Navigating the AI Revolution: Challenges and Opportunities for Integrating Emerging Technologies into Knowledge Management Systems. Systematic Literature Review

Teona Gelashvili-Luik^*Peeter VihmaIngrid Pappel

• Tallinn University of Technology, Tallinn, Estonia

Artificial intelligence is rapidly transforming organizational knowledge management practices by leveraging advanced techniques such as machine learning, neural networks, and fuzzy logic to enhance knowledge discovery, capture, storage, and sharing. While these advancements offer significant potential, effectively integrating artificial intelligence into knowledge management systems presents complex challenges, including data overload, user resistance, and the need for adaptable methodologies.This study systematically reviews and synthesizes current literature on the integration of artificial intelligence and emerging technologies into knowledge management systems, aiming to identify their impact on organizational knowledge processes, the primary challenges associated with this transformation, and effective strategies for successful artificial intelligence-driven knowledge management implementation. Emphasis is placed on the importance of strong leadership, robust system design, and innovative approaches to support virtual work environments.The review acknowledges the limitations of relying on secondary data and highlights the need for further empirical validation. As part of an ongoing research project, the synthesized findings will inform future empirical studies. The literature suggests that, when strategically leveraged, artificial intelligence can act as a powerful force multiplier in knowledge management, enabling organizations to achieve a competitive advantage in the knowledge-driven economy.