Using Internet of Things (IoT) in Agri-Food Supply Chains: A Research Framework for Social Good With Network Clustering Analysis

Yadav, Sanjeev, Choi, Tsan-Ming ORCID: 0000-0003-3865-7043, Luthra, Sunil, Kumar, Anil and Garg, Dixit (2023) Using Internet of Things (IoT) in Agri-Food Supply Chains: A Research Framework for Social Good With Network Clustering Analysis. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 70 (3). pp. 1215-1224.

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Official URL: http://dx.doi.org/10.1109/tem.2022.3177188

Abstract

Agri-food supply chains (AFSCs) are critical in our society. Proper management of AFSCs is crucial for improving social welfare. Over the past years, digitization in AFSCs has emerged as a new paradigm. In this context, the Internet of Things (IoT) is a growing approach, providing a huge amount of information to manage AFSCs. Thus, the purpose of this article is to examine extensive studies on IoT-based AFSC. Our research starts with the identification of 346 articles in the relevant field from the Web of Science (WoS) database by applying rigorous filtration. Using the VOS viewer software, a network analysis has been performed. With seven identified clusters, this article recognizes the role of IoT technologies as Cluster 1: agri-food safety, traceability and sustainability; Cluster 2: AFSC sustainability; Cluster 3: AFSC performance measurement; Cluster 4: AFSC resilience in disruption; Cluster 5: AFSC integration and traceability; Cluster 6: AFSC transparency and coordination, and finally Cluster 7 identifies the barriers in IoT adoption. Thus, findings of this study offer robust guidance to link IoT technologies and AFSCs together. Based on these findings, propositions are proposed and a research framework is established. We believe the findings would help engineering managers, researchers, and government regulating bodies better plan and manage AFSCs for social good.

Item Type:	Article
Uncontrolled Keywords:	Internet of Things, Sustainable development, Supply chains, Business, Databases, Wireless sensor networks, Network analyzers, Agri-food supply chains (AFSCs), future research propositions, Internet of Things (IoT), network-based cluster analysis, social good
Divisions:	Faculty of Humanities and Social Sciences > School of Management
Depositing User:	Symplectic Admin
Date Deposited:	19 Apr 2023 15:04
Last Modified:	15 Mar 2024 19:23
DOI:	10.1109/TEM.2022.3177188
Open Access URL:	https://repository.londonmet.ac.uk/7542/
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3169759