Developing a Framework for Smart Supply Chain Risk Assessment

This research aims to provide a framework for assessing the smart supply chain risks using a quantitative approach. This study identifies the smart supply chain’s risk factors based on an extensive literature review and professionals’ interviews. Analyzing different concepts of the previous frameworks, a new one is proposed. This new framework is applied to the collected data from the survey with a sample size of 56 from Canadian supply chain professionals as respondents. We conducted an exploratory factor analysis to examine the construct validity of the survey results. Some constructs were developed after assessing risks for different smart supply chain risk factors. The survey’s results point out the most important risk factors for the smart supply chain, prioritized. These include risk of complexity, web application failure, talent shortage, and high-cost risk. The results also realize the most commonly implemented smart technologies in the supply chain sector: bar code and social media.