Identifying and analyzing the effects of the coronavirus on the food supply chain using a multiple case study approach

Document Type : Research/ Original/ Regular Article

Authors

1 Management faculty

2 qom university

3 Tehran uni.

Abstract

This study investigated the effects of the coronavirus on the structure of the food supply chain. In this regard, using a multiple case study method, the effects of this pandemic on the supply, transportation, and inventory management systems of five large food production companies in Iran were examined, and the results were analyzed and ranked using content analysis tools and statistical tests. This study, while analyzing the effects of the coronavirus pandemic on food supply chain management, provides solutions for improving the management of this chain in critical situations. The research results were classified into 15 key propositions and tested using a single-sample t-test, and 11 propositions were confirmed and four propositions were rejected. Accordingly, the results show that the coronavirus pandemic has caused significant changes in the supply chain, and its management requirements and methods; Among them are the need to increase supply chain transparency, reduce the number of layers in the chain, invest more in product transportation, review the product portfolio, and increase the level of available liquidity to manage chain risk in crisis situations.

Keywords

Main Subjects


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  • Dasgupta and E. J. Robinson, “Impact of COVID-19 on food insecurity using multiple waves of high-frequency household surveys,” Scientific Reports, vol. 12, no. 1, pp. 1865, 2022.
  • O. Alabi and O. Ngwenyama, “Food security and disruptions of the global food supply chains during COVID-19: Building smarter food supply chains for post COVID-19 era,” British Food Journal, vol. 125, no. 1, pp. 167–178, 2023.
  • Mathivathanan, D. Kannan, and A. N. Haq, “Sustainable supply chain management practices in Indian automotive industry: A multi-stakeholder view,” Resources, Conservation and Recycling, vol. 128, pp. 284–305, 2018.
  • Aday and M. S. Aday, “Impact of COVID-19 on the food supply chain,” Food Quality and Safety, vol. 4, no. 4, pp. 167–180, 2020.
  • Rinaldi and E. Bottani, “How did COVID-19 affect logistics and supply chain processes? Immediate, short and medium-term evidence from some industrial fields of Italy,” International Journal of Production Economics, vol. 262, p. 108915, 2023.
  • D. Cousins, B. Lawson, K. J. Petersen, and B. Fugate, “Investigating green supply chain management practices and performance,” International Journal of Operations & Production Management, vol. 39, no. 5, pp. 767–786, 2019.
  • T. Mentzer et al., “Defining supply chain management,” Journal of Business Logistics, vol. 22, no. 2, pp. 1–25, 2001.
  • Sarani, A. Shahraki, and S. A. Banihashemi, “Evaluating agricultural supply chain resilience using DEMATEL and SWARA approaches in a fuzzy environment (Case study: Wheat crop in the Sistan and Baluchestan Province),” Supply Chain Management, vol. 26, no. 82, pp. 43–53, 2024.
  • Etezadi and S. Khalili Esbouei, “An analysis of supply chain maturity models: Application of meta-synthesis method,” Supply Chain Management, vol. 26, no. 83, pp. 79–104, 2025.
  • Nasiri Galeh and S. Sahraei, “Investigating the impact of blockchain implementation in the supply chain of dairy products in Iran,” Supply Chain Management, vol. 26, no. 82, pp. 95–102, 2024.
  • Morkunas and P. Labukas, “The evaluation of negative factors of direct payments under common agricultural policy from a viewpoint of sustainability of rural regions of the new EU member states: Evidence from Lithuania,” Agriculture, vol. 10, no. 6, p. 228, 2020.
  • Mardani Najafabadi, A. Abdeshahi, and S. Shirzadi Laskookalayeh, “Determining the optimal cropping pattern with emphasis on proper use of sustainable agricultural disruptive inputs: Application of robust multi-objective linear fractional programming,” Journal of Agricultural Science and Sustainable Production, vol. 30, no. 1, pp. 241–256, 2020.
  • Nayak and A. J. Patangray, “Biofertilizer—Beneficial for sustainable agriculture and improving soil fertility,” Asian Journal of Multidisciplinary Studies, vol. 3, no. 2, pp. 189–194, 2015.
  • A. Scherer, P. H. Verburg, and C. J. Schulp, “Opportunities for sustainable intensification in European agriculture,” Global Environmental Change, vol. 48, pp. 43–55, 2018.
  • Dashti, S. Negahban, and B. Hayati, “Relationship between factor productivity and agricultural sustainability in potato farms of Ardabil Plain,” Journal of Agricultural Science and Sustainable Production, vol. 25, no. 2.1, pp. 99–111, 2015.
  • Govindan, A. Jafarian, R. Khodaverdi, and K. Devika, “Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food,” International Journal of Production Economics, vol. 152, pp. 9–28, 2014.
  • Mokhtarinejad, A. Ahmadi, B. Karimi, and S. H. A. Rahmati, “A novel learning-based approach for a new integrated location-routing and scheduling problem within cross-docking considering direct shipment,” Applied Soft Computing, vol. 34, pp. 274–285, 2015.
  • Subulan, A. Baykasoglu, F. B. Ozsoydan, A. S. Tasan, and H. Selim, “A case-oriented approach to a lead/acid battery closed-loop supply chain network design under risk and uncertainty,” Journal of Manufacturing Systems, vol. 37, no. 1, pp. 340–361, 2015.
  • Chan, J. A. Fowe, and M. Arani, “Routing in a stochastic network with nonrecurrent incidents: Behavioral interpretation of dynamic traffic assignment,” ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng., vol. 6, no. 1, pp. 04020002, 2020.
  • -C. Tsao, V. V. Thanh, J.-C. Lu, and V. Yu, “Designing sustainable supply chain networks under uncertain environments: Fuzzy multi-objective programming,” Journal of Cleaner Production, vol. 174, pp. 1550–1565, 2018.
  • P. Nurjanni, M. S. Carvalho, and L. Costa, “Green supply chain design: A mathematical modeling approach based on a multi-objective optimization model,” International Journal of Production Economics, vol. 183, pp. 421–432, 2017.
  • Moradinasab, M. R. Amin-Naseri, T. J. Behbahani, and H. Jafarzadeh, “Competition and cooperation between supply chains in multi-objective petroleum green supply chain: A game theoretic approach,” Journal of Cleaner Production, vol. 170, pp. 818–841, 2020.
  • Govindan, H. Mina, A. Esmaeili, and S. M. Gholami-Zanjani, “An integrated hybrid approach for circular supplier selection and closed-loop supply chain network design under uncertainty,” Journal of Cleaner Production, vol. 242, p. 118317, 2020.
  • Boronoos, M. Mousazadeh, and S. A. Torabi, “A robust mixed flexible-possibilistic programming approach for multi-objective closed-loop green supply chain network design,” Environmental Development and Sustainability, vol. 23, pp. 3368–3395, 2021, doi: 10.1007/s10668-020-00723-z.
  • Javadi and A. Kargar, “Presenting a robust/multi-objective optimization model for designing supply chain networks in food industries considering resilience strategy,” in Proc. 2nd Int. Conf. Challenges New Solutions Ind. Eng. Manage. Accounting, Damghan, 2012.
  • Kumar, R. D. Raut, M. Sharma, V. K. Choubey, and S. K. Paul, “Enablers for resilience and pandemic preparedness in food supply chain,” Operations Management Research, vol. 15, no. 3-4, pp. 1198–1223, 2022.
  • F. Ardekani, S. M. J. Sobhani, M. W. Barbosa, and P. R. de Sousa, “Transition to a sustainable food supply chain during disruptions: A study on the Brazilian food companies in the COVID-19 era,” International Journal of Production Economics, vol. 257, p. 108782, 2023.
  • Mohebbi, A. Alem Tabriz, M. J. Ershadi, and A. Azizi, “Presenting a mathematical programming model for a sustainable resilient closed-loop supply chain considering response criteria and the uncertain effects of COVID-19,” Supply Chain Management, vol. 25, no. 79, pp. 67–86, 2023.
  • Modares, N. Motahari Farimani, and F. Dehghanian, “Presenting a model for the vendor-managed inventory in a two-tier supply chain of perishable products under demand uncertainty,” Supply Chain Management, vol. 25, no. 81, pp. 1–15, 2024.
  • Chodakowska, D. Bazaras, E. Sokolovskij, V. Kuranovic, and L. Ustinovichius, “Transport risks in the supply chains—Post COVID-19 challenges,” Journal of Business Economics and Management, vol. 25, no. 2, pp. 211–225, 2024.
  • Oriekhoe, B. Ashiwaju, K. Ihemereze, U. Ikwue, and C. Udeh, “Review of technological advancement in food supply chain management: Comparison between USA and Africa,” World Journal of Advanced Research and Review, vol. 20, pp. 1681–1693, 2023, doi: 10.30574/wjarr.2023.20.3.2660.
  • Sharma, R. Bhatia, K. Singh, and A. Sharma, “Developing the framework of blockchain-enabled agri-food supply chain,” Business Process Management Journal, vol. 30, no. 1, pp. 291–316, 2024.
  • K. Yin, Case Study Research and Applications: Design and Methods, Sage Publications, 2018.
  • Bhat, J. Antony, M. Maalouf, G. E. V., and S. Salah, “Applications of six sigma for service quality enhancement in the UAE: A multiple case study analysis and lessons learned,” International Journal of Lean Six Sigma, vol. 14, no. 7, pp. 1492–1517, 2023.
  • G. Margherita and A. M. Braccini, “The impact of Industry 4.0 technologies and the soft side of TQM on organisational performance: A multiple case study analysis on manufacturing organisations,” TQM Journal, vol. 36, no. 3, pp. 812–831, 2024.
  • Liu, Y. He, Y. Liang, and M. K. Lim, “A theoretical framework for platform-to-platform cooperation: A multi-case study from China,” International Journal of Physical Distribution & Logistics Management, 2024.
  • W. Creswell, 30 Essential Skills for the Qualitative Researcher, Sage Publications, 2015.
  • A. Fallah, A. Heidari, H. Aghazade, and S. M. A'arabi, “The roles of Iranian parent enterprises in creating and destroying value: A multiple case study,” Journal of Business Management, vol. 12, no. 2, pp. 262–284, 2020, doi: 10.22059/jibm.2019.271925.3369.
  • J. Rowan and J. G. Laffey, “Challenges and solutions for addressing critical shortage of supply chain for personal and protective equipment (PPE) arising from Coronavirus disease (COVID-19) pandemic—Case study from the Republic of Ireland,” Science of the Total Environment, vol. 725, p. 138532, 2020.
  • L. Esper, “Supply chain management amid the coronavirus pandemic,” Journal of Public Policy & Marketing, vol. 40, no. 1, pp. 101–102, 2023.
  • Wang, J. Wang, and X. Wang, “COVID-19, supply chain disruption, and China’s hog market: A dynamic analysis,” China Agricultural Economic Review, vol. 12, no. 3, pp. 427–443, 2022.
  • B. Handfield, G. Graham, and L. Burns, “Coronavirus, tariffs, trade wars, and supply chain evolutionary design,” International Journal of Operations & Production Management, vol. 40, no. 10, pp. 1649–1660, 2020.
  • I. Van Hoek, “Research opportunities for a more resilient post-COVID-19 supply chain—closing the gap between research findings and industry practice,” International Journal of Operations & Production Management, vol. 44, no. 4, pp. 341–355, 2024.
  • S. Sodhi and C. S. Tang, “Supply chain management for extreme conditions: Research opportunities,” Journal of Supply Chain Management, vol. 57, no. 1, pp. 7–16, 2024.
  • Ozdemir, M. Sharma, A. Dhir, and T. Daim, “Supply chain resilience during the COVID-19 pandemic,” Technology in Society, vol. 68, p. 101847, 2022.
  • Chen, H. Wang, and R. Y. Zhong, “A supply chain disruption recovery strategy considering product change under COVID-19,” Journal of Manufacturing Systems, vol. 60, pp. 920–927, 2023.
  • Rozhkov, D. Ivanov, J. Blackhurst, and A. Nair, “Adapting supply chain operations in anticipation of and during the COVID-19 pandemic,” Omega, vol. 110, p. 102635, 2022.
  • Modgil, S. Gupta, R. Stekelorum, and I. Laguir, “AI technologies and their impact on supply chain resilience during COVID-19,” International Journal of Physical Distribution & Logistics Management, vol. 52, no. 2, pp. 130–149, 2022.
  • Y. Park, K. Kim, S. Roth, S. Beck, J. W. Kang, and M. C. Tayag, “Global shortage of personal protective equipment amid COVID-19: Supply chains, bottlenecks, and policy implications,” Future of Regional Cooperation in Asia and the Pacific, p. 442, 2021.
  • Quayson, C. Bai, and V. Osei, “Digital inclusion for resilient post-COVID-19 supply chains: Smallholder farmer perspectives,” IEEE Engineering Management Review, vol. 48, no. 3, pp. 104–110, 2022.
  • M. Shen and Y. Sun, “Strengthening supply chain resilience during COVID‐19: A case study of JD.com,” Journal of Operations Management, vol. 69, no. 3, pp. 359–383, 2023.
  • Receive Date: 03 December 2024
  • Revise Date: 20 January 2025
  • Accept Date: 10 March 2025
  • Publish Date: 22 May 2025