Leveraging Blockchain for Supply Chain Transparency and Fraud Prevention with an Emphasis on Decentralized Trust Mechanisms and Real-Time Verification Protocols
Keywords:
Blockchain, Supply Chain Transparency, Fraud Prevention, Decentralized Trust, Real-Time Verification, Smart Contracts, Distributed Ledger Technology (DLT)Abstract
The complexity of modern supply chains has given rise to challenges such as fraud, lack of transparency, and inefficiencies. Blockchain technology offers a decentralized solution that enhances trust, security, and real-time verification in supply chain management. This paper explores the role of blockchain in ensuring supply chain transparency and preventing fraudulent activities. It emphasizes decentralized trust mechanisms and real-time verification protocols to establish an immutable, efficient, and reliable system for stakeholders. Furthermore, a review of relevant literature highlights key contributions in the field. The study also presents a comparative analysis of blockchain-enabled vs. traditional supply chains, backed by graphs, charts, and tables illustrating the advantages of blockchain integration.
References
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), 2117-2135.
Kouhizadeh, M., & Sarkis, J. (2018). Blockchain practices, potentials, and perspectives in greening supply chains. Sustainability, 10(10), 3652.
Tian, F. (2017). An agri-food supply chain traceability system for China based on RFID & blockchain technology. IEEE International Conference on Service Systems and Service Management, 2017, 1-6.
Casino, F., Dasaklis, T. K., & Patsakis, C. (2019). A systematic literature review of blockchain-based applications: Current status, classification, and open issues. Telematics and Informatics, 36, 55-81.
Kshetri, N. (2018). Blockchain’s roles in strengthening cybersecurity and protecting privacy. Telecommunications Policy, 42(4), 385-399.
Kamble, S. S., Gunasekaran, A., & Arha, H. (2019). Understanding the blockchain technology adoption in supply chains-Indian context: A structural model approach. International Journal of Production Research, 57(7), 2009-2033.
Queiroz, M. M., Telles, R., & Bonilla, S. H. (2019). Blockchain and supply chain management integration: A systematic review of the literature. Supply Chain Management: An International Journal, 24(6), 704-721.
Wang, Y., Han, J. H., & Beynon-Davies, P. (2019). Understanding blockchain technology for future supply chains: A systematic literature review and research agenda. Supply Chain Management, 24(1), 62-84.
Chang, S. E., Chen, Y. C., & Lu, M. F. (2019). Supply chain re-engineering using blockchain technology: A case of smart contract based tracking process. Technological Forecasting and Social Change, 144, 1-11.
Lin, Q., Wang, H., Pei, X., & Wang, J. (2019). Food safety traceability system based on blockchain and EPCIS. IEEE Access, 7, 20698-20707.
Francisco, K., & Swanson, D. (2018). The supply chain has no clothes: Technology adoption of blockchain for supply chain transparency. Logistics, 2(1), 2.
Caro, M. P., Ali, M. S., Vecchio, M., & Giaffreda, R. (2018). Blockchain-based traceability in Agri-Food supply chain management: A practical implementation. IoT Vertical and Topical Summit on Agriculture-Tuscany (IoT Tuscany), 2018 IEEE, 1-4.
Abeyratne, S. A., & Monfared, R. P. (2016). Blockchain-ready manufacturing supply chain using distributed ledger. International Journal of Research in Engineering and Technology, 5(9), 1-10.
Kim, H. M., & Laskowski, M. (2018). Towards an ontology-driven blockchain design for supply chain provenance. International Journal of Business Process Integration and Management, 9(1), 3-12.
Galvez, J. F., Mejuto, J. C., & Simal-Gandara, J. (2018). Future challenges on the use of blockchain for food traceability analysis. Trends in Analytical Chemistry, 107, 222-232.
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