Blockchain technology in supply chain operations: Applications, challenges and research opportunities
Open accessAbstract
Blockchain is a technology with unique combination of features such as decentralized structure, distributed notes and storage mechanism, consensus algorithm, smart contracting, and asymmetric encryption to ensure network security, transparency and visibility. Blockchain has immense potential to transform supply chain (SC) functions, from SC provenance, business process reengineering to security enhancement. More and more studies exploring the use of blockchain in SCs have appeared in recent years. In this paper, we consider a total of 178 articles and examine all the relevant research done in the field associated with the use of blockchain integration in SC operations. We highlight the corresponding opportunities, possible societal impacts, current state-of-the-art technologies along with major trends and challenges. We examine several industrial sectors such as shipping, manufacturing, automotive, aviation, finance, technology, energy, healthcare, agriculture and food, e-commerce, and education among others that can be successfully revamped with blockchain based technologies through enhanced visibility and business process management. A future research agenda is established which lays the solid foundation for further studies on this important emerging research area.
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Flagged first, then by citations
Research works printed but not linked: 1
- Krishnan, S., Balas, V. E., Golden, J., Robinson, Y. H., Balaji, S., Kumar, R. (Eds.). 2020. Handbook of Research on Blockchain Technology. Academic Press.
Cited by
Sorted by citations
Automating Procurement Contracts in the Healthcare Supply Chain Using Blockchain Smart Contracts
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“Distributed networks help connect multi-organizational business networks such as supply chain in a synchronized manner [13].”
BackgroundExploratory literature review of blockchain in the construction industry
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“Dutta et al. [115] explore industrial sectors such as shipping, automotive, aviation, manufacturing energy, healthcare, etc., in which the use of blockchain technology can enhance efficiency in business process management.”
Background
- Authors
- Dutta, P., Choi, T.-M., Somani, S., & Butala, R.
- Affiliations
- Indian Institute of Technology Bombay (IN)
- Hong Kong Polytechnic University (HK)
- Corresponding author
- Dutta, Pankaj
- Venue
- Transportation Research Part E: Logistics and Transportation Review
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 142
- Pages
- 102067
- ISSN
- 1366-5545 (ISSN-L)
- PMC
- PMC7522652
- OpenAlex
- W3091614728
- Cited by
- 1,545
- References
- 191
- Citations by year
- 2026: 160 · 2025: 322 · 2024: 394 · 2023: 333 · 2022: 229 · 2021: 100 · 2020: 7
- FWCI
- 157.51
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Transportation Research Part E Logistics and Transportation Review (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Hong Kong Polytechnic University (P0009192)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Life Sciences › Agricultural and Biological Sciences › Food Science › Food Supply Chain Traceability
- Keywords
- blockchain, supply chain operations, supply chain transparency, provenance, smart contracts, consensus algorithms, public-key cryptography, supply chain security, business process reengineering, blockchain adoption barriers
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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