Impact of work-life balance on employees' well-being in selected manufacturing sectors in Kerala

Jyoti Kamboj et al.

International Journal of Happiness and Development2025https://doi.org/10.1504/ijhd.2025.147938article
AJG 1
Weight
0.44

What the paper says

In Kerala's manufacturing sector, employees often experience increased stress levels, diminished job satisfaction, and a decline in overall well-being due to the imbalance between work and personal lives. The demanding nature of their work and long hours often interfere with family time and personal pursuits, leading to strained relationships and health issues. This study utilises the JD-R Model to explore how WLB affects employees' well-being. The study collected data from 203 employees in selected manufacturing industries in Kerala and is analysed through SEM-AMOS. The results found strong positive relationships between WLB and each dimension of well-being. Specifically, employees with better WLB experience improved physical health, psychological well-being, stronger social relationships, and financial stability. The findings underscore the importance of WLB in enhancing employee welfare and organisational effectiveness in manufacturing industries. We provide valuable insights for organisations, employees, policymakers, and government to foster a healthier and more productive workforce.

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https://doi.org/https://doi.org/10.1504/ijhd.2025.147938

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@article{jyoti2025,
  title        = {{Impact of work-life balance on employees' well-being in selected manufacturing sectors in Kerala}},
  author       = {Jyoti Kamboj et al.},
  journal      = {International Journal of Happiness and Development},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijhd.2025.147938},
}

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Impact of work-life balance on employees' well-being in selected manufacturing sectors in Kerala

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Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.