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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM41800
Volume:
9 |
2 |
Feb 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.
Employee retention, the ability to keep a workforce, is a growing challenge for companies due to factors like compensation, culture, job satisfaction, and flexibility. As a key aspect of Human Resource Management, retention requires strategic efforts to prevent competitors from luring skilled employees. This paper examines why employees leave, the skills companies should prioritize, and methods to evaluate which employees to retain for long-term growth. Using survey data and a machine learning model, the study found that attending training sessions is the strongest predictor of retention. It recommends investing in continuous training programs to improve employee retention.
KEYWORDS
Publication Date
2/24/2025
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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