Research on the Influence of E-Learning Quality on the Intention to Continue E-Learning: Evidence from SEM and fsQCA

This study explores how Chinese college students perceive the quality of e-learning and its impact on their adoption online learning. The develops an model continuous learning intention based stimulus-organism-response framework, technology acceptance model, information system success model. is validated using a structural equation (SEM) fuzzy set qualitative comparative analysis (fsQCA) with data collected from 253 at university in Eastern China. SEM shows that perceived ease use usefulness positively influence continuance intention, while personalization have positive use, community impacts usefulness. fsQCA students’ willingness to continue not solely dependent single factor service but also influenced by interaction between various factors. Therefore, providers should take into account both external stimuli internal perception factors when designing services. findings this practical implications for improving enhancing experience. E-learning consider importance quality, personalization, usefulness, which turn can increase e-learning. highlights considering rather than relying individual