Navigating the Fourth Industrial Revolution (4IR) Frontier: Strategic pathways for Artificial Intelligence (AI) adoption and entrepreneurial resilience in South African Small, Medium, and Micro Enterprises (SMMEs)

Mutshidza Kingsley MuendaORCID iD & Ramudingane KhamusiORCID iD 

Issue: Vol. 7 No.9 2026 Article 23 pp.2804 – 2817
DOI: https://doi.org/10.38159/ehass.20267923 Published online 2nd November 2026

© 2026 The Author(s). This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).

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The Fourth Industrial Revolution (4IR) presents both opportunities and challenges for Small, Medium, and Micro Enterprises (SMMEs) in developing economies, particularly in South Africa, where the digital divide and resource constraints remain significant. This study examines how adopting Artificial Intelligence (AI) can enhance entrepreneurial resilience and foster sustainable competitive advantage in SMMEs. Using a desktop research design, 38 academic and industry sources were systematically synthesised to identify drivers, barriers, and strategic pathways for digital transformation. The findings reveal that while AI technologies have substantial potential to improve operational efficiency, decision-making, and market responsiveness, SMMEs are hindered by financial limitations, inadequate technological infrastructure, skills shortages, and regulatory challenges. The study highlights the pivotal role of entrepreneurial leadership and dynamic capabilities in enabling firms to adapt to technological disruptions and sustain performance in volatile environments. Moreover, integrating supportive innovation ecosystems, including entrepreneurial universities and collaborative networks, is critical for knowledge transfer, capacity building, and access to innovation resources. A strategic framework is proposed that emphasises digital transformation, capability development, and ecosystem collaboration, providing actionable pathways for SMMEs to navigate the 4IR frontier. The research contributes to theory by contextualising the Resource-Based View (RBV), Dynamic Capabilities Theory, and Diffusion of Innovation Theory within resource-constrained, rural environments, thereby addressing the limitations of predominantly Western-centric models. In practice, it offers policymakers, business owners, and practitioners guidance on fostering innovation-driven growth, narrowing the digital divide, and building resilience among SMMEs.

Keywords: Artificial Intelligence, Digital Transformation; Entrepreneurial Leadership, Entrepreneurial Resilience, Fourth Industrial Revolution.

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Mutshidza Kingsley Muenda is a PhD candidate at the University of Venda, South Africa, and holds a Master of Commerce degree in Business Management. His research interests include entrepreneurship, innovation management, small, medium and micro enterprise development, digital transformation, and strategic management. His scholarly work focuses on how innovation and organisational capabilities contribute to business performance and resilience, particularly in resource-constrained environments.

Ramudingane Khamusi is a lecturer at the University of Venda under the Faculty of Management, Commerce, and Law. He has published in several peer-reviewed journals and is currently enrolled in the aforementioned university’s PhD program. He is a co-author of this paper on the adoption of artificial intelligence, digital transformation, and entrepreneurial resilience among South African SMMEs.

Muenda, Mutshidza Kingsley, and Ramudingane Khamusi. “Navigating the Fourth Industrial Revolution (4IR) Frontier: Strategic Pathways for Artificial Intelligence (AI) Adoption and Entrepreneurial Resilience in South African Small, Medium, and Micro Enterprises (SMMEs).” E-Journal of Humanities, Arts and Social Sciences 7, no.9 (2026): 2804 – 2817. https://doi.org/10.38159/ehass.20267923

© 2026 The Author(s). Published and Maintained by Noyam Journals. This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).

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