyJob SupervisionJob SatisfactionOrganizational Commitment
Literature Review:
Job Characteristic Model (JCM):Key Job Dimensions
Dependent Variables:Job SatisfactionOrganizational Commitment
Scale Items: Likert TypeExperienced
MeaningfulnessOrganizational
IdentificationPay SatisfactionJob StressJob AutonomyJob VarietyJob SupervisionJob SatisfactionOrganizational
Commitment
Three ItemsSix ItemsFour ItemsFour ItemsThree ItemsFive ItemsSix ItemsFive ItemsFive Items
oi em ps js jvautonom sup jobsat comm
N Valid 92 92 92 92 92 92 92 92 92 Missi
ng0 0 0 0 0 0 0 0 0
Mean 26.29 13.6 11.1 13.7 21.4 10.5 24.7 21.163 21.97Median 27.00 14.0 12.0 14.0 22.0 11.0 26.0 22.000 23.00Mode 30.00 15.0 12.0 8.00 23.0 11.0 28.0 23.00 24.00Std. Deviation 3.584 1.68 3.48 3.52 2.71 2.28 3.96 3.0929 2.717Percentiles
2525.00 13.0 9.00 11.0 20.0 9.00 22.0 20.000 20.00
50 27.00 14.0 12.0 14.0 22.0 11.0 26.0 22.000 23.00 75 29.00 15.0 13.0 16.0 23.0 12.0 28.0 23.000 24.00
Descriptive Statistics
Model R Adjusted
Std. Error of the
Estimate1 .794(a) .630 .594 1.97040
Model Sum of
Squares dfMean
Square F Sig.1 Regress
ion548.308 8 68.538 17.653 .000(a)
Residual 322.247 83 3.882 Total 870.554 91
Regression Analysis:I
ANOVA(b)
a Predictors: (Constant), sex, sup, js, ps, em, autonomy, jv, oib Dependent Variable: jobsat
a Predictors: (Constant), sex, sup, js, ps, em, autonomy, jv, oi
Model
Unstandardized Coefficients
Standardized Coefficients
t Sig.B Std. Error Beta1 (Constant)
2.599 2.501 1.039 .302
oi -.033 .107 -.038 -.307 .760em .616 .182 .335 3.378 .001ps .120 .070 .135 1.702 .093js -.125 .069 -.143 -1.821 .072jv .150 .111 .131 1.348 .181autonomy
.494 .113 .366 4.371 .000
sup .131 .072 .168 1.812 .074sex -.468 .455 -.074 -1.029 .307
Regression Analysis:I
a Dependent Variable: jobsat
Coefficients(a)
Model R
R Square
Adjusted R
Square
Std. Error of the
Estimate1 .800(a) .640 .605 1.70763
Model Sum of
Squares dfMean
Square F Sig.1 Regressi
on429.927 8 53.741 18.430 .000(a)
Residual 242.029 83 2.916 Total 671.957 91
Regression Analysis:II
ANOVA(b)
a Predictors: (Constant), sex, sup, js, ps, em, autonomy, jv, oib Dependent Variable: comm
a Predictors: (Constant), sex, sup, js, ps, em, autonomy, jv, oi
Model
Unstandardized CoefficientsStandardized Coefficients
t Sig.B Std. Error Beta1 (Constant)
5.893 2.168 2.719 .008
oi .211 .092 .278 2.285 .025em -.221 .158 -.137 -1.398 .166ps .041 .061 .052 .670 .505js -.015 .060 -.019 -.244 .808jv .471 .096 .470 4.890 .000autonomy
-.084 .098 -.071 -.859 .393
sup .174 .063 .253 2.767 .007sex -.366 .395 -.065 -.927 .357
Regression Analysis:II
a Dependent Variable: comm
Coefficients(a)
Summary:
Findings: A synoptic viewManagerial ImplicationsLimitationsFuture Research Directions
Thank You
