ICIKM is one of the leading international conferences for presenting novel ideas and fundamental advances in the fields of innovation and knowledge management. ICIKM seeks research and practice into work with innovation and knowledge that sparks action, decision making, change, etc. It will mark an important moment for reflection and advancement in the related field. 2022 11th International Conference on Innovation, Knowledge, and Management will be held in Hong Kong during June 25-27, 2022.
ICIKM provides a forum for academics, researchers, practitioners, Information Professionals from all over the world for discussion and exchange of ideas concerning theoretical and practical aspects of Innovation and Knowledge Management. The primary focus of the conference is on new and original research results in the areas of design, implementation, and applications of innovation and knowledge management.
The conference is soliciting state-of-the-art research papers in the following areas of interest:
INNOVATIONS
Technological Innovation, Product Innovation and Industrial Innovation
Financing and commercializing innovation
Human resource management issues in innovation
Managing collaborative innovation
Regional innovation systems, clusters and industrial networks
Service Science and Innovation
Sustainable Innovation and Technology Incubation Technological innovation, product innovation and industrial innovation
Inovation and Management Issues within Multinational Corporations
Innovation and Management of Renewable Resources
Innovation for Sustainable Development
Innovation in Services, Logistics and Supply-chain Management
Innovation Policy and Management
Innovation, Management and Technology
Innovation in Architecture and Urban planning
KNOWLEDGE MANAGEMENT
Knowledge Management Processes
Data/information extraction and integration
Management and Measurement of Intangibles
Frequent itemsets and sequential pattern mining
Mining and representing temporal and spatial data
Mining and representing text and semi-structured data
Mining and representing reviews, blogs & discussions
Pre-processing, post-processing and visual data mining
Mining and representing data streams, web content, structure and usage data
Novel data mining algorithms
Case Studies on Collaboration
Social Networks and Psychological Tools for Knowledge Management
Data Mining (store/discover/propagate)
Technologies for Knowledge Sharing
Link analysis and community discovery
Knowledge management and synthesis
Explanation and Knowledge Provenance
