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"Predicting the continuance usage of information systems: A comparison of three alternative models"

Shu-Chuan Wang
Ph.D. student

Yuan-Shu Lii
Associate Professor

Kwoting Fang
Professor

 
Manuscript available from Shu-Chuan Wang.
 
 
Text of Abstract :

This study examines the explanatory power of three prospective models in predicting users¡¦ continuous adoption of information system. The three models include: Expectation-Confirmation Theory Model (ECTM, Model 1), the integration of ECTM with Technology Acceptance Model (ECT-TAM, Model 2), and a hybrid model integrating ECT, TAM and emotions (Model 3). Three hundred and fifty web portal site users were obtained from a survey. Data analysis using LISREL shows that all three models meet the various goodness-of-fit criteria. In terms of variance explained for intention to continue IS usage, all three models perform equally well. As for the explanatory power of satisfaction, Model 3 has the highest R2 (71%), followed by Model 2 (69%), and Model 1 (68%). This result confirms the erstwhile discussion of continuance intention behavior in which adding emotion factors to the cognitive process model will enhance the predictive power of the satisfaction.
 
 
Keywords :
 
Expectation confirmation theory, Technology acceptance model, Emotion, Satisfaction, Structural equation modelling.
 
 
Announcement Posted :  9/9/2008
 
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