Vol 25 , Issue 1 , January - June 2024 | Pages: 13-29 | Research Paper
Published Online: June 01, 2024
Author Details
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Purpose: The main aim of this research is to examine the relationship between Occupational Stress (OS) and Turnover Intentions (TI) of employees, with a specific focus on assessing the potential mediating influence of Organizational Commitment (OC). Design/Methodology/Approach: A randomized technique was employed to select a sample of 628 private school instructors from J&K, India. The data was obtained using a meticulously designed questionnaire. The study employed Structural Equation Modeling (SEM) to investigate the causal linkages among OS, TI, and OC. Findings: The study revealed that occupational stressors adversely impacted employees’ psychological well-being, leading to heightened TI. However, OC acted as a mitigating factor against actual turnover by fostering positive sentiments among employees towards their respective organizations. Research Limitations: The study’s findings are limited to the context of private school instructors in J&K, India, and may not be generalizable to other industries or regions. In addition, the cross-sectional design of the data precludes the establishment of causal relationships with absolute certainty. Managerial Application: Organizations should prioritize strategies to reduce OS among employees to mitigate turnover intentions. Fostering OC through supportive work environments and recognition can serve as a valuable tool in retaining employees. Originality/Value: This study stands out by focusing on the interplay of OS and OC, and TI among private school instructors in Jammu and Kashmir, India. By addressing this specific context, the research offers novel insights into organizational behavior within a unique socio-cultural and geopolitical landscape. This targeted approach fills a crucial gap in the literature and provides valuable implications for HRM practices in the education sector.
Keywords
Occupational stress, employee turnover intention, organizational commitment, Structural Equation Modelling (SEM)