CHALLENGES OF APPLYING GENERATIVE AI IN KNOWLEDGE MANAGEMENT: INSIGHTS FROM A SYSTEMATIC LITERATURE REVIEW
CHALLENGES OF APPLYING GENERATIVE AI IN KNOWLEDGE MANAGEMENT: INSIGHTS FROM A SYSTEMATIC LITERATURE REVIEW

Summary/Abstract: Rapid development of Generative Artificial Intelligence (GenAI) transforms the wayin which organizations create, process and manage knowledge. As this technology is more andmore integrated with business practices, understanding its impact on knowledge management(KM) is crucial. This paper presents a systematic literature review which aims at identificationand analysis of key challenges associated with the use of GenAI in the context of KM. Thereview uncovers 17 challenges, which are clustered into four groups: technological andfunctional limitations of GenAI; trust, acceptance, and social factors; organizational andcultural impact; and legal issues, and strategic risks. The research also draws future researchdirections, including the need of evaluation of the long-term influence of GenAI on decisionmaking, knowledge validation, user behavior, and organizational structures. The findingsoffer both theoretical insights as well as practical guidelines for researchers and practitioners,contributing to more structured and responsible approach towards integration of GenAIin knowledge-based environments.

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