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

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 i...

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Main Authors: Yadav, Sanjeev, Choi, Tsan-Ming, Luthra, Sunil, Kumar, Anil, Garg, Dixit
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers 2023
Subjects:
Online Access:https://repository.londonmet.ac.uk/7542/1/TEM-Manuscript-agri-R1.doc
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author Yadav, Sanjeev
Choi, Tsan-Ming
Luthra, Sunil
Kumar, Anil
Garg, Dixit
author_facet Yadav, Sanjeev
Choi, Tsan-Ming
Luthra, Sunil
Kumar, Anil
Garg, Dixit
author_sort Yadav, Sanjeev
collection LMU
description 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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spelling oai:repository.londonmet.ac.uk:75422023-03-17T11:57:49Z http://repository.londonmet.ac.uk/7542/ 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 Luthra, Sunil Kumar, Anil Garg, Dixit 600 Technology 650 Management & auxiliary services 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. Institute of Electrical and Electronics Engineers 2023-03 Article PeerReviewed text en cc_by_nc_nd_4 https://repository.londonmet.ac.uk/7542/1/TEM-Manuscript-agri-R1.doc 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 https://doi.org/10.1109/tem.2022.3177188 10.1109/tem.2022.3177188
spellingShingle 600 Technology
650 Management & auxiliary services
Yadav, Sanjeev
Choi, Tsan-Ming
Luthra, Sunil
Kumar, Anil
Garg, Dixit
Using Internet of Things (IoT) in agri-food supply chains: a research framework for social good with network clustering analysis
title Using Internet of Things (IoT) in agri-food supply chains: a research framework for social good with network clustering analysis
title_full Using Internet of Things (IoT) in agri-food supply chains: a research framework for social good with network clustering analysis
title_fullStr Using Internet of Things (IoT) in agri-food supply chains: a research framework for social good with network clustering analysis
title_full_unstemmed Using Internet of Things (IoT) in agri-food supply chains: a research framework for social good with network clustering analysis
title_short Using Internet of Things (IoT) in agri-food supply chains: a research framework for social good with network clustering analysis
title_sort using internet of things iot in agri food supply chains a research framework for social good with network clustering analysis
topic 600 Technology
650 Management & auxiliary services
url https://repository.londonmet.ac.uk/7542/1/TEM-Manuscript-agri-R1.doc
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