Bayesian belief networks in business continuity

Frank Phillipson, Edwin Matthijssen and Thomas Attema
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Frank Phillipson: TNO, Postbus 96800, The Netherlands

Journal of Business Continuity & Emergency Planning, 2014, vol. 8, issue 1, 20-30

Abstract: Business continuity professionals aim to mitigate the various challenges to the continuity of their company. The goal is a coherent system of measures that encompass detection, prevention and recovery. Choices made in one part of the system affect other parts as well as the continuity risks of the company. In complex organisations, however, these relations are far from obvious. This paper proposes the use of Bayesian belief networks to expose these relations, and presents a modelling framework for this approach.

Keywords: quantitative business continuity management; Bayesian networks; effect measurement in business continuity (search for similar items in EconPapers)
JEL-codes: M1 M10 M12 (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:aza:jbcep0:y:2014:v:8:i:1:p:20-30

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