Development of Knowledge Management Theories: Classical Approaches and Modern Concepts

This article analyzes classical and contemporary approaches to knowledge management (KM) within organizations. It examines key theoretical concepts in this field from the mid-20th century to the present day, noting the transformation of understanding knowledge as an economic resource. Among current KM technologies are big data analytics, artificial intelligence (AI) applications, and machine learning. Organizational approaches to KM have also evolved, with the incorporation of crowdsourcing and open innovation. Case studies of successful applications of modern KM technologies are presented from both Russian and international companies. By utilizing a suite of KM technologies, particularly AI-driven information analysis, organizations can leverage accumulated experience within the business environment and forecast future changes. Open innovation technologies enable the expansion of the knowledge base. Combining traditional training methods with personalized approaches in a digital environment allows organizations to achieve more effective management of their intellectual capital. This, in turn, accelerates innovative development, creating a more resilient and adaptable organizational structure.

knowledge management, open innovation, intellectual capital, corporate knowledge, adaptive approaches, knowledge economy