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Given the high vulnerability of today’s supply chains to disruptions, measuring and managing supply chain vulnerability has become critical. In the attempt to support practice in reducing supply chain vulnerability, we (1) discuss and define the concept of supply chain vulnerability and (2) measure and compare supply chain vulnerability for various categories of firms. Normal Accident Theory and High Reliability Theory provide the theoretical foundations for the empirical study, and graph modelling is the method used to construct a measure for supply chain vulnerability. The empirical data largely confirm that there is a negative relationship between supply chain vulnerability and supply chain performance, a positive relationship between structural categories (firm size and production type) and supply chain vulnerability, and a positive relationship between supply chain vulnerability and managerial categories (logistics importance, supply chain risk planning, and supply chain risk management).




Wagner, S. M., & Neshat, N. (2012). A comparison of supply chain vulnerability indices for different categories of firms. International Journal of Production Research, 50(11), 2877–2891. https://doi.org/10.1080/00207543.2011.561540

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