Generative AI-Driven Business Model Innovation: Toward a Tension-Centric Conceptual Model in Product-Led Organizational Leadership

Generative Artificial Intelligence (GenAI) is reshaping business model innovation (BMI) by enabling new forms of value creation, automation, and creativity. However, integrating GenAI into product-led organizations introduces significant tensions as technology-driven dynamics conflict with established human-centric innovation logics. To address this gap, the present research proposes a tension-centric conceptual model grounded in the Unified Foundational Ontology (UFO). Developed through a dual-method approach, combining a systematic literature review with ontology-driven conceptual modeling, the model captures, classifies, and structures organizational tensions triggered by GenAI adoption. It identifies three primary tension types: strategic contradictions, operational dilemmas, and cultural frictions. The model also introduces managerial mechanisms such as reflexive ambidexterity, dialogical leadership, and participatory governance as pathways to navigate these tensions. By formally integrating GenAI capabilities, organizational logics, and leadership responses, the model contributes to organizational paradox theory and advances understanding of socio-technical challenges in GenAI-driven BMI. While offering both theoretical and practical insights, the model acknowledges limitations in capturing the dynamic evolution of tensions. Future research is encouraged to empirically validate and extend the model by exploring how tensions escalate over time and identifying new governance and leadership configurations in product-led contexts.

کلیدواژه ها:

Business Model Innovation ، Product-Led ، Organizational Tension ، Ontology-Based Modeling ، Generative AI