Assessing IT usage: the role of prior experience
MIS Quarterly
User satisfaction with information seeking on the Internet
Journal of the American Society for Information Science
The Effects of Mood on Individuals' Use of Structured Decision Protocols
Organization Science
Understanding e-learning continuance intention: An extension of the Technology Acceptance Model
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies - Human-computer interaction research in the managemant information systems discipline
Determinants of e-repurchase intentions: An integrative model of quadruple retention drivers
Information and Management
Effects of interface style on user perceptions and behavioral intention to use computer systems
Computers in Human Behavior
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While much of the prior studies on Information system (IS) adoption and usage continuance have examined cognitive factors, the emotion factors in understanding and predicting user behavior remained relatively unexplored. This study proposed a hybrid model that integrates emotion, cognition, satisfaction, and post adoption behavior in order to obtain a better understanding of users' continuance intention of IS. Three hundred and eighteen Blackboard Learning System (BLS) users were obtained from a survey. The paper assessed the psychometric properties of the measures through confirmatory factor analysis and then employed structural equation modeling analysis in order to examine the prospective model to better predict users' continuous adoption of IS. The results show that positive and negative emotions mediate the effect of confirmation and directly predict user satisfaction. However, perceived usefulness and perceived ease of use predict the level of user satisfaction better than emotions and perceived usefulness is the stronger predictor of user satisfaction than other variables.