Making enterprise information systems resilient against disruptive events

a conceptual view

Conference Paper (2020)
Author(s)

Boris Shishkov (University of Library Studies and Information Technologies, Bulgarian Academy of Sciences, Interdisciplinary Institute for Collaboration and Research on Enterprise Systems and Technology (IICREST))

A. Verbraeck (TU Delft - Policy Analysis)

Research Group
Policy Analysis
DOI related publication
https://doi.org/10.1007/978-3-030-52306-0_3
More Info
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Publication Year
2020
Language
English
Research Group
Policy Analysis
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
38-54
ISBN (print)
9783030523053
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Abstract

Enterprise Information Systems (EIS) are designed to deal with normal variability in their inputs and data. Empowered by CONTEXT-AWARENESS, some EIS even count on sensors and/or data analytics for capturing changes outside of the system. Nevertheless, context-awareness would often fail when EIS are affected by (large-scale) disruptive events, such as disasters, virus outbreaks, or military conflicts. Hence, in the current paper, we take a step forward, by considering context-awareness for disruptive events. We combine context-awareness with risk management techniques, such as FMECA and FTA, that are useful for defining and mitigating risk events. To avoid having to define the likelihood for such very-low-probability disruptive risks, we use CONSEQUENCE-BASED RISK MANAGEMENT rather than traditional risk management. We augment this approach with the context-awareness paradigm, delivering a contribution that is two-fold: (i) We propose context-awareness-related measures and consequence-based-risk-management-related measures, to address disruptive events; (ii) We reflect this in a method featuring the application of context-awareness and risk management for designing robust and resilient EIS.

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