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.