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Analysis of barriers to adopting Industry 4.0 to achieve agri‐food supply chain sustainability: A group‐based fuzzy analytic hierarchy process

Guoqing Zhao Orcid Logo, Chenhui Ye, Denis Dennehy Orcid Logo, Shaofeng Liu, Antoine Harfouche, Femi Olan

Business Strategy and the Environment, Volume: 33, Issue: 8, Pages: 8559 - 8586

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

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DOI (Published version): 10.1002/bse.3928

Abstract

Agri-food supply chains (AFSCs) need to become more sustainable, and Industry 4.0 (I4.0) is a crucial enabler. However, various barriers make adopting I4.0 technologies to achieve AFSC sustainability challenging. Few previous studies have examined China's agri-food industry. Through a literatur...

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Published in: Business Strategy and the Environment
ISSN: 0964-4733 1099-0836
Published: Wiley 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa67057
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spelling 2024-12-13T14:54:14.2401561 v2 67057 2024-07-10 Analysis of barriers to adopting Industry 4.0 to achieve agri‐food supply chain sustainability: A group‐based fuzzy analytic hierarchy process 2ff29aa347835abe2af6d98fa89064b4 0009-0003-9537-9016 Guoqing Zhao Guoqing Zhao true false ba782cbe94139075e5418dc9274e8304 0000-0001-9931-762X Denis Dennehy Denis Dennehy true false 2024-07-10 CBAE Agri-food supply chains (AFSCs) need to become more sustainable, and Industry 4.0 (I4.0) is a crucial enabler. However, various barriers make adopting I4.0 technologies to achieve AFSC sustainability challenging. Few previous studies have examined China's agri-food industry. Through a literature review and consultation of Chinese experts, we identify 27 barriers in six categories and prioritize these using a group-based fuzzy analytic hierarchy process to produce novel results. First, we identify six new I4.0 adoption barriers closely linked with China's economic, social and cultural environments, including acquisition of intelligent agricultural equipment subsidies based on guanxi. Second, our prioritization of barriers reveals that the key challenges to applying I4.0 are the increased cost of terminal logistics, acquisition of intelligent agricultural equipment subsidies based on guanxi, low compatibility of I4.0 technologies with existing agricultural equipment, and problems with the government subsidy model. These results have managerial implications for governments and knowledge dissemination organizations. Journal Article Business Strategy and the Environment 33 8 8559 8586 Wiley 0964-4733 1099-0836 Agri-food supply chain sustainability, barriers to identification and prioritization, China&apos;s economic, grand theory, group-based fuzzy analytic hierarchy process, Industry 4.0 adoption, social and cultural environments 12 12 2024 2024-12-12 10.1002/bse.3928 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2024-12-13T14:54:14.2401561 2024-07-10T11:51:03.2810350 Faculty of Humanities and Social Sciences School of Management - Business Management Guoqing Zhao 0009-0003-9537-9016 1 Chenhui Ye 2 Denis Dennehy 0000-0001-9931-762X 3 Shaofeng Liu 4 Antoine Harfouche 5 Femi Olan 6 67057__31162__f12785b92f23496d990d5a610f238f3b.pdf Bus Strat Env - 2024 - Zhao - Analysis of barriers to adopting Industry 4 0 to achieve agri‐food supply chain.pdf 2024-08-26T07:02:17.2446105 Output 3011704 application/pdf Version of Record true © 2024 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License. true eng http://creativecommons.org/licenses/by/4.0/
title Analysis of barriers to adopting Industry 4.0 to achieve agri‐food supply chain sustainability: A group‐based fuzzy analytic hierarchy process
spellingShingle Analysis of barriers to adopting Industry 4.0 to achieve agri‐food supply chain sustainability: A group‐based fuzzy analytic hierarchy process
Guoqing Zhao
Denis Dennehy
title_short Analysis of barriers to adopting Industry 4.0 to achieve agri‐food supply chain sustainability: A group‐based fuzzy analytic hierarchy process
title_full Analysis of barriers to adopting Industry 4.0 to achieve agri‐food supply chain sustainability: A group‐based fuzzy analytic hierarchy process
title_fullStr Analysis of barriers to adopting Industry 4.0 to achieve agri‐food supply chain sustainability: A group‐based fuzzy analytic hierarchy process
title_full_unstemmed Analysis of barriers to adopting Industry 4.0 to achieve agri‐food supply chain sustainability: A group‐based fuzzy analytic hierarchy process
title_sort Analysis of barriers to adopting Industry 4.0 to achieve agri‐food supply chain sustainability: A group‐based fuzzy analytic hierarchy process
author_id_str_mv 2ff29aa347835abe2af6d98fa89064b4
ba782cbe94139075e5418dc9274e8304
author_id_fullname_str_mv 2ff29aa347835abe2af6d98fa89064b4_***_Guoqing Zhao
ba782cbe94139075e5418dc9274e8304_***_Denis Dennehy
author Guoqing Zhao
Denis Dennehy
author2 Guoqing Zhao
Chenhui Ye
Denis Dennehy
Shaofeng Liu
Antoine Harfouche
Femi Olan
format Journal article
container_title Business Strategy and the Environment
container_volume 33
container_issue 8
container_start_page 8559
publishDate 2024
institution Swansea University
issn 0964-4733
1099-0836
doi_str_mv 10.1002/bse.3928
publisher Wiley
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 1
active_str 0
description Agri-food supply chains (AFSCs) need to become more sustainable, and Industry 4.0 (I4.0) is a crucial enabler. However, various barriers make adopting I4.0 technologies to achieve AFSC sustainability challenging. Few previous studies have examined China's agri-food industry. Through a literature review and consultation of Chinese experts, we identify 27 barriers in six categories and prioritize these using a group-based fuzzy analytic hierarchy process to produce novel results. First, we identify six new I4.0 adoption barriers closely linked with China's economic, social and cultural environments, including acquisition of intelligent agricultural equipment subsidies based on guanxi. Second, our prioritization of barriers reveals that the key challenges to applying I4.0 are the increased cost of terminal logistics, acquisition of intelligent agricultural equipment subsidies based on guanxi, low compatibility of I4.0 technologies with existing agricultural equipment, and problems with the government subsidy model. These results have managerial implications for governments and knowledge dissemination organizations.
published_date 2024-12-12T20:32:45Z
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