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Proactive Employee Retention Using Machine Learning

Year: 2025

Type: article

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.

Source: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

DOI: 10.55041/ijsrem41800

Author: A. Sowmya Prasoona

Language: English

Topic: AI and HR Technologies

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: hybrid

OpenAlex ID: W4407877320

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