Abstract
This study aims to identify the determining factors of the advances of smart technologies in supermarket retail that influence citizens’ quality of life during the COVID-19 crisis. Thus, this research aims to identify and analyze crucial factors that influence users’ quality of life who shopped in Brazilian supermarkets, primarily from smart technologies, employing Covariance-based Structural Equation Modeling (CB-SEM) to collect data from 469 users of smart technologies in supermarket retail. The study provided support to observe that, in a way, a large part of the respondents felt good, and their expectations were met when assessing smart technology services in supermarket retail and will continue using them, even after the pandemic. Finally, the proposed model showed consistency and can be applied for future research.
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