Blockchain in supply chain management: a review, bibliometric, and network analysis

Abstract

Blockchain is a distributed ledger technology that has attracted both practitioners and academics attention in recent years. Several conceptual and few empirical studies have been published focusing on addressing current issues and recommending the future research directions of supply chain management. To identify how blockchain can contribute to supply chain management, this paper conducts a systematic review through bibliometric and network analysis. We determined the key authors, significant studies, and the collaboration patterns that were not considered by the previous publications on this angel of supply chain management. Using citation and co-citation analysis, key supply chain areas that blockchain could contribute are pinpointed as supply chain management, finance, logistics, and security. Furthermore, it revealed that Internet of Things (IoT) and smart contracts are the leading emerging technologies in this field. The results of highly cited and co-cited articles demonstrate that blockchain could enhance transparency, traceability, efficiency, and information security in supply chain management. The analysis also revealed that empirical research is scarce in this field. Therefore, implementing blockchain in the real-world supply chain is a considerable future research opportunity.

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J. Mousavi: Conceptualization; Formal Analysis; Investigation; Methodology; Software; Validation; Original Draft; Visualization; Review and Editing

L. M. Naeni: Supervision; Project Admiration; Review and Editing

A. M. Fathollahi-Fard: Supervision; Review and Editing

U. Fiore: Review and Editing

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Correspondence to Amir M. Fathollahi-Fard.

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Moosavi, J., Naeni, L.M., Fathollahi-Fard, A.M. et al. Blockchain in supply chain management: a review, bibliometric, and network analysis. Environ Sci Pollut Res (2021). https://doi.org/10.1007/s11356-021-13094-3

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Keywords

  • Blockchain
  • Supply chain management
  • Literature review
  • Bibliometric
  • Network analysis