Utilizing SEM-RFC to predict factors affecting online shopping cart abandonment during the COVID-19 pandemic.

ABSTRACT: Online shopping has accelerated during to the pandemic and an increase in online shopping cart abandonment (SCA) was also evident. The growth of online shopping is contributed by the rising middle class, high consumer spending, millennials, and a tech-savvy population which is valuable to the growth of e-commerce. This study aimed to predict the factors that affect SCA during the COVID-19 Pandemic utilizing the SEM-RFC hybrid. Several factors such as self-efficacy, attribute conflicts, hesitation at checkout, emotional ambivalence, choice process satisfaction, attitude, subjective norms, and perceived behavioral control were analyzed simultaneously. This study integrated the cognition-affect-behavior paradigm with the Theory of Planned Behavior to provide a conceptual framework measured th

SUBMITTER: Ong AKS 

PROVIDER: S-EPMC9638758 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature