Concept for strategic foresight knowledge development framework for Horizion Scanning Center

Joachim Klerx; Johannes Göllner; Christian Meurers; Klaus Mak

Concept for strategic foresight knowledge development framework for Horizion Scanning Center

Joachim Klerx, Johannes Göllner, Christian Meurers, Klaus Mak

Center for Innovation Systems and Policy

Research output: Chapter in Book or Conference Proceedings › Book chapter › peer-review

Abstract

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.

Original language	English
Title of host publication	Handbook of Cyber-Development, Cyber-Democracy and Cyber-Defense
Editors	Elias G. Carayannis, David Campbell, Marios P. Efthymiopoulos
Pages	189-206
Number of pages	18
Publication status	Published - 2018

Research Field

Innovation Dynamics and Modelling

Keywords

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

Cite this

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title = "Concept for strategic foresight knowledge development framework for Horizion Scanning Center",

abstract = "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.",

keywords = "Governance of uncertainty Big data OSINT Knowledge development Foresight Horizon scanning Z-model Information logistics Knowledge performance systems, Governance of uncertainty Big data OSINT Knowledge development Foresight Horizon scanning Z-model Information logistics Knowledge performance systems",

author = "Joachim Klerx and Johannes G{\"o}llner and Christian Meurers and Klaus Mak",

note = "https://link.springer.com/referenceworkentry/10.1007/978-3-319-09069-6_36",

year = "2018",

language = "English",

isbn = "978-3-319-09068-9",

pages = "189--206",

editor = "Carayannis, {Elias G.} and David Campbell and Efthymiopoulos, {Marios P.}",

booktitle = "Handbook of Cyber-Development, Cyber-Democracy and Cyber-Defense",

}

Concept for strategic foresight knowledge development framework for Horizion Scanning Center. / Klerx, Joachim; Göllner, Johannes; Meurers, Christian et al.
Handbook of Cyber-Development, Cyber-Democracy and Cyber-Defense. ed. / Elias G. Carayannis; David Campbell; Marios P. Efthymiopoulos. 2018. p. 189-206.

Research output: Chapter in Book or Conference Proceedings › Book chapter › peer-review

TY - CHAP

T1 - Concept for strategic foresight knowledge development framework for Horizion Scanning Center

AU - Klerx, Joachim

AU - Göllner, Johannes

AU - Meurers, Christian

AU - Mak, Klaus

N1 - https://link.springer.com/referenceworkentry/10.1007/978-3-319-09069-6_36

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

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

M3 - Book chapter

SN - 978-3-319-09068-9

SP - 189

EP - 206

BT - Handbook of Cyber-Development, Cyber-Democracy and Cyber-Defense

A2 - Carayannis, Elias G.

A2 - Campbell, David

A2 - Efthymiopoulos, Marios P.

ER -

Concept for strategic foresight knowledge development framework for Horizion Scanning Center

Abstract

Research Field

Keywords

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