Knowledge Management in the Age of Artificial Intelligence: New Paradigms for Entrepreneurship, Business, and Economics
Knowledge Management in the Age of Artificial Intelligence: New Paradigms for Entrepreneurship, Business, and Economics

Author(s): Nevzat Özel
Subject(s): Economy, Business Economy / Management, ICT Information and Communications Technologies, Business Ethics, Green Transformation
Published by: Икономически университет - Варна
Keywords: knowledge management; generative artificial intelligence; AI governance; entrepreneurial innovation; decision support systems; business model innovation; trustworthy AI
Summary/Abstract: Artificial intelligence is being addressed as a general-purpose technology that transforms opportunity recognition in entrepreneurship, business strategy, and macro-level dynamics of productivity and competitiveness. However, the economic value of artificial intelligence does not emerge automatically and cannot be explained solely by technical capacity; value creation is shaped by how organizations govern data, how they transform information into actionable organizational knowledge, and how they institutionalize mechanisms of learning, governance, and trust. This study integrates knowledge management theories with contemporary findings from the literature on generative artificial intelligence, human-artificial intelligence collaboration, and trustworthy artificial intelligence, and discusses how the role of artificial intelligence is being redefined across the processes of knowledge creation, storage and retrieval, sharing, and application. In addition, it demonstrates how generative artificial intelligence expands entrepreneurial capacity for exploration and experimentation by mainstreaming prompt-based knowledge work, and how it accelerates transformation through process automation, operational efficiency, and decision-support applications across functions. The study analyses how economic outcomes, such as productivity gains, the diffusion of innovation, and risks of inequality, are shaped through knowledge infrastructures and governance arrangements, and it proposes a knowledge management-driven strategic framework centered on knowledge audits, socio-technical workflow design, transparency and explainability, and continuous organizational learning. It ultimately argues that sustainable competitive advantage depends less on adopting artificial intelligence tools than on building artificial intelligence-ready knowledge ecosystems that coherently integrate technology, people, and institutions.

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