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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM41800

Proactive Employee Retention Using Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM41800

Volume:

9 |

2 |

Feb 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM41800

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.

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Authors

ASP

A. Sowmya Prasoona1

PRK

P. Rakesh Kumar2

TV

T. Vamsidhar3

RN

R. Nani4

SAR

SK. Althaf Rahaman5

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Abstract

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

Employee Retention Workforce Stability Human Resource Management Job Satisfaction Retention Strategies.

Cite This Article

A. Sowmya Prasoona1, P. Rakesh Kumar2, T. Vamsidhar3, R. Nani4, SK. Althaf Rahaman5, "Proactive Employee Retention Using Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 2, Feb 2025. https://doi.org/10.55041/IJSREM41800

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Publication Date

2/24/2025

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Double-Blind Peer Review

Review Rounds: 2

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0

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The authors declare no conflict of interest related to this research work.

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