Machine learning to enhance employee recruitment: Identifying optimal person-environment fit

Abstract

Purpose

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

Design/methodology/approach

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Findings

Organizations perform better when the right candidates are hired. Through person-environment fit (P-E fit), firms can enhance recruitment and selection by ensuring appropriate fit at different levels of the construct.

Originality/value

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Citation

(2024), "Machine learning to enhance employee recruitment: Identifying optimal person-environment fit", Human Resource Management International Digest, Vol. 32 No. 2, pp. 35-37. https://doi.org/10.1108/HRMID-01-2024-0019