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Using Internet of Things (IoT) in agri-food supply chains: a research framework for social good with network clustering analysis

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Yadav, Sanjeev, Choi, Tsan-Ming, 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. ISSN 0018-9391

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, digitisation 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 paper is to examine extensive studies on IoT-based AFSC by notable academics in the form of leading participating institutions, authors, keywords, journals, and citation statistics. Our bibliometric based systematic approach 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 for the above fields. With seven identified clusters, this article recognized 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 identified 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.

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Title:
Using Internet of Things (IoT) in agri-food supply chains: a research framework for social good with network clustering analysis
Creators:
Yadav, Sanjeev, Choi, Tsan-Ming, Luthra, Sunil, Kumar, Anil and Garg, Dixit
Identification Number:
https://doi.org/10.1109/tem.2022.3177188
Official URL:
https://doi.org/10.1109/tem.2022.3177188
Date:
March 2023
Subjects:
600 Technology
600 Technology > 650 Management & auxiliary services
Department:
Guildhall School of Business and Law
Publisher:
Institute of Electrical and Electronics Engineers
Uncontrolled Keywords:
Internet of Things (IoT); agri-food supply chains (AFSCs); network-based cluster analysis; future research propositions; social good; review
Additional Information:
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Record
URI:
https://repository.londonmet.ac.uk/id/eprint/7542
Item Type:
Article
Depositing User:
Anil Kumar
Date Deposited:
03 May 2022 09:21
Revision:
16
Last Modified:
17 Mar 2023 11:57
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