Transparency has become a supply chain concern from competitive and reputational perspectives. It is also one of the riskiest and hardest aspects to introduce within logistics and supply chain management. Blockchain technology is now considered critical technology for supply chain transparency. The research on how a supply chain can more effectively evaluate, select and implement transparent blockchain technologies, especially with respect to sustainability, is only starting to receive attention by the academic and research community. This paper (1) introduces blockchain technology performance measures incorporating various sustainable supply chain transparency and technical attributes, and (2) introduces a new hybrid group decision method, integrated hesitant fuzzy set and regret theory, for blockchain technologies evaluation and selection. This method emphasises decision maker psychological characteristics and the variation in decision maker opinions. An illustrative application is developed to help supply chain managers and researchers understand the blockchain technologies selection decision. A sensitivity analysis is introduced to evaluate the effect of various psychological characteristics on decision outcomes. Methodological and managerial implications associated with the decision tool and application are introduced.
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