| dc.description.abstract |
This research aims to examine the effect of human resource development practice on employees’
performance with mediating Variable of Job satisfaction in case of Arbaminch University
academic staff. And, in this study 338 samples from 2178 total populations of the colleges were
participated. Moreover, the study used a Primary source of data and the sampling strategy was
stratified random sampling technique; again the data for the study was collected through
standardized Likert-scale questionnaire which was adopted from previous researchers and
analyzed using both descriptive (frequency, percentage, mean and standard deviation) as well as
inferential statistics (structural Equation Model). Thus, the findings of this study indicated that,
there were a medium level of academic staff’s perceptions towards Training and Development,
Academic Career Development, counseling, Performance Appraisal and Succession planning.
The result of SEM correlation analysis indicates there is positive and significant relationship
between training and development, academic career development, team work, counseling and
job satisfaction has a significant effect on academic staff’s perceptions of employee
performance. The result of SEM Regression analysis indicates that job satisfaction, training and
development and team work has a positively and significantly effect on Employee performance,
but negative and significant effect on academic career development and counseling. The other
finding emerged from this study is that academic career development, team work, counseling and
Succession planning has a significant and positive effect on academic staffs of Job satisfaction.
Mediation Analysis result job satisfaction has Partial mediation effect on Academic Career
Development and counseling. And also job satisfaction has Full mediation effect between
Succession planning and Employee performance in academic staff of Arbaminch University. The
results are important for the productive work environment. The future research must be
conducted on behavior aspects of the variables |
en_US |