Hu Hui, Xu Jiajun, Liu Mengqi, Lim Ming K
Economic Development Research Centre, Wuhan University, China.
School of Economics and Management, Wuhan University, China.
J Bus Res. 2023 Feb;156:113480. doi: 10.1016/j.jbusres.2022.113480. Epub 2022 Dec 2.
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 exacerbated weaknesses in the VSC, while presenting opportunities to apply digital technologies to manage it. 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.
疫苗接种带来健康、经济和社会效益。然而，疫苗供应链中存在三个主要问题——疫苗质量、需求预测以及利益相关者之间的信任，这些问题一直存在，导致效率低下。新冠疫情加剧了疫苗供应链的薄弱环节，同时也为应用数字技术进行管理提供了机遇。本研究首次建立了一个智能疫苗供应链管理系统，为新冠疫情期间的疫苗供应链管理提供决策支持。该系统结合了区块链、物联网和机器学习，有效解决了疫苗供应链中的三个问题。区块链的透明度确保了利益相关者之间的信任。物联网对疫苗状态的实时监测确保了疫苗质量。机器学习预测疫苗需求并对疫苗评价进行情感分析，以帮助企业提高疫苗质量。本研究还揭示了对供应链、企业和政府管理的启示。
