Impacts of COVID-19 and Social Measure on Behavioral Intention in the context of Online Learning Software

Since the COVID-19 outbreaks, countries around the world have implemented social measures to prevent the spread of COVID-19. To inhibit infection, governments are conducting social distancing, wearing a mask, and vaccination. In the field of education, non-face-to-face lectures are being carried out. With these backgrounds, the importance of online lectures has increased. The purpose of this study is to understand the behavioral intention of university students in the context of online learning software. Data were collected from 318 Vietnamese university students taking classes through online education software. We analyzed the sample by using the partial least squares (PLS) technique. The results indicated that attitude has a significant effect on behavioral intention. The findings showed that subjective norms do not affect attitude. The research results revealed that perceived behavioral control, regulatory environment, and affective risk perception are significantly related to attitude. The results of this study will provide meaningful guidelines for implementing effective education within COVID-19 in the future.