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Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning

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  • Hu, Hui
  • Xu, Jiajun
  • Liu, Mengqi
  • Lim, Ming K.

Abstract

Vaccination offers health, economic, and social benefits. However, three major issues—vaccine quality, demand forecasting, and trust among stakeholders—persist in the vaccine supply chain(VSC), leading to inefficiencies.The COVID-19 pandemic has exacerbatedweaknesses in the VSC,while presenting opportunities to apply digital technologies to manageit.For the first time, this study establishes an intelligent VSC management system that provides decision support for VSC management during the COVID-19 pandemic. The system combines blockchain, internet of things (IoT), and machine learning that effectively address the three issues in the VSC. The transparency of blockchain ensures trust among stakeholders. The real-time monitoring of vaccine status by the IoT ensures vaccine quality. Machine learning predicts vaccine demand and conducts sentiment analysis on vaccine reviews to help companies improve vaccine quality. The present study also reveals the implications for the management of supply chains, businesses, and government.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:jbrese:v:156:y:2023:i:c:s0148296322009456
    DOI: 10.1016/j.jbusres.2022.113480
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    as
    1. Fahimnia, Behnam & Jabbarzadeh, Armin & Sarkis, Joseph, 2018. "Greening versus resilience: A supply chain design perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 129-148.
    2. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "Literature review: The vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 268(1), pages 174-192.
    3. De’, Rahul & Pandey, Neena & Pal, Abhipsa, 2020. "Impact of digital surge during Covid-19 pandemic: A viewpoint on research and practice," International Journal of Information Management, Elsevier, vol. 55(C).
    4. Ustundag, Alp & Tanyas, Mehmet, 2009. "The impacts of Radio Frequency Identification (RFID) technology on supply chain costs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 29-38, January.
    5. Sara Saberi & Mahtab Kouhizadeh & Joseph Sarkis & Lejia Shen, 2019. "Blockchain technology and its relationships to sustainable supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2117-2135, April.
    6. Stephen E. Chick & Sameer Hasija & Javad Nasiry, 2017. "Information Elicitation and Influenza Vaccine Production," Operations Research, INFORMS, vol. 65(1), pages 75-96, February.
    7. Aseem Kinra & Dmitry Ivanov & Ajay Das & Alexandre Dolgui, 2020. "Ripple effect quantification by supplier risk exposure assessment," International Journal of Production Research, Taylor & Francis Journals, vol. 58(18), pages 5559-5578, September.
    8. De Boeck, Kim & Decouttere, Catherine & Vandaele, Nico, 2020. "Vaccine distribution chains in low- and middle-income countries: A literature review," Omega, Elsevier, vol. 97(C).
    9. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).
    10. Kraus, Sascha & Schiavone, Francesco & Pluzhnikova, Anna & Invernizzi, Anna Chiara, 2021. "Digital transformation in healthcare: Analyzing the current state-of-research," Journal of Business Research, Elsevier, vol. 123(C), pages 557-567.
    11. Kristoffer Francisco & David Swanson, 2018. "The Supply Chain Has No Clothes: Technology Adoption of Blockchain for Supply Chain Transparency," Logistics, MDPI, vol. 2(1), pages 1-13, January.
    12. Abderahman Rejeb & John G. Keogh & Horst Treiblmaier, 2019. "Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management," Future Internet, MDPI, vol. 11(7), pages 1-22, July.
    13. Alam, Shahriar Tanvir & Ahmed, Sayem & Ali, Syed Mithun & Sarker, Sudipa & Kabir, Golam & ul-Islam, Asif, 2021. "Challenges to COVID-19 vaccine supply chain: Implications for sustainable development goals," International Journal of Production Economics, Elsevier, vol. 239(C).
    14. Tsolakis, Naoum & Niedenzu, Denis & Simonetto, Melissa & Dora, Manoj & Kumar, Mukesh, 2021. "Supply network design to address United Nations Sustainable Development Goals: A case study of blockchain implementation in Thai fish industry," Journal of Business Research, Elsevier, vol. 131(C), pages 495-519.
    15. Hwang, Syjung & Kim, Jina & Park, Eunil & Kwon, Sang Jib, 2020. "Who will be your next customer: A machine learning approach to customer return visits in airline services," Journal of Business Research, Elsevier, vol. 121(C), pages 121-126.
    16. Lin, Qi & Zhao, Qiuhong & Lev, Benjamin, 2020. "Cold chain transportation decision in the vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 283(1), pages 182-195.
    17. Min, Hokey, 2019. "Blockchain technology for enhancing supply chain resilience," Business Horizons, Elsevier, vol. 62(1), pages 35-45.
    18. Song Xu & Xiaotong Zhang & Lipan Feng & Wenting Yang, 2020. "Disruption risks in supply chain management: a literature review based on bibliometric analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3508-3526, June.
    19. de Villiers, Charl & Kuruppu, Sanjaya & Dissanayake, Dinithi, 2021. "A (new) role for business – Promoting the United Nations’ Sustainable Development Goals through the internet-of-things and blockchain technology," Journal of Business Research, Elsevier, vol. 131(C), pages 598-609.
    20. Lee, Sang M. & Trimi, Silvana, 2021. "Convergence innovation in the digital age and in the COVID-19 pandemic crisis," Journal of Business Research, Elsevier, vol. 123(C), pages 14-22.
    21. Sharma, Amalesh & Adhikary, Anirban & Borah, Sourav Bikash, 2020. "Covid-19′s impact on supply chain decisions: Strategic insights from NASDAQ 100 firms using Twitter data," Journal of Business Research, Elsevier, vol. 117(C), pages 443-449.
    22. Secundo, Giustina & Riad Shams, S.M. & Nucci, Francesco, 2021. "Digital technologies and collective intelligence for healthcare ecosystem: Optimizing Internet of Things adoption for pandemic management," Journal of Business Research, Elsevier, vol. 131(C), pages 563-572.
    23. Chowdhury, Priyabrata & Paul, Sanjoy Kumar & Kaisar, Shahriar & Moktadir, Md. Abdul, 2021. "COVID-19 pandemic related supply chain studies: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    24. Chatterjee, Swagato & Goyal, Divesh & Prakash, Atul & Sharma, Jiwan, 2021. "Exploring healthcare/health-product ecommerce satisfaction: A text mining and machine learning application," Journal of Business Research, Elsevier, vol. 131(C), pages 815-825.
    25. Tinglong Dai & Jing-Sheng Song, 2021. "Transforming COVID-19 vaccines into vaccination," Health Care Management Science, Springer, vol. 24(3), pages 455-459, September.
    26. Joel H. Steckel & Sunil Gupta & Anirvan Banerji, 2004. "Supply Chain Decision Making: Will Shorter Cycle Times and Shared Point-of-Sale Information Necessarily Help?," Management Science, INFORMS, vol. 50(4), pages 458-464, April.
    27. Carbonneau, Real & Laframboise, Kevin & Vahidov, Rustam, 2008. "Application of machine learning techniques for supply chain demand forecasting," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1140-1154, February.
    28. Ivanov, Dmitry & Dolgui, Alexandre, 2021. "OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications," International Journal of Production Economics, Elsevier, vol. 232(C).
    29. Bag, Sujoy & Tiwari, Manoj Kumar & Chan, Felix T.S., 2019. "Predicting the consumer's purchase intention of durable goods: An attribute-level analysis," Journal of Business Research, Elsevier, vol. 94(C), pages 408-419.
    30. Sarkar, Kankan & Khajanchi, Subhas & Nieto, Juan J., 2020. "Modeling and forecasting the COVID-19 pandemic in India," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    31. Adida, Elodie & Dey, Debabrata & Mamani, Hamed, 2013. "Operational issues and network effects in vaccine markets," European Journal of Operational Research, Elsevier, vol. 231(2), pages 414-427.
    32. Stephen E. Chick & Sameer Hasija & Javad Nasiry, 2017. "Information Elicitation and Influenza Vaccine Production," Operations Research, INFORMS, vol. 65(1), pages 75-96, February.
    33. Fan, Zhi-Ping & Che, Yu-Jie & Chen, Zhen-Yu, 2017. "Product sales forecasting using online reviews and historical sales data: A method combining the Bass model and sentiment analysis," Journal of Business Research, Elsevier, vol. 74(C), pages 90-100.
    34. Nagurney, Anna, 2021. "Supply chain game theory network modeling under labor constraints: Applications to the Covid-19 pandemic," European Journal of Operational Research, Elsevier, vol. 293(3), pages 880-891.
    35. Dabo Guan & Daoping Wang & Stephane Hallegatte & Steven J. Davis & Jingwen Huo & Shuping Li & Yangchun Bai & Tianyang Lei & Qianyu Xue & D’Maris Coffman & Danyang Cheng & Peipei Chen & Xi Liang & Bing, 2020. "Global supply-chain effects of COVID-19 control measures," Nature Human Behaviour, Nature, vol. 4(6), pages 577-587, June.
    36. Sreedevi, R. & Saranga, Haritha, 2017. "Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation," International Journal of Production Economics, Elsevier, vol. 193(C), pages 332-342.
    37. Abdel-Basset, Mohamed & Chang, Victor & Nabeeh, Nada A., 2021. "An intelligent framework using disruptive technologies for COVID-19 analysis," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    38. Gumus, Alev Taskin & Guneri, Ali Fuat & Ulengin, Fusun, 2010. "A new methodology for multi-echelon inventory management in stochastic and neuro-fuzzy environments," International Journal of Production Economics, Elsevier, vol. 128(1), pages 248-260, November.
    39. Ivanov, Dmitry, 2020. "Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    40. Jill E. Hobbs, 2020. "Food supply chains during the COVID‐19 pandemic," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(2), pages 171-176, June.
    41. 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).
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