ORCID
- Shaofeng Liu: 0000-0002-8330-3335
- Jinhua Zhang: 0000-0002-0182-4306
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.
DOI Link
Publication Date
2022-05-30
Publication Title
Production Planning & Control
Volume
35
Issue
3
ISSN
0953-7287
Acceptance Date
2022-05-12
Deposit Date
2022-05-31
Embargo Period
2022-06-02
Keywords
Agri-food supply chain resilience, qualitative approach, thematic analysis, TISM, MICMAC analysis, comparative analysis
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
First Page
1
Last Page
25
Recommended Citation
Zhao, G., Liu, S., Wang, Y., Lopez, C., Zubairu, N., Chen, X., Xie, X., & Zhang, J. (2022) 'Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France', Production Planning & Control, 35(3), pp. 1-25. Available at: 10.1080/09537287.2022.2078246
