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Artificial intelligence and employee assistance programmes in South Africa: A systematic review of ethical, cultural and digital transformation requirements for workforce well-being

Nthabeleng I. Mdhluli · AOSIS · 2026

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Orientation: Artificial intelligence is increasingly transforming employee assistance programmes (EAPs) by enabling proactive, data-driven and context-sensitive approaches to employee well-being. In South African context, however, socio-economic inequalities, pronounced digital divides and cultural and linguistic diversity continue to constrain the adoption of artificial intelligence (AI)-enhanced EAPs, leaving ethical, cultural and structural considerations insufficiently examined.
Research purpose: To address this gap, this study employed a systematic review of peer-reviewed literature from 2012 to 2024 to examine and synthesise the ethical, cultural and digital transformation requirements influencing the adoption of AI-driven EAPs in South African workplaces.
Motivation for the study: The integration of AI in EAPs has not been fully explored in the South African context, where challenges of diversity, ethics and digital equity remain prominent.
Research approach/design and method: In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines, a review of the Scopus, Web of Science, PubMed and EBSCOhost databases resulted in the identification of 50 relevant articles, which were analysed thematically.
Main findings: The synthesis produced six interconnected themes: (1) adoption and implementation dynamics (2) infrastructure and digital competency barriers (3) cultural and linguistic appropriateness (4) ethical governance and data privacy (5) economic and structural constraints and (6) employee well-being outcomes.
Practical/managerial implications: To unlock the potential of AI in EAPs, it is essential to create strategies that are culturally responsive, ethically governed and technologically inclusive.
Contribution/value-add: This review offers insights to assist policymakers, Human Resource (HR) professionals and EAP designers in developing fair and contextually relevant digital well-being interventions within South African workplaces.

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APA 7

Mdhluli, N. I. (2026). Artificial intelligence and employee assistance programmes in South Africa: A systematic review of ethical, cultural and digital transformation requirements for workforce well-being. https://doi.org/10.4102/sajip.v52i0.2354

MLA

Mdhluli, Nthabeleng I. "Artificial intelligence and employee assistance programmes in South Africa: A systematic review of ethical, cultural and digital transformation requirements for workforce well-being." 2026. https://doi.org/10.4102/sajip.v52i0.2354.

Chicago

Mdhluli, Nthabeleng I. 2026. "Artificial intelligence and employee assistance programmes in South Africa: A systematic review of ethical, cultural and digital transformation requirements for workforce well-being.". https://doi.org/10.4102/sajip.v52i0.2354.

Harvard

Mdhluli, N. I. 2026, Artificial intelligence and employee assistance programmes in South Africa: A systematic review of ethical, cultural and digital transformation requirements for workforce well-being, AOSIS, available at: https://doi.org/10.4102/sajip.v52i0.2354 [Accessed 25 Jun. 2026].

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Título
Artificial intelligence and employee assistance programmes in South Africa: A systematic review of ethical, cultural and digital transformation requirements for workforce well-being
Autor / colaboradores
Nthabeleng I. Mdhluli
Editorial
AOSIS
Año de publicación
2026
ISSN
0258-5200
ISSN
0258-5200
Idioma
eng

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