Machine Learning Approaches for Predicting Employee Turnover: A Systematic Review

Machine Learning Approaches for Predicting Employee Turnover: A Systematic Review

ABSTRACT Employee turnover prediction remains a critical issue for organizations aiming to improve talent retention and minimize recruitment costs. The ability to predict when and why employees are likely to leave enables companies to take proactive measures to reduce turnover rates. This paper pres...

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Bibliographic Details
Main Authors: Hojat Talebi, Amid Khatibi Bardsiri, Vahid Khatibi Bardsiri
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Engineering Reports
Subjects:
employee retention
employee turnover prediction
HR analytics
machine learning algorithms
systematic review
Online Access:https://doi.org/10.1002/eng2.70298
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