Artificial Intelligence and Automation in Human Resource Development: A Systematic Review

Kelechi Ekuma*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This systematic review synthesizes the existing literature on the impact of artificial intelligence (AI) and automation on Human Resource Development (HRD) practices and outcomes. The study explores how AI and automation affect HRD, highlighting specific HRD processes affected and their influence on outcomes. A comprehensive search was conducted across academic databases, HRD journals, and conference proceedings, resulting in a selection of relevant studies. The findings were analyzed through a narrative synthesis, with subgroup analyses based on specific HRD processes. The review provides insights into AI and automation implications for HRD researchers and practitioners. It also identifies research gaps and future directions.

Original languageEnglish
Pages (from-to)199-229
Number of pages31
JournalHuman Resource Development Review
Volume23
Issue number2
Early online date25 Dec 2023
DOIs
Publication statusPublished - 1 Jun 2024

Keywords

  • artificial intelligence
  • automation
  • Human resource development
  • human resource development practices
  • systematic review

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