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The aim of the present work is to develop a method to find the preventive measures for COVID-19 and their priorities. These preventive measures are prioritized according to the expert opinion.

An integrated method using the Kano model and Fuzzy-AHP is used to achieve the study objectives. First, the preventive measures are identified according to the expert. Next, the Kano model is used to determine the different Kano categories for remedial activities that are identified by the World Health Organization (WHO) and other medical authorities. Finally, Fuzzy-AHP is applied to determine the weights of these activities and assign the priorities according to their impact.

It is observed that the activity Avoid Travelling is the most important classification or category with the highest weight as compared to the other activities and sub-activities. It is also noticed that the category packed food items get the lowest weight and is the least important classification or category. In this work, two different approaches, designed for different purposes, provide similar results and verify each other.

Research contributing to the classification and prioritization of preventive activities using Kano and Fuzzy-AHP methods is not available. In the critical time of COVID-19, when governments are obliged to deal with many infected patients and a high number of deaths, one can focus on different preventive activities according to their classification, weights and ranks.

The sustainable and circular growth of agro-produce is crucial in today's era. The current paper focuses on identifying the drivers which promote sustainability as well as circularity in the agro-produce supply chain and favor its implementation in agro-produce supply chain.

Drivers are identified by carrying out a brief literature review and then short-listed based on the expert's opinion. The crucial drivers identified are then categorized into four groups, i.e. farms, social, government and organization. A DEMATEL-DANP approach is used to analyze the relation among subfactors and factors by deriving network relations map. Further, the weights of each subfactor are measured followed by calculating the ranks of the drivers in significance with successful implementation of sustainable circular economy.

This study has applied DEMATEL-DANP approach to analyze the relationship among four factors and twelve sub factors and their contribution towards adopting the culture of sustainable circular economy in agro-produce supply chain. The results show that “Integration of farmers” and “Updated infrastructure and tools of the farm to promote diverse farming” are primary drivers for implementing SCE in APSC.

The research explored the domains of sustainability and circularity separately. Drivers that could accelerate the implementation of circularity in agro-produce in a sustainable manner were identified. This will help in designing sustainable circular model for working of the agro-produce supply chain.