Abstract

The paper presents survey results from shopping behavior transformation in developed and developing countries due to the COVID-19 pandemic outbreak in spring 2020. The survey includes the polling process that covered 515 and 117 young adults, respectively, for two economies and factor analysis to determine the latent intentions of purchase behavior. Shopping patterns were studied for food, medicine, goods of first priority, electronics, clothing, and shoes. According to factor analysis results, we determined nine factors that reveal some similarities in shopping behavior as pro-safe purchases and belt-tightening patterns for both economies. Along with that, we revealed that people from developed countries perceived the greater danger and fear due to the COVID-19 crisis than young adults from developing economy. Based on polling results, the post–COVID-19 shopping channel choice behavior was evaluated for developed and developing economies.

Highlights

  • Since March 2020 society around the globe was forced to change its routine activities.The pandemic COVID-19 has caused it

  • We revealed the change in shopping behavior caused by the COVID-19 pandemic with strong online orientation in developed countries and a slight shift to online channel in developing economies

  • This paper reveals the roots of changes in the purchase behavior of young adults in developed and developing countries caused by the outbreak of the COVID-19 pandemic in spring 2020

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Summary

Introduction

Since March 2020 society around the globe was forced to change its routine activities.The pandemic COVID-19 has caused it. Since March 2020 society around the globe was forced to change its routine activities. The governments of the countries of Eurasia, Africa, Australia, North and South America have deployed a list of measures to reduce the spread of the coronavirus SARS-CoV-2. These measures were related to the reduction of social contacts resulting in “stay-at-home orders”. The risk reflects the likelihood of the possible outcomes [33]. It describes neither negative nor positive aftermaths of the events; instead, it estimates the probability values to achieve some results or occurrence of certain events. The impact of the perceived risk by the people is well studied in the frame of economic (marketing and retail) [34,35,36]

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