Artificial intelligence, decoloniality and epistemic justice in the South African public sector: Implications for human resource management in Industry 5.0
Monument Thulani Bongani Makhanya ORCID ↗
International Journal of Business Ecosystem & Strategy · 2025 · Vol. 7 / Issue 5 · 165-176
Publication metrics
External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.
Dimensions
Live provider badge. If unavailable, use the Dimensions link above.
Observed 21 Oct 2026, 00:14 UTC
Observed 21 Oct 2026 00:14 UTC
OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.
Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.
2017–2026 Annual history last updated:
Citations received
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
View data & coverage
2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.
Abstract
In the context of Industry 5.0, the convergence of Artificial Intelligence (AI), decoloniality, and epistemic justice presents both opportunities and challenges for Human Resource Management (HRM) in the South African public sector. This paper emanates because of the possibility that AI-driven HRM practices could reinforce colonial legacies, repeat systemic bias, and prolong epistemic exclusion if not led by justice-oriented perspectives. This paper aims to explore how concepts of ethical, decolonial, and epistemic justice might inform the use of AI in HRM to promote inclusivity and fairness. This paper employs bibliometric analysis to map and evaluate scholarly discourse on AI, decoloniality, and HRM, aiming to uncover research trends, gaps, and theoretical intersections. Findings indicate that although AI can be efficient and predictive, its application in HRM frequently ignores ethical requirements and local knowledge systems. To protect equity, the study recommends integrating decolonial ideas, participatory methods, and epistemic justice frameworks into HRM technology. This paper concludes that the South African public sector may reconcile technological innovation with transformation and social justice imperatives by ethically aligning AI in Industry 5.0.
Keywords: {'name': 'Industry 5.0 Artificial Intelligence (AI), Epistemic Justice, Decoloniality, Human Resource Management (HRM)'}
Authors & affiliations
Monument Thulani Bongani Makhanya
University of Zululand
Deposited references
Supplied references, not a list of publications citing this article.
No reference list supplied.