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Enhancing employee well-being through Digital HRM: Investigating ‘Work-Life Balance’ as a Mediator in the IT Sector

Research scholar, Research and PG Department of Commerce, MES Keveeyam college, valanchery Malappuram, affiliated to University of Calicut, Kerala, India

Advances in Consumer Research2025https://doi.org/10.61336/acr/25-05-11article
AJG 2ABDC B
Weight
0.37

Abstract

The rapid digital transformation in ‘Human resource management (HRM)’has reshaped workplace dynamics, influencing employee experiences and overall well-being. This study examines the relationship between Digital HRM practices and employee well-being in the IT sector, with ‘Work-Life Balance’ as a mediating variable. Data were collected from 235 IT professionals using a structured questionnaire and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that Digital HRM practices have a significant positive impact on employee well-being, with ‘Work-Life Balance’ acting as a partial mediator. These findings highlight the critical role of digital HR interventions in enhancing well-being while emphasizing the need for strategies that ensure ‘Work-Life Balance’ in technology-driven workplaces. The study contributes to HRM literature by integrating the Technology Acceptance Model (TAM) in the digital HR context and offers practical insights for HR practitioners aiming to leverage digital tools for employee-centric outcomes

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https://doi.org/https://doi.org/10.61336/acr/25-05-11

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@article{research2025,
  title        = {{Enhancing employee well-being through Digital HRM: Investigating ‘Work-Life Balance’ as a Mediator in the IT Sector}},
  author       = {Research scholar, Research and PG Department of Commerce, MES Keveeyam college, valanchery Malappuram, affiliated to University of Calicut, Kerala, India},
  journal      = {Advances in Consumer Research},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.61336/acr/25-05-11},
}

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Evidence weight

0.37

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

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
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.