Open Science Research Excellence

ICKMIM 2020 : International Conference on Knowledge and Innovation Management

Singapore, SG
November 19 - 20, 2020

Call for Papers

ICKMIM 2020 : International Conference on Knowledge and Innovation Management is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Knowledge and Innovation Management. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
  • Contemporary Issues in Knowledge Management and in Innovation Management
  • Creativity management
  • Challenges in Knowledge and Creative Economics
  • Theories and Practices of Knowledge Management and Innovation Management
  • Knowledge Management and Innovation Management in SMEs
  • Knowledge Management and Innovation Management in Government, Healthcare and NGOs
  • Intellectual Capital Management
  • Information Technology in Knowledge Creation and Dissimilation
  • Knowledge Innovation Systems
  • Social KM and Innovation (Web 2.0)
  • KM and Innovation for Big Data
  • Taxonomies and Ontologies
  • Corporate Governance and Knowledge Management and Innovation management
  • Legal and Social Aspects of Knowledge and Idea Protection and Diffusion
  • Building of Knowledge and Creative Cities and Communities
  • Cultural Aspects of Knowledge Management and Innovation Management
  • Intercultural and Comparative Studies in Knowledge Management and Innovation Management
  • Cultural Change and Organization Behaviour in KM and Innovation
  • Organizational Learning and Inter-organizational Learning
  • The Future Universities and Future Knowledge and Innovation Systems
  • Design of Knowledge and Innovation Spaces
  • Gamification
  • Open innovation
  • Knowledge driven innovation
  • Emerging Sciences in Knowledge Management and Innovation management, such as Knowledge Ergonomics and Neuronomics
  • Massive On-line Learning
  • Future Skills of Knowledge Workers
  • Knowledge Capture of Retiring Staff