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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM54885
Volume:
9 |
12 |
Dec 2025
Pages:
1-24
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.
Business Management
Sri Padmavati Mahila Visvavidhyalayam, Tirupati
Professor Department of Business Management
Sri Padmavati Mahila Visvavidhyalayam, Tirupati
In India's knowledge economy, mental health now ranks among the most important, and least managed, factors shaping how well the workforce performs. Telangana, and Hyderabad above all, is home to a large cluster of multinational corporations (MNCs) and global capability centres, where employees deal with constant cognitive load, schedules that span time zones and demanding performance targets. Even so, few studies in the Indian MNC context have examined, in structural terms, how employees' mental health turns into organisational productivity or how it erodes it. Building on the dual-continua model of mental health and the Job Demands–Resources (JD–R) theory, this study analyses two things together: (i) the relationships among two dimensions of mental health (positive mental health and psychological distress), work engagement and two productivity outcomes (individual work productivity and organisational productivity); and (ii) the direct and indirect effects of mental health on productivity through work engagement. A structured questionnaire was administered to 200 employees of MNCs in the Hyderabad, Rangareddy and Medchal–Malkajgiri districts of Telangana. The data were analysed through exploratory factor analysis, confirmatory factor analysis and Structural Equation Modelling (SEM) with the Maximum Likelihood Estimation (MLE) method, and mediation was tested with bias-corrected bootstrapping. The measurement analysis supported a five-construct model with good fit (CMIN/DF = 1.088, RMSEA = 0.021, CFI = 0.980). Positive mental health was a significant positive predictor of work engagement (β = 0.355, p < 0.001), while psychological distress lowered it significantly (β = −0.424, p < 0.001). Work engagement in turn raised both individual work productivity (β = 0.259, p < 0.05) and organisational productivity (β = 0.250, p < 0.05). Positive mental health also had a direct positive effect on individual work productivity (β = 0.309, p < 0.01). However, neither mental health dimension affected organisational productivity directly, and psychological distress had no direct effect on individual work productivity. The bootstrapped indirect effects showed that work engagement partially mediated the effect of positive mental health on individual work productivity and fully mediated the remaining three mental health–productivity relationships. The model accounted for 43.0% of the variance in work engagement, 29.6% in individual work productivity and 14.4% in organisational productivity. These results suggest that poor mental health costs MNCs productivity mainly by reducing engagement, and that spending on employee mental health should be seen as a productivity strategy and not as a welfare expense.
KEYWORDS
Keeping Telangana's MNC workforce productive is vital for the state's economic growth and for its standing as a global business destination. This study examined the structural relationships among employees' mental health, work engagement and productivity in a sample of 200 MNC employees in Telangana, using a validated model estimated through the MLE method of SEM. The exploratory and confirmatory analyses showed that the theorised dimensions of psychological distress (occupational stress, anxiety and low mood, and burnout), positive mental health (emotional, psychological and social well-being) and work engagement (vigour, dedication and absorption) behaved as closely related facets of three higher-order constructs. CFA confirmed that a five-construct measurement model was reliable and valid, and the dimension-level model supported the higher-order structure of the mental health and engagement constructs. According to the structural model, positive mental health strengthens work engagement and psychological distress weakens it, and engagement then drives individual and organisational productivity. Positive mental health had a direct effect on individual work productivity as well. By contrast, the effects of psychological distress on both productivity outcomes, and the effect of positive mental health on organisational productivity, passed wholly through work engagement. Work engagement is thus the mechanism by which mental health turns into productive effort. The study concludes that employee mental health is a strategic determinant of organisational productivity in MNCs, and that money spent on reducing distress and building well-being is best understood as an investment in performance.
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Publication Date
12/30/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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