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1709589 Vol 7 · Issue 12 Download Paper

Establishing a Blockchain-Enabled Multi-Industry Supply-Chain Analytics Exchange for Real-Time Resilience and Financial Insights

Yusuff Taofeek Adeshina Maduabuchi Okoji Ndukwe

Subject area: Science,Engineering and Technology  ·  Area of research: Blockchain

Abstract

The contemporary global supply chain ecosystem faces unprecedented challenges stemming from geopolitical uncertainties, climate-induced disruptions, and evolving consumer demands. This research presents a comprehensive framework for establishing a blockchain-enabled multi-industry supply chain analytics exchange designed to enhance real-time resilience and provide actionable financial insights across diverse industrial sectors within the United States. Through the integration of distributed ledger technology with advanced analytics capabilities, this study demonstrates how organizations can achieve unprecedented levels of supply chain transparency, predictive resilience, and collaborative optimization. The proposed framework addresses critical gaps in current supply chain management practices by establishing secure, interoperable data-sharing mechanisms that enable real-time visibility into multi-tier supplier networks while maintaining competitive confidentiality. The research findings indicate that blockchain-enabled supply chain analytics can reduce disruption response times by up to 67% while improving financial forecasting accuracy by 42% across participating organizations.

Keywords

Blockchain, Optimization, Climate Induced, Analytics, Supply chain.

References

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[2] Cui, Y., Gaur, V., & Liu, J. (2023). Supply chain transparency and blockchain design. Management Science, 70(5), 3245-3263. https://doi.org/10.1287/mnsc.2023.4851

[3] Duan, K., Pang, G., & Lin, Y. (2024). Exploring the current status and future opportunities of blockchain technology adoption and application in supply chain management. Journal of Digital Economy, 2, 244-288. https://doi.org/10.1016/j.jdec.2024.01.005

[4] Haffar, S., & Ozceylan, E. (2025). Blockchain in resilient and leagile supply chains: Research themes and opportunities. Journal of Industrial and Management Optimization, 21(2), 878-908. https://doi.org/10.3934/jimo.2024109

[5] Liu, Y., et al. (2023). Blockchain technology applied to supply chain management: A systems' analysis. Mobile Information Systems, 2023, 6046503. https://doi.org/10.1155/2023/6046503

[6] Lustenberger, M., & Spychiger, F. (2025). Blockchain in supply chains: an unfulfilled promise. Supply Chain Management, 30(2), 178-194. https://doi.org/10.1108/SCM-03-2024-0192

[7] Wu, Y. (2025). Blockchain-enabled sustainable supply chain management: a study on the impact of collaboration optimization. Management Decision. https://doi.org/10.1108/MD-08-2024-1769

[8] Yusuff, T. A. (2023d). Strategic implementation of predictive analytics and business intelligence for value-based healthcare performance optimization in U.S. health sector. International Journal of Advanced Computer Science and Applications (IJACSA), 14(11), 327–337. https://doi.org/10.14569/IJACSA.2023.0141142

[9] Yusuff, T. A. (2025). A neuro-symbolic artificial intelligence and zero-knowledge blockchain framework for a patient-owned digital-twin marketplace in U.S. value-based care. International Journal of Research Publication and Reviews, 6(6), 5804–5821. https://doi.org/10.55248/gengpi.6.0625.21105

[10] Yusuff, T. A. (2023b). Leveraging business intelligence dashboards for real-time clinical and operational transformation in healthcare enterprises. International Journal of Advanced Computer Science and Applications (IJACSA), 14(11), 359–370. https://doi.org/10.14569/IJACSA.2023.0141146

[11] Yusuff, T. A. (2023c). Multi-tier business analytics platforms for population health surveillance using federated healthcare IT infrastructures. International Journal of Advanced Computer Science and Applications (IJACSA), 14(11), 338–345. https://doi.org/10.14569/IJACSA.2023.0141143

How to cite this paper

Yusuff Taofeek Adeshina, Maduabuchi Okoji Ndukwe "Establishing a Blockchain-Enabled Multi-Industry Supply-Chain Analytics Exchange for Real-Time Resilience and Financial Insights" Iconic Research And Engineering Journals Volume 7 Issue 12 2024 Page 599-610
Yusuff Taofeek Adeshina, Maduabuchi Okoji Ndukwe "Establishing a Blockchain-Enabled Multi-Industry Supply-Chain Analytics Exchange for Real-Time Resilience and Financial Insights" Iconic Research And Engineering Journals, vol. 7, no. 12, Jun. 2024
Yusuff Taofeek Adeshina, Maduabuchi Okoji Ndukwe (2024). Establishing a Blockchain-Enabled Multi-Industry Supply-Chain Analytics Exchange for Real-Time Resilience and Financial Insights. Iconic Research And Engineering Journals, 7(12).
Yusuff Taofeek Adeshina, Maduabuchi Okoji Ndukwe "Establishing a Blockchain-Enabled Multi-Industry Supply-Chain Analytics Exchange for Real-Time Resilience and Financial Insights" Iconic Research And Engineering Journals, vol. 7, no. 12, Jun. 2024.
@article{1709589,
      author = {Yusuff Taofeek  Adeshina, Maduabuchi Okoji Ndukwe},
      title = {Establishing a Blockchain-Enabled Multi-Industry Supply-Chain Analytics Exchange for Real-Time Resilience and Financial Insights},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {7},
      number = {12},
      pages = {599-610},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709589.pdf},
      abstract = {The contemporary global supply chain ecosystem faces unprecedented challenges stemming from geopolitical uncertainties, climate-induced disruptions, and evolving consumer demands. This research presents a comprehensive framework for establishing a blockchain-enabled multi-industry supply chain analytics exchange designed to enhance real-time resilience and provide actionable financial insights across diverse industrial sectors within the United States. Through the integration of distributed ledger technology with advanced analytics capabilities, this study demonstrates how organizations can achieve unprecedented levels of supply chain transparency, predictive resilience, and collaborative optimization. The proposed framework addresses critical gaps in current supply chain management practices by establishing secure, interoperable data-sharing mechanisms that enable real-time visibility into multi-tier supplier networks while maintaining competitive confidentiality. The research findings indicate that blockchain-enabled supply chain analytics can reduce disruption response times by up to 67% while improving financial forecasting accuracy by 42% across participating organizations.},
      keywords = {Blockchain, Optimization, Climate Induced, Analytics, Supply chain.},
      month = {June},
  }