Redefining Knowledge Management Systems: The Role of Generative AI in Innovation, Learning, and Knowledge Processes
Special Issue Editors
Interests: knowledge technologies including search engines, portals, personal knowledge management, personal learning environments, and business process management
Special Issues, Collections and Topics in MDPI journals
Interests: knowledge management; innovation; GenAI and KM; cross-cultural management
Special Issue Information
Dear Colleagues,
In the era of digital transformation, Knowledge Management Systems (KMSs) are undergoing a profound evolution driven by the rise in generative artificial intelligence (GenAI) and other advanced technologies. This Special Issue invites contributions that explore how GenAI, large language models (LLMs), and related innovations are reshaping core knowledge processes—creation, retrieval, sharing, and application—within organizations and learning environments.
We welcome interdisciplinary research, conceptual frameworks, empirical studies, and case analyses that examine the integration of GenAI into KMSs to enhance innovation, accelerate decision-making, and support personalized learning. Topics of interest include AI-enabled knowledge discovery, conversational interfaces for knowledge access, GenAI-driven content generation, expanded Knowledge Repositories that incorporate internal and external knowledge, and the ethical and governance challenges of AI-enhanced KMSs.
This Special Issue aims to bridge the research–practice gap by highlighting real-world applications and theoretical advancements that demonstrate how GenAI can transform fragmented knowledge silos into dynamic, intelligent ecosystems. Contributions should also consider the implications for organizational culture, human–AI collaboration, and the balance between tacit and explicit knowledge.
By fostering dialogue among academics, technologists, and practitioners, this Special Issue seeks to chart the future of KMSs in a world increasingly shaped by intelligent systems, offering insights into sustainable innovation and lifelong learning.
Prof. Dr. Eric Tsui
Dr. Gang Liu
Dr. Muhammad Saleem Sumbal
Guest Editors
Manuscript Submission Information
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Keywords
- knowledge management systems
- generative AI
- knowledge processes
- innovation
- learning
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