PrFAHP-GT: A New Privacy Risk Analysis Framework Using FAHP and Game Theory for Digital Supply Chain Management

Digital supply chain management systems (DSCMs) play an important role in modern industries, although there are also data security and privacy concerns associated with their deployments in real-life settings. One understudied area is how to assess privacy violations in DSCMs adequately. Therefore, in this article, we introduce a risk analysis framework (hereafter referred to as PrFAHP-GT), which identifies and recommends alternative strategies to mitigate the violation risks of client's sensitive personal information (SPI) in DSCMs based on the determinant criteria. First, we examine and identify factors from literature that influence the privacy violation risks of clients' SPI. Next, we collect 96 experts' responses to our questionnaire and evaluate the importance of determinant criteria considering the participants' opinions. Then, we apply the fuzzy analytical hierarchy process (FAHP) method to weight the criteria according to the frequency analysis of experts' viewpoints. In addition, we apply a collaborative game theory-based multiple criteria decision-making framework to direct alternative strategies considering the weighted scores of criteria as players' payoffs. Finally, our experimental results reveal that PrFAHP-GT provides strategic alternatives to reduce the privacy violation risks associated with clients' SPI in DSCMs.