Optimal Choice for Online Shopping in COVID-19 Pandemic

ABSTRACT

In the context of the outbreak of the COVID-19 epidemic in Vietnam, it has severely affected the economy and people's lives lead to changes in consumer habits with daily activities and shopping, which creates growth opportunities for online businesses. This study aims to determine the factors affecting the online shopping intention of consumers during the COVID-19 pandemic in Vietnam market. The results of the AIC Algorithm for the Online shopping intention (OSI) showed that 5 independent variables Reliability (RE), Perceived usefulness (PU), Perceived ease of use (PEU), Perceived behavioral control (PBC), Subjective norm (SN) have a positive impact on the Online shopping intention (OSI) and Perceived risk (PR) has a negative impact on the Online shopping intention (OSI) during the COVID-19 pandemic. Previous studies revealed that using linear regression. This study uses A/C Optimal Choice of Consumers for Online Shopping in COVID-19 Pandemic.