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Cynefin, statistics and decision analysis

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  • S French

    (University of Warwick, Coventry, UK)

Abstract

David Snowden's Cynefin framework, introduced to articulate discussions of sense-making, knowledge management and organisational learning, has much to offer discussion of statistical inference and decision analysis. I explore its value, particularly in its ability to help recognise which analytic and modelling methodologies are most likely to offer appropriate support in a given context. The framework also offers a further perspective on the relationship between scenario thinking and decision analysis in supporting decision makers.

Suggested Citation

  • S French, 2013. "Cynefin, statistics and decision analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(4), pages 547-561, April.
    • Handle: RePEc:pal:jorsoc:v:64:y:2013:i:4:p:547-561
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    Cited by:

    1. Simon French & Nikolaos Argyris & Stephanie M. Haywood & Matthew C. Hort & Jim Q. Smith, 2019. "Communicating Geographical Risks in Crisis Management: The Need for Research," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 9-16, January.
    2. Katsikopoulos, Konstantinos V. & Durbach, Ian N. & Stewart, Theodor J., 2018. "When should we use simple decision models? A synthesis of various research strands," Omega, Elsevier, vol. 81(C), pages 17-25.
    3. Maru, Yiheyis Taddele & Sparrow, Ashley & Butler, James R.A. & Banerjee, Onil & Ison, Ray & Hall, Andy & Carberry, Peter, 2018. "Towards appropriate mainstreaming of “Theory of Change” approaches into agricultural research for development: Challenges and opportunities," Agricultural Systems, Elsevier, vol. 165(C), pages 344-353.

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