Evidence map›Paper›PMID 36506475›Full record

ArticleJournal of business research2023

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

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

Abstract read
In one paragraph

Article in Journal of business research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Toward Sensor Measurement Reliability in Blockchains.Sensors (Basel, Switzerland) · 2023
    Article
  14. Article
  15. Does PM2.5 (Pollutant) Reduce Firms' Innovation Output?International journal of environmental research and public health · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hui HuEconomic Development Research Centre, Wuhan University, China.
Jiajun XuSchool of Economics and Management, Wuhan University, China.
Mengqi LiuBusiness School, Hunan University, China.
Ming K LimAdam Smith Business School, University of Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BILSTM, Bidirectional Long-Short Term MemoryBlockchainCNN, Convolutional Neural NetworkCOVID-19 pandemicdApp, Decentralized ApplicationDTs, Digital TechnologiesGRU, Gate Recurrent UnitIntelligent systemInternet of thingsIoT, Internet of ThingsIPFS, Interplanetary File SystemLSTM, Long-Short Term MemoryMachine learningRFID, Radio Frequency IdentificationRNN, Recurrent Neural NetworkVaccine supply chainVSC, Vaccine Supply Chain

Identifiers

PMID36506475
PMCPMC9718486

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.