Document Type : Original Article

Author

Assistant Professor, Management department, Administration sciences and economy faculty, Arak university, Arak, iran

10.22034/jkrs.2025.20328

Abstract

Purpose: A synergistic interaction exists between Knowledge Management (KM) and Artificial Intelligence (AI), where AI provides tools for creating and expanding the scope of organizational knowledge. This research aims to develop a model for leveraging AI to achieve KM objectives in universities.
Methodology: This study is applied and developmental in purpose and qualitative in nature, employing a Fuzzy Cognitive Mapping (FCM) strategy. Data were collected through semi-structured interviews. Participants consisted of faculty members from Arak University, selected via snowball sampling, resulting in 13 interviews. Modeling was performed using the Mental Modeler software.
Findings: The FCM model identified "intelligent assistants and chatbots" (with an impact rating of 2.2) as having the greatest direct influence on achieving KM goals. "Expanding the knowledge-based space in the organization" (impact rating: 2.42) was found to exert the strongest influence on the KM process. In terms of centrality within the network, "developing the knowledge capacity of individuals" (centrality: 3.96) and "expanding the knowledge-based space in the organization" (centrality: 3.75) emerged as the most pivotal components.
Conclusion: To effectively integrate AI for KM, the study recommends: providing adequate infrastructure for AI applications in universities; organizing workshops and up-to-date training programs to familiarize faculty and students with AI tools; incentivizing faculty to incorporate AI into teaching and research activities; and proactively addressing associated ethical challenges and considerations.
Value: This research offers organizations novel insights into the potential relationship between AI and KM, advocating for the use of advanced technologies to transform traditional KM systems into dynamic frameworks governed by specific rules and adaptive regulations.

Keywords

Main Subjects

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