Iranian journal of management sciences

Iranian journal of management sciences

Key factors affecting the viability of supply chains in crisis situations: A case study of the food industry

Document Type : Original Manuscript

Authors
Seyed Hossein Razavi Hajiagha 1
Mohammad Mozaffari 2
1 Department of Management, Faculty of Management and Finance, Khatam University, Tehran, Iran
2 Department of Management, Faculty of Management and Financial Sciences,, Khatam University, Tehran, Iran
100/jiams.2026.9182.7989
Abstract
Supply chains have faced unforeseen forms of disruption and crises in recent years. The COVID-19 pandemic, geopolitical challenges such as military conflicts, and other such issues have forced supply chains to adopt a new paradigm to be prepared to face these fluctuations. This new paradigm goes beyond resilience, which means the ability to return to a pre-crisis state, and requires the chain’s ability to survive and continuously adapt to an endless stream of changes and fluctuations, which is known as resilience. Resilience, beyond the well-known concept of resilience, means the supply chain’s readiness to face unknown types of changes. Given the nascent nature of this concept on the one hand, and the strategic importance of food industry supply chains at the national and international levels, the present study has presented a model of factors affecting the resilience of chains in this industry. Currently, most studies are devoted to operational definitions and applications of sustainability in supply chain decisions, and comprehensive research at the macro and policy level has not been conducted to identify the factors affecting sustainability. The present study, by adopting a combined qualitative-quantitative approach, as one of the first studies, has attempted to extract and explain the factors affecting sustainability in food industry supply chains. In the first step of the research, using a systematic literature review based on the PRISMA strategy, after extracting studies on this concept, the factors mentioned in previous studies were identified. In this step, a total of 20 factors were identified based on previous studies. In order to localize the factors to the country's conditions, in the second step, a group of experts familiar with the concept monitored and screened factors appropriate to the requirements of the food industry through the fuzzy Delphi method. The sampling method used was a snowball type, and based on the principles mentioned in the Delphi sources, a group of 15 experts with relevant backgrounds was identified and participated in the research process. Based on the collection, integration, and analysis of the comments in this step, 15 final factors were identified. Finally, in order to extract the hierarchical pattern governing these factors, the fuzzy interpretive structural modeling method was used. The results of the above steps showed that sustainability in food supply chains is a multi-level evolutionary system. Based on the findings, supply chain sustainability begins with institutional governance and organizational culture, progresses through digital and relational factors, and is implemented through knowledge mechanisms and operational coordination, until finally, logistics resilience, supplier diversity, and strategic assurance inventory are realized in the food industry. Also, the classification of final factors based on the degree of influence and dependence has expressed the profound impact of government support and policy making, along with other factors, as a driver of achieving sustainability in supply chains.
Keywords
Supply Chain Viability
Geopolitical Crisis
Systematic Literature Review
Fuzzy Delphi
Interpretative Structural Modeling
Subjects
1)     Ababou, M. (2025). Managing supply chain risks for enhanced logistic performance: insights from the automotive industry in Morocco. International Journal of Business Continuity and Risk Management, 15(1), 18-31.
2)     Amentae, T. K., & Gebresenbet, G. (2021). Digitalization and future agro-food supplychain management: a literature-based implications. Sustainability, 13(21), 12181.
3)     Balezentis, T., Zickiene, A., Volkov, A., Streimikiene, D., Morkunas, M., Dabkiene, V., & Ribasauskiene, E. (2023). Measures for the viable agri-food supply chains: A multi-criteria approach. Journal of Business Research, 155(A), 113417.
4)     Belhadi, A., Kamble, S., Jabbour, C. J. C., Gunasekaran, A., Ndubisi, N. O., & Venkatesh, M. (2021). Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries. Technological Forecasting and Social Change, 163, 120447.
5)     Béné, C. (2020). Resilience of local food systems and links to food security–A review of some important concepts in the context of COVID-19 and other shocks: Béné C. Food Security, 12(4), 805–822.
6)     Berry, E., Dernini, S., Burlingame, B., Meybeck, A., & Conforti, P. (2015). Food security and sustainability: can one exist without the other? Public Health Nutrition, 18(13), 2293-2302.
7)     Blasco-Blasco, O., Pinto-Delacadena, P. A., Vinueza-Cabezas, A., & Liern, V. (2025). Crafting a competency-based questionnaire based on Fuzzy Delphi: a proposal for enhanced hiring process. Quality & Quantity, 1-25.
8)     Brusset, X., Davari, A., Kinra, A., & La Torre, D. (2023). Modelling Ripple Effect Propagation and Global Supply Chain Workforce Productivity Impacts in Pandemic Disruptions. International Journal of Production Research, 61(8), 2493-2512.
9)     Cui, Y., Gaur, V., & Liu, J. (2023). Supply chain transparency and blockchain design. Management Science. Advance online publication, 70(5), 3245-3263.
10)  Dohale, V., Ambilkar, P., Bilolikar, V., Narkhede, B. E., Kumar, A., & Kumar, A. (2025). Evaluating circular economy and smart technology adoption barriers in the Indian textile and apparel industries using neutrosophic ISM. Annals of Operations Research. 355(1), pp.211-251.
11)  Dolgui, A., & Ivanov, D. (2021). Ripple Effect and Supply Chain Disruption Management: New Trends and Research Directions. International Journal of Production Research, 59(1), 102-109.
12)  DuPuis, E. M., Ransom, E., & Worosz, M. R. (2022). Food supply chain shocks and the pivot toward local: lessons from the global pandemic. Frontiers in Sustainable Food Systems, 6, 836574.
13)  Fanzo, J., & Davis, C. (2021). Food Systems, Food Environments, and Consumer Behavior. In J. Fanzo, & C. Davis, Global Food Systems, Diets, and Nutrition (pp. 9-28). Cham: Palgrave Macmillan.
14)  Found, P. A., Mogale, D., Xu, Z., & Yang, J. (2024). Food supply chain resilience in major disruptions. Journal of Manufacturing Technology Management, 35(4), 655–681.
15)  Ghalibaf, M. B., Gholami, M., & Mohammadian, N. (2022). Stability of food security in Iran; challenges and ways forward: a narrative review. Iranian Journal of Public Health, 51(12), 2654.
16)  Hashemi, S.S., Mahdiraji, H.A., Behnam, M. & Razavi Hajiagha, S.H.. (2021) Causal modelling of failure fears for international entrepreneurs in tourism industry: a hybrid Delphi DEMATEL based approach. International Journal of Entrepreneurial Behavior & Research, 28(3), 602–627.
17)  Hassen, T., & El Bilali, H. (2022). https://doi.org/10.1007/s12351-024-00832-x. foods, 11(15), 2301.
18)  Ivanov, D., & Dolgui, A. (2020). Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak. International Journal of Production Research, 58(10), 2904–2915.
19)  Ivanov, D. (2020). Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic. Annals of Operations Research, 319, 1411-1431.
20)  Ivanov, D., Dolgui, A., Blackhurst, J., & Choi, T. (2023). Toward supply chain viability theory: from lessons learned through COVID-19 pandemic to viable ecosystems. International Journal of Production Research, 61(8), 2402-2415.