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Cited by 624

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

The power of a blockchain-based supply chain

Azzi, Rita, Chamoun, Rima Kilany, Sokhn, Maria·2019·Computers & Industrial Engineering

Abstract

Abstract A supply chain is a system of organizations, people, activities, information and resources involved in moving a product or service from supplier to customer. It is designed to maintain the quality of sensitive goods during the whole shipment. Centralized supply chain management systems expose the supply chain to corruption, fraud, and tampering. Blockchain has emerged as a new distributed information technology; it represents a new approach in supply chain area, where visibility and transparency of product flows are the principal challenges. This paper describes how the blockchain can be integrated into the supply chain architecture to create a reliable, transparent, authentic and secure system. To reach this goal, we studied the benefits of introducing the blockchain to the supply chain and the challenges encountered in a blockchain-based supply chain management ecosystem. We combined theoretical and real-world application studies to build our theory about the requirements for an efficient blockchain-based supply chain.

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Metadata

Authors
Azzi, R., Chamoun, R. K., & Sokhn, M.
Venue
Computers & Industrial Engineering
Publisher
Elsevier BV
Published
2019-09
Volume
135
Pages
582-592
ISSN
0360-8352 (ISSN-L)
OpenAlex
W2953100082
Cited by
624
References
33
FWCI
87.16
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The power of a blockchain-based supply chain. https://app.cochat.ai/papers/10.1016/j.cie.2019.06.042
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Azzi, R., Chamoun, R. K., & Sokhn, M. (2019). The power of a blockchain-based supply chain. Computers & Industrial Engineering. https://doi.org/10.1016/j.cie.2019.06.042

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.