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Futures engineering in complex systems

Futures engineering in complex systems <jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>This paper attempts to apply complex theory in futures studies and addresses prediction challenges when the system is complex. The purpose of the research is to design a framework to engineer the futures in complex systems where components are divers and inter-related. Relations cannot be interpreted by cause and effect concept.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>First, the authors shaped a conceptual framework based on engineering, complex theory and uncertainty. To extract tacit knowledge of experts, an online questionnaire was developed. To validate the proposed framework, a workshop method was adapted with NetLogo simulation.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>Opinion of participants in the workshop which is collected through quantitative questionnaire shows that the framework helps us in understanding and shaping scenarios. Harnessing the complexity in developing the futures was the main objective of this paper with the proposed framework which has been realized based on the experience gained from the workshop.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>Iterative processes are very important to harness the complexity in systems with uncertainty. The novelty of the research is a combination of engineering achievements in terms of computation, simulation and applying tools with futures studies methods.</jats:p> </jats:sec> http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png foresight CrossRef

Futures engineering in complex systems

foresight , Volume 19 (3): 306-322 – Jun 12, 2017

Futures engineering in complex systems


Abstract

<jats:sec>
<jats:title content-type="abstract-subheading">Purpose</jats:title>
<jats:p>This paper attempts to apply complex theory in futures studies and addresses prediction challenges when the system is complex. The purpose of the research is to design a framework to engineer the futures in complex systems where components are divers and inter-related. Relations cannot be interpreted by cause and effect concept.</jats:p>
</jats:sec>
<jats:sec>
<jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title>
<jats:p>First, the authors shaped a conceptual framework based on engineering, complex theory and uncertainty. To extract tacit knowledge of experts, an online questionnaire was developed. To validate the proposed framework, a workshop method was adapted with NetLogo simulation.</jats:p>
</jats:sec>
<jats:sec>
<jats:title content-type="abstract-subheading">Findings</jats:title>
<jats:p>Opinion of participants in the workshop which is collected through quantitative questionnaire shows that the framework helps us in understanding and shaping scenarios. Harnessing the complexity in developing the futures was the main objective of this paper with the proposed framework which has been realized based on the experience gained from the workshop.</jats:p>
</jats:sec>
<jats:sec>
<jats:title content-type="abstract-subheading">Originality/value</jats:title>
<jats:p>Iterative processes are very important to harness the complexity in systems with uncertainty. The novelty of the research is a combination of engineering achievements in terms of computation, simulation and applying tools with futures studies methods.</jats:p>
</jats:sec>

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Publisher
CrossRef
ISSN
1463-6689
DOI
10.1108/fs-09-2016-0042
Publisher site
See Article on Publisher Site

Abstract

<jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>This paper attempts to apply complex theory in futures studies and addresses prediction challenges when the system is complex. The purpose of the research is to design a framework to engineer the futures in complex systems where components are divers and inter-related. Relations cannot be interpreted by cause and effect concept.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>First, the authors shaped a conceptual framework based on engineering, complex theory and uncertainty. To extract tacit knowledge of experts, an online questionnaire was developed. To validate the proposed framework, a workshop method was adapted with NetLogo simulation.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>Opinion of participants in the workshop which is collected through quantitative questionnaire shows that the framework helps us in understanding and shaping scenarios. Harnessing the complexity in developing the futures was the main objective of this paper with the proposed framework which has been realized based on the experience gained from the workshop.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>Iterative processes are very important to harness the complexity in systems with uncertainty. The novelty of the research is a combination of engineering achievements in terms of computation, simulation and applying tools with futures studies methods.</jats:p> </jats:sec>

Journal

foresightCrossRef

Published: Jun 12, 2017

References