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Information risks management in supply chains: an assessment and mitigation framework

Information risks management in supply chains: an assessment and mitigation framework Purpose – This paper aims to identify various information risks that could impact a supply chain, and develops a conceptual framework to quantify and mitigate them. Design/methodology/approach – Graph theory has been used to quantify information risks while interpretive structural modelling (ISM) is employed to understand the interrelationships among the enablers of information risks mitigation. Findings – The research presents a classification of the enablers of information risks mitigation according to their driving power and dependence. It also presents a risk index to quantify information risks. The research suggests that management should focus on improving the high driving power enabler variables. Practical implications – The proposed risk index and the hierarchy‐based model would help to develop suitable strategies to manage information risks in supply chains. Originality/value – The major contribution of this paper lies in the development of a framework to quantify information risks and a hierarchy based model for their mitigation in context of supply chains. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Enterprise Information Management Emerald Publishing

Information risks management in supply chains: an assessment and mitigation framework

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References (83)

Publisher
Emerald Publishing
Copyright
Copyright © 2007 Emerald Group Publishing Limited. All rights reserved.
ISSN
1741-0398
DOI
10.1108/17410390710830727
Publisher site
See Article on Publisher Site

Abstract

Purpose – This paper aims to identify various information risks that could impact a supply chain, and develops a conceptual framework to quantify and mitigate them. Design/methodology/approach – Graph theory has been used to quantify information risks while interpretive structural modelling (ISM) is employed to understand the interrelationships among the enablers of information risks mitigation. Findings – The research presents a classification of the enablers of information risks mitigation according to their driving power and dependence. It also presents a risk index to quantify information risks. The research suggests that management should focus on improving the high driving power enabler variables. Practical implications – The proposed risk index and the hierarchy‐based model would help to develop suitable strategies to manage information risks in supply chains. Originality/value – The major contribution of this paper lies in the development of a framework to quantify information risks and a hierarchy based model for their mitigation in context of supply chains.

Journal

Journal of Enterprise Information Management – Emerald Publishing

Published: Oct 23, 2007

Keywords: Supply chain management; Information management; Risk management; Graph theory

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