Complexity science approaches to the application foresight
Abstract
Purpose
This paper aims to present an exploration of recent work in complexity theory to explain why and how disruptive events happen in systems and how responses could be better, particularly in the policy‐making arena.
Design/methodology/approach
The main method applied is critical thinking combined with a review of selected aspects of complexity theory and a general experience of applying foresight. Several new and practical implications for foresight techniques and their application are derived. Promoting variation is examined as one way to make policies more resilient in a complex system.
Findings
Complexity science demonstrates that disruptive events do not need an associated trigger, as they are a normal part of a complex system. This insight implies that if we are always looking for weak signals we will certainly be caught unawares.
Practical implications
The assumption that disruptive events can be managed by planning and forecasting is not a workable option. Instead, policy making needs to assume that unexpected disruptive events will happen even with the best horizon scanning system in place. Foresight techniques need to be developed to embrace emergence and to provide capabilities such as reframing to visualise systems from very different perspectives, including those considered impossible now.
Originality/value
Although neither complexity theory nor the concept of reframing is new in the area of foresight, the derivation of practical implications for foresight techniques is original.
Keywords
Citation
Horton, A. (2012), "Complexity science approaches to the application foresight", Foresight, Vol. 14 No. 4, pp. 294-303. https://doi.org/10.1108/14636681211256080
Publisher
:Emerald Group Publishing Limited
Copyright © 2012, Emerald Group Publishing Limited