Concept for strategic foresight knowledge development framework for Horizion Scanning Center

Joachim Klerx, Johannes Göllner, Christian Meurers, Klaus Mak

Publikation: Beitrag in Buch oder TagungsbandBuchkapitelBegutachtung


Big data analytics, predictive analytics, and artificial intelligence can contribute to improve the predictive power of risk models. In a world of increasing complexity and interdependency, the ability to capture access and utilize big data sets will determine success in risk management. In this publication, a framework for knowledge management of Horizon Scanning Centers (HSC) is proposed to improve the effectiveness of these centers, by using new methods of big data analytics. After discussing foresight as trigger for changes, with epistemic foundations and information logistics, a framework for knowledge performance and risk analysis is presented. This framework is designed to improve the effectiveness of HSC and thus to improve the governance of uncertainty in the age of big data.
TitelHandbook of Cyber-Development, Cyber-Democracy and Cyber-Defense
Redakteure/-innenElias G. Carayannis, David Campbell, Marios P. Efthymiopoulos
PublikationsstatusVeröffentlicht - 2018

Research Field

  • Innovation Dynamics and Modelling


  • Governance of uncertainty Big data OSINT Knowledge development Foresight Horizon scanning Z-model Information logistics Knowledge performance systems


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