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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62004
Volume:
10 |
4 |
April 2026
Pages:
1-3
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.
Department of management studies
Panimalar Engineering college,Poonamallee,Chennai,India
Department of management studies
Panimalar Engineering college,Poonamallee,Chennai,India
This study examines the role of HR Analytics as a strategic tool for improving employee retention and enhancing organizational decision-making in Wheels India Limited. HR analytics enables organizations to analyze workforce data, predict employee behavior, and implement data-driven HR strategies. The study adopts a descriptive research design using both primary and secondary data, including employee surveys, HR records, and statistical tools such as correlation, regression, chi-square, and ANOVA. The findings indicate that HR analytics significantly contributes to identifying employee turnover patterns, improving retention strategies, and supporting effective managerial decisions. The organization benefits from data-driven insights in areas such as performance management, employee engagement, and workforce planning. However, challenges such as data integration issues and limited analytical expertise were identified.
KEYWORDS
The study concludes that HR analytics is an effective strategic tool for enhancing employee retention and organizational decision-making in Wheels India Limited. Proper implementation of analytics improves workforce efficiency and supports long-term organizational success.
1. Ajiga, D. I., et al. (2024). Assessing the role of HR analytics in transforming employee retention and satisfaction strategies. International Journal of Social Science Exceptional Research. 2. Ravesangar, K., & Narayanan, S. (2024). Adoption of HR analytics to enhance employee retention in the workplace. Human Resources Management and Services. 3. Sakib, M. N., et al. (2024). How HR analytics evolved over time: A bibliometric analysis. Future Business Journal. 4. Kumar, C., et al. (2024). A study on HR analytical tools and techniques. Journal of Informatics Education and Research.
Publication Date
4/30/2026
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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