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An intelligent blockchain-based system for safe vaccine supply and supervision

Author

Listed:
  • Yong, Binbin
  • Shen, Jun
  • Liu, Xin
  • Li, Fucun
  • Chen, Huaming
  • Zhou, Qingguo

Abstract

Immunization is an indispensable mechanism for preventing infectious diseases in modern society, and vaccine safety is closely related to public health and national security. However, issues such as vaccine expiration and vaccine record fraud are still widespread in vaccine supply chains. Therefore, an effective management system for the supervision of vaccine supply chains is urgently required. As the next generation of core technology after the Internet, blockchain is designed to build trust mechanisms that can change current information management methods. Meanwhile, the development of machine learning technologies provides additional ways to analyze the data in information management systems. The main objective of this study is to develop a “vaccine blockchain” system based on blockchain and machine learning technologies. This vaccine blockchain system is designed to support vaccine traceability and smart contract functions, and can be used to address the problems of vaccine expiration and vaccine record fraud. Additionally, the use of machine learning models can provide valuable recommendations to immunization practitioners and recipients, allowing them to choose better immunization methods and vaccines.

Suggested Citation

  • Yong, Binbin & Shen, Jun & Liu, Xin & Li, Fucun & Chen, Huaming & Zhou, Qingguo, 2020. "An intelligent blockchain-based system for safe vaccine supply and supervision," International Journal of Information Management, Elsevier, vol. 52(C).
    • Handle: RePEc:eee:ininma:v:52:y:2020:i:c:s0268401219304505
    DOI: 10.1016/j.ijinfomgt.2019.10.009
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    Citations

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    Cited by:

    1. Chen, R. & Chen, K. & Ou, Carol, 2023. "Facilitating interorganizational trust in strategic alliances by leveraging blockchain-based systems: Case studies of two eastern banks," Other publications TiSEM 85ecf99c-76f0-416e-9604-d, Tilburg University, School of Economics and Management.
    2. Iskender Peker & Ilker Murat AR & Ismail Erol & Cory Searcy, 2023. "Leveraging blockchain in response to a pandemic through disaster risk management: an IF-MCDM framework," Operations Management Research, Springer, vol. 16(2), pages 642-667, June.
    3. Matthew Quayson & Chunguang Bai & Lihua Sun & Joseph Sarkis, 2023. "Building blockchain‐driven dynamic capabilities for developing circular supply chain: Rethinking the role of sensing, seizing, and reconfiguring," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4821-4840, November.
    4. Satish Kumar & Weng Marc Lim & Uthayasankar Sivarajah & Jaspreet Kaur, 2023. "Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis," Information Systems Frontiers, Springer, vol. 25(2), pages 871-896, April.
    5. Aloini, Davide & Benevento, Elisabetta & Stefanini, Alessandro & Zerbino, Pierluigi, 2023. "Transforming healthcare ecosystems through blockchain: Opportunities and capabilities for business process innovation," Technovation, Elsevier, vol. 119(C).
    6. Yadav, Amit Kumar & Shweta, & Kumar, Dinesh, 2023. "Blockchain technology and vaccine supply chain: Exploration and analysis of the adoption barriers in the Indian context," International Journal of Production Economics, Elsevier, vol. 255(C).
    7. Vincent Charles & Ali Emrouznejad & Tatiana Gherman, 2023. "A critical analysis of the integration of blockchain and artificial intelligence for supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 7-47, August.
    8. Eugenia Ama Andoh & Hao Yu, 2023. "A two-stage decision-support approach for improving sustainable last-mile cold chain logistics operations of COVID-19 vaccines," Annals of Operations Research, Springer, vol. 328(1), pages 75-105, September.
    9. Meike Schroeder & Sebastian Lodemann, 2021. "A Systematic Investigation of the Integration of Machine Learning into Supply Chain Risk Management," Logistics, MDPI, vol. 5(3), pages 1-17, September.
    10. Yigit Kazancoglu & Muruvvet Deniz Sezer & Melisa Ozbiltekin-Pala & Murat Kucukvar, 2022. "Investigating the role of stakeholder engagement for more resilient vaccine supply chains during COVID-19," Operations Management Research, Springer, vol. 15(1), pages 428-439, June.
    11. Xu, Xiaoping & Yan, Luling & Choi, Tsan-Ming & Cheng, T.C.E., 2023. "When Is It Wise to Use Blockchain for Platform Operations with Remanufacturing?," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1073-1090.
    12. Hu, Hui & Xu, Jiajun & Liu, Mengqi & Lim, Ming K., 2023. "Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning," Journal of Business Research, Elsevier, vol. 156(C).
    13. Kongmanas Yavaprabhas & Mehrdokht Pournader & Stefan Seuring, 2023. "Blockchain as the “trust-building machine” for supply chain management," Annals of Operations Research, Springer, vol. 327(1), pages 49-88, August.

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