Artificial intelligence and business model innovation in entrepreneurial management

Sažetak

Artificial intelligence (AI) is transforming how organizations innovate and redesign business models, yet research connecting
AI and business model innovation (BMI) within entrepreneurial management remains fragmented. This paper presents a structured
thematic synthesis examining how AI capabilities influence BMI processes, governance mechanisms, and innovation outcomes.
Using a systematic synthesis approach grounded in BMI and digital transformation research, the review develops a four-layer integrative framework consisting of AI innovation affordances, managerial governance, organizational capabilities, and business model innovation processes and outcomes. The findings highlight that AI does not automatically generate new business models; instead, strategic value emerges through capability development, governance decisions, and iterative experimentation. By integrating AI readiness, dynamic capabilities, entrepreneurial conditions, as well as broader ecosystem and institutional factors into a layered conceptual model, the study contributes to theory development at the intersection of AI management and entrepreneurial innovation, while offering practical implications for entrepreneurs, SME leaders and policymakers navigating AI-enabled digital transformation.