Data-Driven Knowledge Management – DDKM


  • Data-driven knowledge management for improved decision making
  • Application of data-driven knowledge management in industry
  • Knowledge codification supported by data analytics
  • Data-driven technology-enhanced learning and unlearning
  • Knowledge-based business models
  • Knowledge protection in connected supply chains
  • Knowledge risk management in data-driven environments
  • New (alternative) governance mechanisms for data-driven knowledge management


Data-driven technologies are changing and shaping organizational processes, supply chains and business models. This also affects the way how knowledge can be is managed at the individual, organizational and inter-organizational level.
Data-driven technologies offer new opportunities to explicate information and knowledge from organization members, provide personalized decision support, provide learning material during the execution of business processes, or find suitable partners for joint knowledge creation and knowledge sharing. Data-driven technologies also entail the risk of increased knowledge leakage or other knowledge-related risks, which could implicate that an organization loses its competitive edge. Hence, both knowledge protection and an improved (knowledge) risk management become crucial activities of an integrated knowledge management in connected supply chains that are characterized by massive data exchange and collaboration among diverse market actors.

The scope of this workshop is to discuss how data-driven technologies impact the way how organizations manage knowledge to develop and maintain competitive advantage, to develop new knowledge-based business models or to renew existing business models. Additionally, methods and approaches to address the above-mentioned risks shall be discussed.


  • Univ.-Prof. Dr. Stefan Thalmann, (main contact) Karl-Franzens Universität, Graz, Österreich
  • Dr. Daniel Bachlechner, Fraunhofer Institut für System- und Innovationsforschung, Karlsruhe, Deutschland
  • Prof. Dr. Susanne Durst, School of Business, University of Skövde, Skövde, Schweden