ABSTRACT
Globally, countries are struggling to fulfil customer demands due to the effects of the COVID-19 pandemic on perishable food supply chains (PFSCs). This study aims to analyse the factors influencing PFSCs during the pandemic and improve their resiliency. This is essential as some factors discourage the productive execution of PFSCs and decrease organisational performance, thus lowering stakeholder satisfaction. This study has been conducted in two phases. The first phase, through extensive review and discussion with experts, identifies the influencing factors related to supply chain (SC) disturbances in PFSCs. In the second phase, a hybrid method i.e. g-DANP, a combination of grey-decision making trial and evaluation laboratory and analytic network process, is employed to develop a hierarchical structure to measure their influence. The proposed framework is validated with a case of the current COVID-19 outbreak. The study revealed that factors, restriction on import-export and fear of violation of social distancing guidelines, are the primary ‘cause’ group factors; whereas, price variation of perishable products and panic buying and stockpiling are the crucial ‘effect’ group factors affecting the PFSCs. The findings also enrich existing literature by providing analytical support to relationships between various factors affecting PFSCs during the pandemic.
Acknowledgements
The authors would like to express their gratitude towards the industry expert members for their valuable support in evaluating the proposed framework. The authors would also like to thank Mr Soliman Amini, manager at www.sanaye20.ir for giving supporting material for the research. Also, the first author would like to thank Mr Rahul Jain, Scholar, Indian Institute of Technology, Delhi, India, for providing python script to verify the calculations.
Disclosure statement
No potential conflict of interest was reported by the author(s).