Original Research

The impact of artificial intelligence on human resource management practices: An investigation

Thandukwazi R. Ncube, Kusangiphila K. Sishi, Jane P. Skinner
SA Journal of Human Resource Management | Vol 23 | a2960 | DOI: https://doi.org/10.4102/sajhrm.v23i0.2960 | © 2025 Thandukwazi R. Ncube, Kusangiphila K. Sishi, Jane P. Skinner | This work is licensed under CC Attribution 4.0
Submitted: 27 January 2025 | Published: 17 June 2025

About the author(s)

Thandukwazi R. Ncube, Department of Finance and Information Management, Faculty of Accounting and Informatics, Durban University of Technology, Durban, South Africa
Kusangiphila K. Sishi, Department of Applied Management, Faculty of Management Sciences, Durban University of Technology, Durban, South Africa
Jane P. Skinner, Faculty of Business and Management Sciences, Cape Peninsula University of Technology, Cape Town, South Africa

Abstract

Orientation: This study investigates the transformative impact of artificial intelligence (AI) technologies on traditional human resource management (HRM) practices across key industries.

Research purpose: This study aims to systematically review and analyse the literature on AI’s current integration into HRM practices across industries, focusing on studies published from 2020 to 2024.

Motivation for the study: The motivation for this study was to identify both key benefits and possible limitations in the current employment of AI in HRM practices with a view to making recommendations for the optimal deployment of AI tools.

Research approach/design and method: This study utilises the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) approach. Data sources include Google Scholar, Scopus and ScienceDirect.

Main findings: Findings reveal that while AI tools may significantly increase the efficiency and effectiveness of the hiring process, potentially enhance the accuracy and objectivity of performance appraisals and enable the implementation of more personalised training and development initiatives, several ethical implications and challenges remain. These include potential biases within AI algorithms, concerns about data privacy and over-surveillance of employees, along with exacerbating the ‘digital divide’ between those with access to technology and those without. The research also notes the limitations of concrete, quantifiable, metrics available in the literature thus far, for the extent of the benefits claimed.

Practical/managerial implications: The study offers recommendations for organisations to maximise the benefits of AI while addressing its associated challenges.

Contribution/value-add: The need for robust regulatory frameworks and best practices to ensure AI’s ethical deployment is clearly indicated. The findings aim to guide HR practitioners, policymakers and researchers in developing effective strategies for integrating AI into HRM practices ethically and responsibly while noting the current uncertainties regarding its concrete benefits and dangers.


Keywords

artificial intelligence technology; human resource recruitment efficiency; AI training programmes; ethical AI practices; AI regulatory frameworks.

JEL Codes

A10: General

Sustainable Development Goal

Goal 8: Decent work and economic growth

Metrics

Total abstract views: 7599
Total article views: 43785

 

Crossref Citations

1. Challenges and opportunities of artificial intelligence adoption in human resources management within the ICT industry in Armenia
Armen Grigoryan, Anahit Melkumyan, Lusine Karapetyan, Maria Sahakyan, Meri Badalyan, Bella Gabrielyan
Problems and Perspectives in Management  vol: 23  issue: 4  first page: 147  year: 2025  
doi: 10.21511/ppm.23(4).2025.11

2. A Conceptual Framework to Illustrate Cybersecurity Workforce Gaps and the Resilience of Critical Digital Infrastructure—A Multi-Sector Case Study
Samuel-Noah Osarenkhoe, Aihie Osarenkhoe
Journal of Software Engineering and Applications  vol: 19  issue: 05  first page: 171  year: 2026  
doi: 10.4236/jsea.2026.195009

3. Strategic Human Resource Management in the Digital Era: Technology, Transformation, and Sustainable Advantage
Carmen Nastase, Andreea Adomnitei, Anisoara Apetri
Merits  vol: 5  issue: 4  first page: 23  year: 2025  
doi: 10.3390/merits5040023

4. Knowledge-sharing behaviour as a pathway to competitive advantage: The nexus of artificial intelligence adoption and human resource competence
Sri Wahyu Lelly Hana Setyanti, Khanifatul Khusna, Ni Ketut Seminari, Kamillaeni Jamillah
SA Journal of Human Resource Management  vol: 24  year: 2026  
doi: 10.4102/SAJHRM.v24i0.3315