Abstract
ABSTRACTBlockchain is a technology that combines a set of properties to guarantee network security, transparency, and visibility, including a decentralized structure, distributed notes and storage mechanism, consensus algorithm, intelligent contracts, and asymmetric encryption. Supply chain management activities, including supply chain management provenance, business process reengineering, and security enhancement, have enormous potential to be transformed by blockchain. This research uses the integrated interpretive structural modeling–cross‐impact matrix multiplication applied to classification (ISM‐MICMAC) technique to ascertain the hierarchical relationships and to comprehend the severity of interrelationships among various components in tackling our research questions. In MICMAC analysis, the enablers were classified into four categories based on their dependence and driving powers. The combined ISM‐MICMAC methodology employed for this study relies on experts’ individual evaluations and subjective assessments. Therefore, even with extreme caution, it is impossible to guarantee that the results are entirely devoid of personal biases. To further validate the linkages discovered in this study, we suggest employing more multiple‐criteria decision‐making (MCDM) methodologies and comparing the results with those of our research. Another method for confirming the results of the current study is to use an empirical research design based on survey methods.
Published Version
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