Generative AI for Sustainable Knowledge Systems, Learning, and Innovation
A special issue of Knowledge (ISSN 2673-9585).
Deadline for manuscript submissions: 31 March 2027 | Viewed by 107
Editors
Interests: technology learning; HCI; activity theory; big data; knowledge management; web engineering; multimedia; artificial intelligence; information systems; service science; emotional intelligence; data science; health care; e-business; service science and innovation; mobile computing; cloud computing; neuroscience; social media; intelligent transport systems; Internet of Things; human-centered design; sustainability; educational and cognitive psychology; problem-based learning
Special Issues, Collections and Topics in MDPI journals
Interests: knowledge management; data mining; recommender systems; information systems; artificial intelligence; knowledge discovery; intelligent systems; data analytics
Special Issues, Collections and Topics in MDPI journals
Interests: educational administration; learning technology; higher education; AI in education; knowledge-based education; research methods; educational innovation; international and comparative education; governance and management of higher education; student learning and well-being; sustainability in education
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid development of Generative Artificial Intelligence (GenAI), including large language models, autonomous intelligent agents, and multimodal content creation systems, is transforming the ways in which knowledge is created, organized, shared, taught, and applied. These developments are reshaping knowledge management, organizational learning, education, decision-making, innovation, and human–AI collaboration. At the same time, they raise important questions concerning sustainability, ethics, trust, authorship, transparency, equity, and the future role of human expertise in knowledge-intensive environments.
We invite submissions to this Special Issue on “Generative AI for Sustainable Knowledge Systems, Learning, and Innovation.” The Special Issue will advance scholarly understanding of how GenAI is changing knowledge processes and how these transformations can support sustainable, responsible, and human-centered futures. The topic is closely aligned with the scope of Knowledge, particularly in relation to knowledge management, knowledge technologies, knowledge-based education and practice, organizational learning, knowledge sharing, innovation, and knowledge-based societies.
This Special Issue welcomes conceptual, empirical, methodological, review, and practice-oriented papers. We are especially interested in research that critically examines the role of GenAI in knowledge creation, knowledge governance, sustainable organizational learning, AI-supported education, and responsible innovation. Expanded and substantially revised versions of selected papers from LTEC 2026 and KMO 2026 are also welcome, provided that they offer clear additional contributions beyond the original conference proceedings version.
In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, the following:
- Generative AI and knowledge creation, sharing, and management;
- Human–AI co-creation, creativity, and meaning-making;
- Sustainable knowledge systems and responsible knowledge governance;
- AI-supported organizational learning and decision-making;
- Knowledge management for sustainable innovation and social impact;
- GenAI in education, learning technologies, and knowledge-based education;
- AI literacy, future skills, and human-centered learning environments;
- Trust, authenticity, authorship, and transparency in AI-generated knowledge;
- Data ethics, privacy, accountability, and responsible AI governance;
- Green digital transformation, sustainable AI infrastructures, and knowledge technologies;
- GenAI for public good, SDGs, community resilience, and knowledge equity;
- Methodological innovations for studying AI-enabled knowledge systems.
We look forward to receiving your contributions.
Prof. Dr. Lorna Uden
Prof. Dr. Iraklis Varlamis
Prof. Dr. Gregory S. Ching
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Knowledge is an international peer-reviewed open access quarterly 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 1000 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
- generative AI
- knowledge management
- sustainable knowledge systems
- organizational learning
- human–AI collaboration
- knowledge governance
- learning technology
- responsible AI
- sustainable innovation
- data ethics
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.
