Fifth-Loop Recursive Learning and Knowledge Management for Circular Economy Entrepreneurship: A Theory of Recursive Eco-System Co-Development

The accelerating convergence of artificial intelligence (AI), digital transformation, and circular economy standards is reshaping entrepreneurship by increasing the importance of organizational learning, knowledge management (KM), and ecosystem collaboration as sources of sustainable competitive advantage. Although research has established the strategic roles of KM, absorptive capacity, dynamic capabilities, and organizational learning, these perspectives remain fragmented. This conceptual paper addresses this gap by integrating the Knowledge Management for Sustainable Development (KMSD) framework with a novel recursive Five Learning Loops framework that conceptualizes organizational learning as a nested developmental process spanning learning modes from operational improvement to knowledge ecosystem co-development. The framework further incorporates six recursive managerial principles that operationalize KM across all nested learning stages and link KM processes, the evolution of organizational learning, AI-enabled decision support, entrepreneurship, and circular economy ecosystems. The paper makes four principal novel contributions. First, it develops the fifth learning loop construct, conceptualizing learning as reciprocal co-development within continuously evolving ecosystems. Second, it extends the KMSD framework by incorporating a developmental perspective on organizational learning capabilities. Third, it integrates research on KM, absorptive capacity, dynamic capabilities, entrepreneurship, and the circular economy into a unified conceptual framework. Fourth, it develops managerial implications concerning how AI and KM can jointly enhance adaptive, resilient, and sustainability-oriented entrepreneurial ventures while outlining propositions for future empirical research.