KMO2026
The 20th International Conference on Knowledge Management in Organizations
Theme: Reimagining Knowledge Management in the Age of Generative AI: Innovation, Sustainability, and Societal Futures
Venue: De La Salle University, Manila, Philippines
Date: 24th-27th August 2026
About the Conference
The conference is preceded by one day of free tutorials for participants who wish to learn state of the art of research relating to the topics of KMO and LTEC. The tutorials will be held on the 24th of August 2026. The conference itself commences on the 25th of August 2026.
The rapid proliferation of Generative Artificial Intelligence (GenAI) — including large language models, autonomous intelligent agents, and multimodal content creation systems — is reshaping the fundamentals of knowledge creation, management, and dissemination. This transformation compels a critical re-examination of established theoretical foundations, methodological approaches, and organizational practices. At stake is not only how knowledge is acquired, organized, and used, but also how digital intelligence intersects with sustainability, ethical governance, and societal resilience.
In an era marked by climate urgency, resource constraints, and the pursuit of equitable digital futures, GenAI demands that scholars interrogate not only epistemic shifts but also the environmental, social, and ethical implications of knowledge systems. This conference calls for interdisciplinary dialogue bridging knowledge management (KM), sustainability studies, cognitive science, information systems, organizational theory, and computer science. We invite scholars to explore how generative technologies transform knowledge processes, human–AI co-creation, and the governance of knowledge in support of sustainable, just, and responsible organizational ecosystems.
Conference Countdown
Key Themes & Research Directions
Submissions may include, but are not limited to, the following themes:
Theoretical Reconfigurations of Knowledge Management
• Re-evaluating established KM theories (e.g., SECI, tacit–explicit knowledge dynamics) in the GenAI era
• New epistemologies when humans and intelligent systems co-produce knowledge
• Sustainability-oriented knowledge theories: circular knowledge flows, ecological knowledge systems
Sustainable Organizational Learning & Decision-Making with AI
• GenAI’s role in adaptive and sustainable learning systems
• Human–AI boundaries in strategic judgment and expertise
• AI-supported decision-making for climate action, ESG goals, and resilience planning
Knowledge Processes, Automation & Sustainable Operations
• Automation of knowledge capture, codification, and dissemination
• AI-enabled dynamic, circular, and resource-efficient KM models
• Sustainable digital infrastructures and green knowledge architectures
Ethics, Governance & Responsible Knowledge Futures
• Governance mechanisms ensuring equitable, transparent, and ethical knowledge systems
• Carbon footprint, energy implications, and sustainability governance of AI knowledge infrastructures
• Ethics of authenticity, authorship, and trust in AI-generated knowledge
Methodological Innovation & Responsible Research
• Computational and hybrid research methods for KM
• Methods for evaluating sustainability performance of AI-enabled knowledge systems
• Responsible experimentation and transparent algorithmic research
Human–AI Co-Creation & Meaning-Making
• Cognitive, social, and cultural dimensions of AI-augmented creativity
• Human agency, well-being, and dignity in hybrid intelligence ecosystems
• Designing sustainable, human-centered AI knowledge practices
Trust, Authenticity & Socio-Environmental Responsibility
• Bias, fairness, and inclusion in knowledge systems
• Trust frameworks for ethical and sustainable AI-enabled decision-making
• Authenticity and knowledge integrity in digital ecosystems
Organizational, Societal & Sustainability Implications
• GenAI’s impact on global knowledge ecosystems, work cultures, and learning communities
• AI for public good, sustainability transitions, and circular innovation
• Knowledge equity and democratization in AI-driven societies
Knowledge Technologies & Data Ethics
• Generative AI as a transformative tool for knowledge creation and sustainability research
• Explainability, accountability, and sustainable data governance
• Socio-technical systems for sustainable knowledge analytics
Innovation, Inclusion & Sustainable Value Creation
• Knowledge-driven sustainable innovation and open innovation ecosystems
• KM for public sector innovation, social impact, and environmental stewardship
• Sustainable service innovation and education for future knowledge societies
Big Data, Cloud & Green Digital Transformation
• Green data pipelines, energy-efficient AI, and sustainable cloud architectures
• Big-data-enabled sustainability insights and responsible analytics
• Security, privacy, and ethical data management
Organizational & Social Dimensions of KM
• KM for sustainable development and SDGs
• Knowledge networks, community resilience, and societal learning
• Co-production and crowdsourcing for sustainable solutions
IoT, Decentralized Technologies & Sustainable KM Ecosystems
• IoT knowledge models for environmental monitoring and smart sustainability
• Decentralized systems (e.g., blockchain) for transparent and green knowledge flows
• Trust, governance, and secure knowledge infrastructures for sustainable cities
Governance, Strategy & People
• Designing sustainable KM strategies for future-ready enterprises
• Measurement and evaluation of responsible knowledge performance
• Intellectual property, ethical diffusion, and equitable knowledge access
This conference seeks to establish a forward-looking scholarly agenda that integrates generative intelligence, sustainability, and human-centred knowledge theory. We aim to advance knowledge management beyond technical advancement toward ethical, ecological, epistemic, and societal inquiry. By reconceptualizing KM in the generative AI era, we aspire to shape the next generation of knowledge science — one that supports human flourishing, climate resilience, and sustainable global knowledge ecosystems.
Papers should contain original contributions not published or submitted elsewhere and referenced to related state-of-the-artwork.
Tutorial Proposal
In addition to the conference, there will be pre-conference tutorials relating to the state of the art in the topics of the conference.
Benefits to Tutorial Presenters
We are offering the following benefits to the tutorial presenters:
1. Free full conference registration.
2. Free accommodation during the conference period.
3. Free airport transfer from/to airport to hotel.
For more details, go to the Tutorial Proposal Page.
Instruction for Authors
Papers reporting original and unpublished research results pertaining to the above topics are solicited. Full paper and all submissions deadlines are 10th February 2026. These papers will undergo an academic review process. Full paper manuscripts must be in English with a maximum length of 12 pages. All papers are blind reviewed.
IMPORTANT: Please do not include the author(s) information in the FIRST submission of the paper, for double-blind review to be carried out.
Review Process
KMO 2026 welcomes the submission of papers with reference to the topics listed in the call for papers. All submitted papers will undergo a double-blind peer review by at least three experts in the field, based on relevance, originality, significance, quality and clarity.
Submitting Papers
All papers must be formatted, with a maximum length of 12 pages, including figures and references. All proposed papers must be submitted in electronic form (WORD file) using the Paper Submission Page
https://easychair.org/conferences?conf=kmo20260
Publication
Accepted papers will be included in KMO 2026 Proceedings. At least one of the authors will be required to register and attend the symposium to present the paper in order to include the paper in the conference proceedings.
Special Issue
Authors of selected papers will be invited to extend and revise their papers to be submitted to a special issue of International Journal of Web Engineering and Technology (IJWET) published by Inderscience.
Important Dates and Deadlines
Submission of tutorial: 9th January 2026
Deadline for paper submission: 10th February 2026
Author Notification: 13th March 2026
Deadline for camera-ready paper: 3rd June 2026
Conference dates: August 24th–27th, 2026
Conference Organizers
| Primary Organizer (Financial and Administrative Coordination) | Lumina Foundation for Integral Human Development, Philippines |
| Co-organizer (Project Implementation, Academic Coordination, and Logistics) | Network of Professional Researchers and Educators, Inc. (NPRE), Philippines |
| Academic and Scientific Partners (Scientific Oversight, Paper Review, Program Development) | Knowledge Management in Organizations (KMO) International Scientific Committee |
| Host Institution (Venue Provider) | De La Salle University (DLSU), Manila, Philippines |
Conference Committee
| Conference Chair | Professor Lorna Uden Staffordshire University, UK |
| Program Chairs | Professor Iraklis Varlamis Harokopio University of Athens, Greece Local Chair Professor Fides del Castillo De La Salle University, Manila, Philippines |
| Program Committee | Professor Reinhard C. Bernsteiner Management Center, Innsbruck, Austria |
| Professor Gregory Ching National Chengchi University, Taiwan | |
| Professor Victor Hugo Medina Garcia Universidad Distrital Francisco José de Caldas, Colombia | |
| Professor Gan Keng Hoon Universiti Sains Malaysia, Malaysia | |
| Professor George Karabatis University of Maryland, Baltimore County, USA | |
| Professor Mariusz Kostrzewski Warsaw University of Technology, Poland | |
| Professor Eric Kin-Wai Lau City University, Hong Kong | |
| Professor Furen Lin National Tsing Hua University, Taiwan | |
| Professor Magdalena Marczewska University of Warsaw, Poland | |
| Dr. Jari Kaivo-Oja University of Turku. Finland | |
| Professor Christian Ploder MCI Management Center Innsbruck, Austria | |
| Professor Stephan Schlögl MCI Management Center Innsbruck, Austria | |
| Professor Dai SENOO Institute of Science, Tokyo, Japan | |
| Professor Lorna Uden Staffordshire University, UK | |
| Professor Iraklis Varlamis Harokopio University of Athens, Greece | |
| Professor Remy Magnier-Watanabe University of Tsukuba, Tokyo, Japan |
Contact Information
For Inquiries, contact us via:
Conference Chair
Professor Lorna Uden
L.Uden@staffs.ac.uk