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Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France

Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France
Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France
Smooth, efficient agri-food supply chain (AFSC) operations are becoming ever more difficult due to more intense and frequent natural disasters and man-made disruptions. Helping AFSCs to survive disturbances requires re-consideration of how to build their resilience. This study addresses this issue through a cross-country comparative analysis involving interviews with AFSC practitioners, thematic analysis to generate agri-food supply chain resilience (AFSCRes) capability factors, total interpretive structural modelling (TISM) to establish interrelationships among the factors, cross-impact matrix multiplication applied to classification (MICMAC) analysis to categorise the factors, and comparative analysis. The results reveal that contractual restraints regulating farmers’ opportunistic behaviour and regular interactions are key factors for building AFSCRes in France and Argentina, respectively. This study also confirms the critical role of farmers’ associations and coordinated activities amongst all AFSC stakeholders to build AFSCRes. For triggering AFSCRes, farmers’ resilience must be particularly prioritised, as they are the least resilient point in AFSCs.
Agri-food supply chain resilience, MICMAC analysis, TISM, comparative analysis, qualitative approach, thematic analysis
0953-7287
Zhao, Guoqing
4a72c641-93f3-461b-80a9-2ffba386c30d
Liu, Shaofeng
cfa70434-9403-4760-bef1-085041066df8
Wang, Yi
edfde677-6992-405b-9370-b277dbc0766a
Lopez, Carmen
f11f88d5-36c4-4beb-a4c5-ceb16a6df19c
Zubairu, Nasiru
a0830175-6ca3-4429-aaa8-eedc04f1e413
Chen, Xiaoning
f037e300-ac89-462b-84b7-99c2d358e7dd
Xie, Xiaotian
9021dc52-fdaa-4e68-8427-d742a8224ec0
Zhang, Jinhua
fc9b1f90-33b2-4381-ac93-57e7c79fc10c
Zhao, Guoqing
4a72c641-93f3-461b-80a9-2ffba386c30d
Liu, Shaofeng
cfa70434-9403-4760-bef1-085041066df8
Wang, Yi
edfde677-6992-405b-9370-b277dbc0766a
Lopez, Carmen
f11f88d5-36c4-4beb-a4c5-ceb16a6df19c
Zubairu, Nasiru
a0830175-6ca3-4429-aaa8-eedc04f1e413
Chen, Xiaoning
f037e300-ac89-462b-84b7-99c2d358e7dd
Xie, Xiaotian
9021dc52-fdaa-4e68-8427-d742a8224ec0
Zhang, Jinhua
fc9b1f90-33b2-4381-ac93-57e7c79fc10c

Zhao, Guoqing, Liu, Shaofeng, Wang, Yi, Lopez, Carmen, Zubairu, Nasiru, Chen, Xiaoning, Xie, Xiaotian and Zhang, Jinhua (2022) Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France. Production Planning & Control. (doi:10.1080/09537287.2022.2078246).

Record type: Article

Abstract

Smooth, efficient agri-food supply chain (AFSC) operations are becoming ever more difficult due to more intense and frequent natural disasters and man-made disruptions. Helping AFSCs to survive disturbances requires re-consideration of how to build their resilience. This study addresses this issue through a cross-country comparative analysis involving interviews with AFSC practitioners, thematic analysis to generate agri-food supply chain resilience (AFSCRes) capability factors, total interpretive structural modelling (TISM) to establish interrelationships among the factors, cross-impact matrix multiplication applied to classification (MICMAC) analysis to categorise the factors, and comparative analysis. The results reveal that contractual restraints regulating farmers’ opportunistic behaviour and regular interactions are key factors for building AFSCRes in France and Argentina, respectively. This study also confirms the critical role of farmers’ associations and coordinated activities amongst all AFSC stakeholders to build AFSCRes. For triggering AFSCRes, farmers’ resilience must be particularly prioritised, as they are the least resilient point in AFSCs.

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Production Planning & Control. 2022. Zhao et al. - Accepted Manuscript
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09537287.2022 - Version of Record
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More information

Accepted/In Press date: 12 May 2022
e-pub ahead of print date: 28 May 2022
Additional Information: Publisher Copyright: © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Keywords: Agri-food supply chain resilience, MICMAC analysis, TISM, comparative analysis, qualitative approach, thematic analysis

Identifiers

Local EPrints ID: 457483
URI: http://eprints.soton.ac.uk/id/eprint/457483
ISSN: 0953-7287
PURE UUID: 87ea1ef3-7a17-4e19-a76c-154ad831b807
ORCID for Carmen Lopez: ORCID iD orcid.org/0000-0002-5510-1920

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Date deposited: 09 Jun 2022 17:00
Last modified: 17 Mar 2024 03:58

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Contributors

Author: Guoqing Zhao
Author: Shaofeng Liu
Author: Yi Wang
Author: Carmen Lopez ORCID iD
Author: Nasiru Zubairu
Author: Xiaoning Chen
Author: Xiaotian Xie
Author: Jinhua Zhang

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