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Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France
Production Planning and Control, Volume: 35, Issue: 3, Pages: 283 - 307
Swansea University Author: Guoqing Zhao
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DOI (Published version): 10.1080/09537287.2022.2078246
Abstract
Smooth, efficient agri-food supply chain (AFSC) operations are becoming ever more difficult due tomore intense and frequent natural disasters and man-made disruptions. Helping AFSCs to survive dis-turbances requires re-consideration of how to build their resilience. This study addresses this issueth...
Published in: | Production Planning and Control |
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ISSN: | 0953-7287 1366-5871 |
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Informa UK Limited
2022
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v2 62342 2023-01-17 Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France 2ff29aa347835abe2af6d98fa89064b4 Guoqing Zhao Guoqing Zhao true false 2023-01-17 CBAE Smooth, efficient agri-food supply chain (AFSC) operations are becoming ever more difficult due tomore intense and frequent natural disasters and man-made disruptions. Helping AFSCs to survive dis-turbances requires re-consideration of how to build their resilience. This study addresses this issuethrough a cross-country comparative analysis involving interviews with AFSC practitioners, thematicanalysis to generate agri-food supply chain resilience (AFSCRes) capability factors, total interpretivestructural modelling (TISM) to establish interrelationships among the factors, cross-impact matrix multi-plication applied to classification (MICMAC) analysis to categorise the factors, and comparative analysis.The results reveal that contractual restraints regulating farmers’opportunistic behaviour and regularinteractions are key factors for building AFSCRes in France and Argentina, respectively. This study alsoconfirms the critical role of farmers’associations and coordinated activities amongst all AFSC stake-holders to build AFSCRes. For triggering AFSCRes, farmers’resilience must be particularly prioritised, asthey are the least resilient point in AFSCs. Journal Article Production Planning and Control 35 3 283 307 Informa UK Limited 0953-7287 1366-5871 Agri-food supply chain resilience; qualitative approach; thematic analysis; TISM; MICMAC analysis; comparative analysis 30 5 2022 2022-05-30 10.1080/09537287.2022.2078246 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University 2024-09-17T11:57:56.1319429 2023-01-17T12:09:24.6623098 Faculty of Humanities and Social Sciences School of Management - Business Management Guoqing Zhao 1 Shaofeng Liu 0000-0002-8330-3335 2 Yi Wang 3 Carmen Lopez 0000-0002-5510-1920 4 Nasiru Zubairu 5 Xiaoning Chen 6 Xiaotian Xie 0000-0001-7266-498x 7 Jinhua Zhang 0000-0002-0182-4306 8 62342__26615__b9d990a867734e38a7d3e64cf13d94d0.pdf 62342_VoR.pdf 2023-02-17T15:24:59.1838829 Output 4131054 application/pdf Version of Record true © 2022 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License true eng http://creativecommons.org/licenses/by-nc-nd/ |
title |
Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France |
spellingShingle |
Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France Guoqing Zhao |
title_short |
Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France |
title_full |
Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France |
title_fullStr |
Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France |
title_full_unstemmed |
Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France |
title_sort |
Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France |
author_id_str_mv |
2ff29aa347835abe2af6d98fa89064b4 |
author_id_fullname_str_mv |
2ff29aa347835abe2af6d98fa89064b4_***_Guoqing Zhao |
author |
Guoqing Zhao |
author2 |
Guoqing Zhao Shaofeng Liu Yi Wang Carmen Lopez Nasiru Zubairu Xiaoning Chen Xiaotian Xie Jinhua Zhang |
format |
Journal article |
container_title |
Production Planning and Control |
container_volume |
35 |
container_issue |
3 |
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283 |
publishDate |
2022 |
institution |
Swansea University |
issn |
0953-7287 1366-5871 |
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10.1080/09537287.2022.2078246 |
publisher |
Informa UK Limited |
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Faculty of Humanities and Social Sciences |
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Faculty of Humanities and Social Sciences |
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School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management |
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description |
Smooth, efficient agri-food supply chain (AFSC) operations are becoming ever more difficult due tomore intense and frequent natural disasters and man-made disruptions. Helping AFSCs to survive dis-turbances requires re-consideration of how to build their resilience. This study addresses this issuethrough a cross-country comparative analysis involving interviews with AFSC practitioners, thematicanalysis to generate agri-food supply chain resilience (AFSCRes) capability factors, total interpretivestructural modelling (TISM) to establish interrelationships among the factors, cross-impact matrix multi-plication applied to classification (MICMAC) analysis to categorise the factors, and comparative analysis.The results reveal that contractual restraints regulating farmers’opportunistic behaviour and regularinteractions are key factors for building AFSCRes in France and Argentina, respectively. This study alsoconfirms the critical role of farmers’associations and coordinated activities amongst all AFSC stake-holders to build AFSCRes. For triggering AFSCRes, farmers’resilience must be particularly prioritised, asthey are the least resilient point in AFSCs. |
published_date |
2022-05-30T11:57:55Z |
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11.037166 |