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Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning.
Hu, Hui; Xu, Jiajun; Liu, Mengqi; Lim, Ming K.
  • Hu H; Economic Development Research Centre, Wuhan University, China.
  • Xu J; School of Economics and Management, Wuhan University, China.
  • Liu M; School of Economics and Management, Wuhan University, China.
  • Lim MK; Business School, Hunan University, China.
J Bus Res ; 156: 113480, 2023 Feb.
Article in English | MEDLINE | ID: covidwho-2131353
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 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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines Language: English Journal: J Bus Res Year: 2023 Document Type: Article Affiliation country: J.jbusres.2022.113480

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines Language: English Journal: J Bus Res Year: 2023 Document Type: Article Affiliation country: J.jbusres.2022.113480