An exploratory study on turnover intention among private sector employees

Type Journal Article - International Journal of Business and Management
Title An exploratory study on turnover intention among private sector employees
Author(s)
Volume 5
Issue 8
Publication (Day/Month/Year) 2010
Page numbers 57-64
URL http://www.ccsenet.org/journal/index.php/ijbm/article/viewFile/6899/5481
Abstract
This study aims to study the organizational commitments, job stress, job satisfaction and turnover intention
among the private sector employees in Petaling. A total of 120 respondents in Petaling District were selected
conveniently. Organizational Commitments Questionnaire (Mowday, Steers & Porter, 1979), perceived Stress
Scale (PSS), Minnesota Satisfaction Questionnaire (MSQ) and Mobley, Horner & Hollingsworth (1978) were
used to measure organizational commitments, job stress, job satisfaction, and turnover intention. Majority of the
respondents were single (77.5%), followed by married (20%), and divorced 2.5%. Results showed that majority
of the respondents experienced moderate level of commitment (70.8%); half of the total respondents (50%)
experienced high level of job stress; 67.5% of them experienced moderate level of job satisfaction and 42.5% of
them experienced moderate level of turnover intention. The result uncovered that there was a significant negative
relationship between organizational commitments and turnover intention in the study (r = -.367, p .05);
positive relationship between job stress and turnover intention (r = .96, p .05) and negative relationship
between job satisfaction and turnover intention in the study (r = -.447, p .01). Further analysis concluded that
demographic background of respondent mediated the relationship between organizational commitments, job
stress, job satisfaction and turnover intention. For future research, it is suggested to compare the predictive
validity of the model across different jobs and industries. The methodology of study can be improved by increase
the sample size to wider population and adopt probability sampling method in order to generalize more reliable
results.
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