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Bayesian belief networks in business continuity
Journal of Business Continuity & Emergency Planning,
8
(1),
20-30
(2014)
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
The full article is available to subscribers to the journal.
Author's Biography
Frank Phillipson is Senior Scientist with over 20 years’ experience in ICT network modelling and optimisation. He graduated in econometrics and operations research from VU University Amsterdam and in applied mathematics from Delft University of Technology. He obtained a PhD in applied mathematics at VU University Amsterdam. He has been involved in numerous projects for customers on fixed and mobile network optimisation and robustness. Frank is (co-)author of over 60 papers and has supervised many Master’s students working on their thesis at TNO.
Citation
Phillipson, Frank, Matthijssen, Edwin and Attema, Thomas (2014, September 1). Bayesian belief networks in business continuity. In the Journal of Business Continuity & Emergency Planning, Volume 8, Issue 1. https://doi.org/10.69554/MHKU6086.
© Henry Stewart
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Publications LLP