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.
|Titel||Handbook of Cyber-Development, Cyber-Democracy and Cyber-Defense|
|Redakteure/-innen||Elias G. Carayannis, David Campbell, Marios P. Efthymiopoulos|
|Publikationsstatus||Veröffentlicht - 2018|
- Innovation Dynamics and Modelling
- Governance of uncertainty Big data OSINT Knowledge development Foresight Horizon scanning Z-model Information logistics Knowledge performance systems