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A Blockchain-Based Supply Chain Quality Management Framework
Abstract
Recent quality scandals reveal the importance of quality management from a supply chain perspective. Although there has been many related studies focusing on supply chain quality management, the technologies used still have difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in three challenges brought to the traditional centralized trust mechanism: self-interests of supply chain members, information asymmetry in production processes, costs and limitations of quality inspections. Blockchain is a promising technology to address these problems. In this paper, we discuss how to improve the supply chain quality management by adopting the blockchain technology, and propose a framework for blockchain-based supply chain quality management.
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Cites
The Market for "Lemons": Quality Uncertainty and the Market Mechanism
Akerlof, G. A. (1970) · The Quarterly Journal of Economics · doi:10.2307/1879431 · Cited by 23,016
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Aggarwal, S., Chaudhary, R., Aujla, G. S., Kumar, N., Choo, K.-K. R., & Zomaya, A. Y. (2019) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2019.06.018 · Cited by 344
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The role of Internet of Things in food supply chain quality management: A review
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Metadata
- Authors
- Chen, S., Shi, R., Ren, Z., Yan, J., Shi, Y., & Zhang, J.
- Venue
- 2017 IEEE 14th International Conference on e-Business Engineering (ICEBE)
- Publisher
- IEEE
- Published
- 2017-11
- Pages
- 172-176
- OpenAlex
- W2770675950
- Cited by
- 310
- References
- 1
- FWCI
- 19.27
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Chen, S., Shi, R., Ren, Z., Yan, J., Shi, Y., & Zhang, J. (2017). A Blockchain-Based Supply Chain Quality Management Framework. 2017 IEEE 14th International Conference on e-Business Engineering (ICEBE). https://doi.org/10.1109/icebe.2017.34
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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.
