AI-Enabled Business Model Innovation and Entrepreneurial Resilience in Emerging Economies
DOI:
https://doi.org/10.59971/jumawa.v3i4.507Keywords:
Artificial Intelligence, Business Model Innovation, Emerging Economies, Entrepreneurial Resilience, Small and Medium EnterprisesAbstract
Artificial intelligence (AI) offers small and medium enterprises (SMEs) opportunities to innovate business models and strengthen entrepreneurial resilience amid market uncertainty and resource constraints. However, evidence connecting AI adoption, business model innovation (BMI), and entrepreneurial resilience remains fragmented, particularly in emerging economies. This study examines how AI-enabled BMI relates to entrepreneurial resilience and identifies organizational and environmental conditions shaping these relationships. A systematic literature review was conducted following PRISMA 2020 reporting principles. Searches performed on 19 October 2026 identified 42 candidate records, of which seven empirical studies published between 2024 and 2026 were retained for thematic synthesis. The findings indicate that AI can improve business outcomes when supported by organizational readiness, technological competence, and strategic alignment. BMI and entrepreneurial innovativeness are positively associated with resilience among Nigerian SMEs, while market turbulence may weaken some pathways linking entrepreneurial orientation and resilience. Government support also contributes to firm performance. However, no retained study directly tests the complete pathway from AI adoption through BMI to entrepreneurial resilience, and evidence from Asia is absent. AI adoption alone is insufficient to ensure resilience. SMEs should combine AI implementation with business model redesign, capability development, and strategic alignment. Future research should test the integrated AI–BMI–resilience pathway using longitudinal designs, objective resilience indicators, and empirical evidence from emerging economies in Asia and Africa.
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