This paper aims to examine e-learning systems success and predict factors that contribute to continuance intention user using it. The questionnaire was collected with the survey and the target samplings are taken from students who used e-learning systems. This study employs multiple regression to test the model, hypotheses, as well as the interactions between constructs. This model helps e-learning providers and decision maker to understand users point of view to keep them continue using the e-learning system as a tool to gain knowledge and learning experience. Enhancing information quality and system quality will improve the user perception that using e-learning will be useful for them and easy to operate it. Moreover, this research has been proven the mediating effect of TAM in the relations of system quality, information quality, and service quality towards learning performance. The results state out continuance intention is significantly affected by learning performance. The research model provides a new and comprehensive approach for system providers to understand what factors contribute to user's to continue using the e-learning systems.
PICMET: Portland International Center for Management of Engineering and Technology, Proceedings