E-grocery users are increasing due to the coronavirus 2019 pandemic. In the first quarter of 2020, the e-grocery business saw a 20% increase in users from before the pandemic. This study, therefore, aims to determine the factors that influence users’ repurchase intentions (RIs) for electronic store (e-grocery) applications. The research results were processed from 427 valid respondents. The data is then analyzed using the Covariance Based Structural Equation Modeling method with the help of AMOS 24 software. The results of data processing and data analysis show that factors that influence users’ RIs for e-grocery applications are trust to e-grocery, perceived value, and attitude. This research can guide e-grocery providers on the development of their applications’ features and services.
- repurchase intention