The effect of emotions and cognitions on continuance intention in information systems
Authors: 
S. C. Wang, Y. S. Lii, K. T. FangAuthors Info & Claims
Abstract
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.
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World Scientific and Engineering Academy and Society (WSEAS)
Stevens Point, Wisconsin, United States
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Published: 01 February 2009
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