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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM52968
Volume:
9 |
10 |
Oct 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The COVID-19 pandemic catalyzed an irreversible transformation in organizational work structures, with hybrid models emerging as the predominant paradigm in knowledge-intensive sectors. This study examines the impact of hybrid work arrangements on employee engagement and psychological well-being within the Indian IT sector, a context characterized by collectivist cultural values and traditionally hierarchical management structures. Employing a sequential mixed-methods design, we collected quantitative data from 312 employees across five major Indian IT firms and qualitative data through semi-structured interviews with 15 HR managers. Multiple regression analysis revealed that work-life integration (β = .41, p < .01) and autonomy (β = .32, p < .01) significantly predicted psychological well-being, while work-life integration (β = .35, p < .01) and autonomy (β = .28, p < .01) positively influenced employee engagement. Notably, declining social connectedness emerged as a significant predictor of reduced well-being (β = .25, p < .01). Qualitative findings identified critical organizational challenges including proximity bias, assimilation difficulties for new hires, erosion of informal organizational culture, and digital presenteeism. Grounded in the Job Demands-Resources model, we propose a strategic HR framework emphasizing Intentional Connectivity, Output-Based Performance Management, and Holistic Well-being Support. This research contributes to the growing body of literature on flexible work arrangements by providing context-specific insights for non-Western, collectivist cultures and offers actionable recommendations for HR practitioners navigating the post-pandemic organizational landscape.
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Publication Date
10/9/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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