Proactive Employee Retention Using Machine Learning

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.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-02-24
DOI
https://doi.org/10.55041/ijsrem41800
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Proactive Employee Retention Using Machine Learning

A. Sowmya Prasoona
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
AI and HR Technologies
article

Proactive Employee Retention Using Machine Learning

A. Sowmya Prasoona
article en

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.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(02)
Openalex Percentile: Top 96%
AI and HR Technologies
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