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Understanding the Drivers of Industry 4.0 Technologies to Enhance Supply Chain Sustainability: Insights from the Agri-Food Industry

Guoqing Zhao Orcid Logo, Xiaoning Chen, Paul Jones Orcid Logo, Shaofeng Liu, Carmen Lopez, Leonardo Leoni, Denis Dennehy Orcid Logo

Information Systems Frontiers

Swansea University Authors: Guoqing Zhao Orcid Logo, Paul Jones Orcid Logo, Denis Dennehy Orcid Logo

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DOI (Published version): 10.1007/s10796-024-10539-1

Abstract

The sustainability of agri-food supply chains (AFSCs) is severely threatened by regional and global events (e.g., conficts, natural and human-made disasters, climate crises). In response, the AFSC industry is seeking digital solutions using Industry 4.0 (I4.0) technologies to enhance resilience and...

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Published in: Information Systems Frontiers
ISSN: 1387-3326 1572-9419
Published: Springer Science and Business Media LLC 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa66992
first_indexed 2024-07-08T16:22:22Z
last_indexed 2024-11-25T14:19:19Z
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recordtype SURis
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spelling 2024-11-22T13:49:09.8915484 v2 66992 2024-07-08 Understanding the Drivers of Industry 4.0 Technologies to Enhance Supply Chain Sustainability: Insights from the Agri-Food Industry 2ff29aa347835abe2af6d98fa89064b4 0009-0003-9537-9016 Guoqing Zhao Guoqing Zhao true false 21e2660aaa102fe36fc981880dd9e082 0000-0003-0417-9143 Paul Jones Paul Jones true false ba782cbe94139075e5418dc9274e8304 0000-0001-9931-762X Denis Dennehy Denis Dennehy true false 2024-07-08 CBAE The sustainability of agri-food supply chains (AFSCs) is severely threatened by regional and global events (e.g., conficts, natural and human-made disasters, climate crises). In response, the AFSC industry is seeking digital solutions using Industry 4.0 (I4.0) technologies to enhance resilience and efciency. However, why I4.0 adoption remains stubbornly low in the agri-food industry remains poorly understood. To address this gap, this study draws on middle-range theory (MRT) and uses thematic analysis, the fuzzy analytic hierarchy process, total interpretive structural modelling, and fuzzy cross-impact matrix multiplication applied to classifcation to produce insights from nine case studies in China that have invested in I4.0 technologies to improve their AFSC sustainability. New drivers of I4.0 unique to the agri-food industry are identifed, showing how I4.0 can contribute to the environmental, economic, and social dimensions of AFSC sustainability. The results have implications for AFSC researchers and practitioners with an interest in supply chain sustainability. Journal Article Information Systems Frontiers 0 Springer Science and Business Media LLC 1387-3326 1572-9419 Industry 4.0 ; Agri-food supply chains ; Fuzzy analytical hierarchy process ; Total interpretive structural modeling; Fuzzy cross-impact matrix multiplication applied to classification analysis 26 9 2024 2024-09-26 10.1007/s10796-024-10539-1 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2024-11-22T13:49:09.8915484 2024-07-08T17:19:35.9493184 Faculty of Humanities and Social Sciences School of Management - Business Management Guoqing Zhao 0009-0003-9537-9016 1 Xiaoning Chen 2 Paul Jones 0000-0003-0417-9143 3 Shaofeng Liu 4 Carmen Lopez 5 Leonardo Leoni 6 Denis Dennehy 0000-0001-9931-762X 7
title Understanding the Drivers of Industry 4.0 Technologies to Enhance Supply Chain Sustainability: Insights from the Agri-Food Industry
spellingShingle Understanding the Drivers of Industry 4.0 Technologies to Enhance Supply Chain Sustainability: Insights from the Agri-Food Industry
Guoqing Zhao
Paul Jones
Denis Dennehy
title_short Understanding the Drivers of Industry 4.0 Technologies to Enhance Supply Chain Sustainability: Insights from the Agri-Food Industry
title_full Understanding the Drivers of Industry 4.0 Technologies to Enhance Supply Chain Sustainability: Insights from the Agri-Food Industry
title_fullStr Understanding the Drivers of Industry 4.0 Technologies to Enhance Supply Chain Sustainability: Insights from the Agri-Food Industry
title_full_unstemmed Understanding the Drivers of Industry 4.0 Technologies to Enhance Supply Chain Sustainability: Insights from the Agri-Food Industry
title_sort Understanding the Drivers of Industry 4.0 Technologies to Enhance Supply Chain Sustainability: Insights from the Agri-Food Industry
author_id_str_mv 2ff29aa347835abe2af6d98fa89064b4
21e2660aaa102fe36fc981880dd9e082
ba782cbe94139075e5418dc9274e8304
author_id_fullname_str_mv 2ff29aa347835abe2af6d98fa89064b4_***_Guoqing Zhao
21e2660aaa102fe36fc981880dd9e082_***_Paul Jones
ba782cbe94139075e5418dc9274e8304_***_Denis Dennehy
author Guoqing Zhao
Paul Jones
Denis Dennehy
author2 Guoqing Zhao
Xiaoning Chen
Paul Jones
Shaofeng Liu
Carmen Lopez
Leonardo Leoni
Denis Dennehy
format Journal article
container_title Information Systems Frontiers
container_volume 0
publishDate 2024
institution Swansea University
issn 1387-3326
1572-9419
doi_str_mv 10.1007/s10796-024-10539-1
publisher Springer Science and Business Media LLC
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 0
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description The sustainability of agri-food supply chains (AFSCs) is severely threatened by regional and global events (e.g., conficts, natural and human-made disasters, climate crises). In response, the AFSC industry is seeking digital solutions using Industry 4.0 (I4.0) technologies to enhance resilience and efciency. However, why I4.0 adoption remains stubbornly low in the agri-food industry remains poorly understood. To address this gap, this study draws on middle-range theory (MRT) and uses thematic analysis, the fuzzy analytic hierarchy process, total interpretive structural modelling, and fuzzy cross-impact matrix multiplication applied to classifcation to produce insights from nine case studies in China that have invested in I4.0 technologies to improve their AFSC sustainability. New drivers of I4.0 unique to the agri-food industry are identifed, showing how I4.0 can contribute to the environmental, economic, and social dimensions of AFSC sustainability. The results have implications for AFSC researchers and practitioners with an interest in supply chain sustainability.
published_date 2024-09-26T20:32:33Z
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