Call for papers

19th International Conference on Knowledge Management in Organisations

Theme:  Generative AI and Knowledge Management: Innovations, Challenges, and Future Directions”

Venue: Universiti Malaysia Sabah, Kota Kinabalu Sabah, MALAYSIA

Dates:   4th-7th August 2025

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 the4th August 2025.   The conference itself commences on the 5th of August 2025.  

Generative AI is a powerful subset of artificial intelligence that leverages machine learning models, such as transformers and large language models, to create new content. This can include text, images, code, and other creative outputs. Knowledge management, on the other hand, involves the systematic approach of capturing, organizing, sharing, and effectively utilizing knowledge within an organization.

The convergence of these two fields has great implications for organizations. These include enhanced productivity; Improved Knowledge Access; Real-Time Knowledge Updating and Challenges.

This KMO conference aims to bring together academics, practitioners, and industry leaders to discuss and share insights on the intersection of generative AI and KM. It will focus on current advancements, applications, challenges, and future research opportunities. This conference provides an interdisciplinary platform for researchers, practitioners, and educators to present and discuss their most recent work, trends, innovation, and concerns as well as practical challenges encountered, and solutions adopted in the fields of Knowledge Management and generative AI.

The conference welcomes contributions from researchers and scholars to contribute original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Knowledge Management and generative AI at the conference. The conference solicits contributions of full papers that address themes and topics of the conference.  We are also interested in case studies that demonstrate how KM research strategies have been applied and the lessons learned. Papers including, but not limited to, the following:

 AI & knowledge Management

  • Applications of Generative AI in Knowledge Management:
  • Enhancing Knowledge Retrieval with AI
  • Ethics and Bias in Generative AI for KM
  • Human-AI Collaboration in Knowledge Management
  • Personalized Knowledge Delivery:
  • The Impact of Generative AI on Knowledge Worker Roles:
  • Technological Challenges in Integrating Generative AI and KM:
  • Data Privacy and Security Implications:
  • Developing and Measuring Success Metrics for AI in KM
  • Sustainability of Continuous AI Training
  • Advances in Generative AI for Organizational Learning
  • AI-Driven Knowledge Curation and Content Personalization:
  • Ethical AI and Governance
  • Augmenting Knowledge with Multimodal Generative AI
  • Future Trends and Emerging Technologies in AI and KM

Knowledge management in general

  • KM for Healthcare
  • KM for Smart cities
  • Knowledge engineering and management
  • Security and intrusion detection in KM
  • Methodology and best practices to implement big data driven KM
  • Measurement and evaluation of KM effectiveness
  • Knowledge Management in Practice
  • Case studies and best practices
  • KM in SME’s
  • Security and privacy issues
  • Knowledge Management Processes
  • Technologies for Knowledge Sharing
  • KM and machine learning
  • Cultural and organisational issues of KM
  • KM and related case studies
  • KM and mobile

 Social and Organisational aspects

  • Knowledge Management and supply chains
  • Benefits and Challenges in Adopting KM in the Public Sector
  • KM in Education
  • The role of KM in Tourism
  • KM and Sustainable Competitive Advantage
  • KM, HR and Organisational Culture
  • Knowledge Management and Knowledge Networks
  • Value Creation through Knowledge
  • Transferring Critical Knowledge to Maintain Competitiveness
  • Best practices and communities of practice
  • Competitive and Business Intelligence
  • Social Media and Social Network Technologies
  • Social media analytics
  • Knowledge management in innovative applications, such as healthcare information and networking
  • Knowledge management and value creation through innovation
  • Customer Knowledge in Innovation
  • Managing Knowledge for Global and Collaborative Innovations
  • Co-production of Knowledge
  • Knowledge Management for Social Change and Innovation
  • The Impacts of Knowledge Management in the Organisation
  • Knowledge management and sustainable development

Innovation Management

  • Design of innovation spaces
  • Future centres
  • Smart cities
  • Challenges in knowledge and creative economics
  • Open innovation
  • Societal innovation
  • Taxonomies and Ontologies
  • Legal and social aspects of knowledge and idea protection and diffusion

Innovation, Evaluation and Services

  • Innovative business models
  • Innovation and Knowledge
  • Innovation Management in the Public Sector Through KM
  • Re-thinking Knowledge Management
  • Innovative Processes and Models
  • Innovation in Education and Training
  • Practical examples of services innovation
  • Mobile Data Communications
  • KM Implementation Challenges and Opportunities
  • Knowledge Assets
  • Knowledge Measurement and Evaluation
  • Knowledge Sharing
  • Dynamic Knowledge Integration and Visualization
  • Knowledge Creation through Crowdsourcing
  • Social computing and knowledge management
  • Service Science
  • Management and Business Intelligence
  • Information security and knowledge protection
  • Knowledge Evaluation
  • KM Tools and Techniques
  • The Role of Semantic Web in Software and Service Development
  • Intelligent information systems
  • Predictive analytics

Big Data and Cloud Computing

  • Big Data Computing for Knowledge Management
  • Web 2.0 and Data Mining
  • Data and Knowledge Interoperability and Exchange
  • Large-scale network data analysis
  • Large data stream processing on cloud
  • Large incremental datasets on cloud
  • Security and privacy in Big Data
  • Big data and innovation
  • Data and Knowledge Modelling
  • Use Cases and Applications in Knowledge and Big Data analytics
  • Big data for knowledge management
  • Capture of big data for knowledge management
  • Big data and knowledge extraction
  • KM in the Cloud

Internet of Things

  • Knowledge representation models on the Internet of Things
  • Business information processing and business models on the Internet of Things
  • Management information systems of the Internet of Things
  • Knowledge retrieving and sharing mechanisms on the Internet of Things
  • Integration of heterogeneous information for the Internet of Things
  • Reasoning algorithms for the knowledge systems on the Internet of Things
  • Knowledge representation models on the Internet of Things
  • Governance, Ethics and Trust in IoT and Big Data in KM
  • Service oriented computing in the Internet of Things
  • Mobile tracking services on the Internet of Things
  • Context Awareness on the Internet of Things
  • Enterprise knowledge management on the Internet of Things
  • Service oriented computing on the Internet of Things
  • Privacy protection and security issues of the Internet of Things
  • Intelligent applications of the Internet of Things
  • Technologies of data management and integration on the Internet of Things
  • Business models for the Internet of Things
  • Development methodologies for IoT-based applications
  • IoT for health
  • Testing, debugging, validation, and QoS modelling of Internet of Things applications
  • Blockchain & knowledge
  • KM & blockchain
  • IOT & Blockchain

Papers should contain original contributions not published or submitted elsewhere and referenced to related state-of-the-artwork.