Document Type : Original Article
Author
Ph.D. Graduate in Public Administration, Researcher and University Lecturer.
Abstract
Purpose: Higher education systems in recent decades have faced rapid technological, digital, and social transformations, which have introduced the concept of fifth-generation universities as a new horizon of development. Within this context, the purpose of this study is to model the process of synergy between knowledge management and generative artificial intelligence, and to extract the key components, mechanisms, and outcomes that drive the transformation of higher education,
Methodlogy: The study employed a grounded theory approach. Data were collected through semi-structured interviews with 20 faculty members, administrators, and policy experts from universities, as well as by analyzing official documents and reports. Interviews were transcribed and analyzed through open, axial, and selective coding. Sampling was conducted purposefully and continued until theoretical saturation was achieved. Qualitative data analysis software was used to organize the data and identify categories,
Findlings: The analysis led to the identification of five main categories: (1) digital transformation and technological infrastructure, (2) research innovation and data-driven scholarship, (3) personalized and flexible learning, (4) knowledge-oriented culture and human resource empowerment, and (5) intelligent policymaking and institutional support. These categories interact to form a conceptual model of knowledge management–AI synergy,
Conclusion: he structured integration of knowledge management and generative artificial intelligence enhances scientific innovation, improves the quality of teaching and learning, accelerates knowledge commercialization, and strengthens the social and international impact of universities,
Value: By proposing a context-specific and data-driven conceptual framework, this study provides practical insights for higher education leaders and policymakers in advancing toward fifth-generation universities.
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