Redefining Knowledge Management Systems: The Role of Generative AI in Innovation, Learning, and Knowledge Processes
A special issue of Systems (ISSN 2079-8954).
Deadline for manuscript submissions: 31 October 2026 | Viewed by 230
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- knowledge management systems
- generative AI
- knowledge processes
- innovation
- learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
