Knowledge Management and Organizational Learning Systems: A Comprehensive Review

Abstract

Knowledge Management (KM) and Organizational Learning Systems (OLS) have become critical drivers of competitive advantage, innovation, and long-term organizational sustainability. In the knowledge-intensive economy, firms rely increasingly on their ability to capture, store, transfer, and apply knowledge. This paper provides a comprehensive examination of KM and OLS, outlining their conceptual foundations, mechanisms, enabling technologies, and organizational implications. By synthesizing insights from 25 scholarly sources, the study reviews theoretical models such as Nonaka’s SECI framework, Argyris and Schön’s learning theory, dynamic capabilities, and socio-technical perspectives. A comparative table highlights key differences and synergies between KM and OLS, including processes, tools, outcomes, and strategic relevance. The analysis shows that KM emphasizes systematic knowledge processes and technological enablers, while OLS emphasizes behavioral learning, adaptability, and culture. The discussion suggests that integrated KM–OLS systems enhance innovation, digital readiness, employee competencies, and strategic agility. The paper concludes by identifying future research directions in AI-driven knowledge systems, human–machine collaboration, and digital learning ecosystems.