The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Blockchain in food supply chains: a literature review and synthesis analysis of platforms, benefits and challenges
Abstract
The globalisation of the food industry increases the complexity and the difficulty in enhancing efficiency and solving issues in food supply chains. Blockchain is a promising decentralised information technology that could benefit food supply chains by reducing transaction cost and time, increasing process transparency, security, and efficiency, as well as building trust among participants. In this paper, we introduce the major blockchain platforms currently used in food supply chains and conduct a synthesis analysis to explore the benefits and challenges of blockchain technology in the food industry. We demonstrate that blockchain enables unprecedented visibility at each step of the food supply chain, helps increase transaction transparency, food safety, and quality, and also reduces food fraud and waste. Furthermore, it serves as a digital solution for reducing operational costs and improving efficiency in food supply chains.
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Cites
(1994) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(94)92216-0 · Cited by 45,910
Blockchain technology and its relationships to sustainable supply chain management
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1533261 · Cited by 4,118
Ivanov, D., Dolgui, A., & Sokolov, B. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1488086 · Cited by 2,055
Food supply chains during the COVID‐19 pandemic
Hobbs, J. E. (2020) · Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie · doi:10.1111/cjag.12237 · Cited by 1,313
The rise of blockchain technology in agriculture and food supply chains
Kamilaris, A., Fonts, A., & Prenafeta-Boldύ, F. X. (2019) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2019.07.034 · Cited by 1,261
Understanding the Blockchain technology adoption in supply chains-Indian context
Kamble, S., Gunasekaran, A., & Arha, H. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1518610 · Cited by 960
Modeling the blockchain enabled traceability in agriculture supply chain
Kamble, S. S., Gunasekaran, A., & Sharma, R. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.05.023 · Cited by 957
Future challenges on the use of blockchain for food traceability analysis
Galvez, J. F., Mejuto, J. C., & Simal-Gandara, J. (2018) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2018.08.011 · Cited by 921
Blockchain for Supply Chain Traceability: Business Requirements and Critical Success Factors
Hastig, G. M., & Sodhi, M. S. (2020) · Production and Operations Management · doi:10.1111/poms.13147 · Cited by 901
Blockchain-based traceability in Agri-Food supply chain management: A practical implementation
Caro, M. P., Ali, M. S., Vecchio, M., & Giaffreda, R. (2018) · 2018 IoT Vertical and Topical Summit on Agriculture - Tuscany (IOT Tuscany) · doi:10.1109/iot-tuscany.2018.8373021 · Cited by 861
Metadata
- Authors
- Li, K., Lee, J.-Y., & Gharehgozli, A.
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2021-09-13
- Volume
- 61
- Issue
- 11
- Pages
- 3527-3546
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W3199087480
- Cited by
- 294
- References
- 69
- FWCI
- 38.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, K., Lee, J.-Y., & Gharehgozli, A. (2023). Blockchain in food supply chains: a literature review and synthesis analysis of platforms, benefits and challenges. International Journal of Production Research. https://doi.org/10.1080/00207543.2021.1970849
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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.
