Artificial intelligence innovations in talent recruitment, retention, diversity mapping within South Africa: A meta narrative analysis

This paper uses existing studies to explore how Artificial Intelligence (AI) advancements enhance recruitment, retention, and the effective management of a diverse workforce in South Africa. The extensive literature review revealed key themes used to contextualize the study. This study uses a meta-narrative approach to literature to review, critique and express what the literature says about the role of AI in talent recruitment, retention and diversity mapping within South Africa. An unobtrusive research technique, documentary analysis, is used to analyze literature. The findings reveal that South Africa’s Human Resource Management (HRM) landscape, marked by a combination of approaches, provides an opportunity to cultivate alternative methods attuned to contextual conditions in the global South. Consequently, adopting AI in recruiting, retaining, and managing a diverse workforce demands a critical examination of the colonial/apartheid past, integrating contemporary realities to explore the potential infusion of contextually relevant AI innovations in managing South Africa’s workforce.

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Publication Details

Journal
Journal of Infrastructure Policy and Development
Published
2025-03-05
DOI
https://doi.org/10.24294/jipd10352
Primary Topic
Human Resource and Talent Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence innovations in talent recruitment, retention, diversity mapping within South Africa: A meta narrative analysis

Grace Oluwafunmilayo Obalade, Ashika Maharaj
Journal of Infrastructure Policy and Development
Human Resource and Talent Management
article

Artificial intelligence innovations in talent recruitment, retention, diversity mapping within South Africa: A meta narrative analysis

Grace Oluwafunmilayo Obalade, Ashika Maharaj
article en

Abstract

This paper uses existing studies to explore how Artificial Intelligence (AI) advancements enhance recruitment, retention, and the effective management of a diverse workforce in South Africa. The extensive literature review revealed key themes used to contextualize the study. This study uses a meta-narrative approach to literature to review, critique and express what the literature says about the role of AI in talent recruitment, retention and diversity mapping within South Africa. An unobtrusive research technique, documentary analysis, is used to analyze literature. The findings reveal that South Africa’s Human Resource Management (HRM) landscape, marked by a combination of approaches, provides an opportunity to cultivate alternative methods attuned to contextual conditions in the global South. Consequently, adopting AI in recruiting, retaining, and managing a diverse workforce demands a critical examination of the colonial/apartheid past, integrating contemporary realities to explore the potential infusion of contextually relevant AI innovations in managing South Africa’s workforce.

Journal of Infrastructure Policy and DevelopmentVol. 9(2)
Division of Human Resource Management (US)
Openalex Percentile: Top 95%
Human Resource and Talent Management
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