The study examines the determinants of users’ removal behavior of mobile apps from an integrated perspective of the theory of reasoned action, innovation diffusion theory, technology acceptance model, and perceived risks. The data collected from a sample of 275 valid respondents were used to validate the research model and hypotheses using the partial least squares structural equation modeling (PLS-SEM). The results indicate that compatibility and perceived ease of use significantly affect removal attitude; removal attitude and performance risk significantly affect removal intention, and removal intention significantly affects removal behavior. This study is a pioneering effort to investigate the determinants of users’ removal behavior of mobile apps. The findings of this study provide several important theoretical and practical implications for how to promote users’ continuous mobile app usage.

The COVID-19 pandemic brought about significant changes in educational delivery methods and student learning.E-learning systems, which previous research had found to be effective in voluntary contexts, suddenly became mandatory but proved to be less effective for students worldwide.Hence, there is a need for academics and practitioners to revisit the e-learning systems success model in the post-COVID-19 era.Building upon previous e-learning and information systems success models, this study aimed to re-specify and validate the e-learning systems success model by examining the role of monitoring quality.Data were collected from 191 college students and analyzed using the partial least squares approach.The results indicated that information quality, system quality, and service quality had a positive influence on both user satisfaction and communication quality, which, in turn, positively impacted loyalty intention and subsequently enhanced learning effectiveness.Notably, the newly added construct of monitoring quality had the strongest effect on communication quality compared to information quality, system quality, and service quality.However, it had no impact on user satisfaction.The findings of this study provide several important theoretical and practical implications for e-learning systems success models in the post-COVID-19 era.