Journal Information  ·  Mission  ·  Editorial Board  ·  Directory of Economists Submissions  ·  New Submission  ·  Submit a Revision Table of Contents  ·  Refereed Content            Notes            Comments            Preliminary Results  ·  Research       Announcements  ·  Letters to the Editor  ·  Conference       Announcements  ·  Search Email Notification Service and Directory of Research Economists  ·  Add me to Directory  ·  Modify my Profile General  ·  Submission Guidelines  ·  PDF Conversion  ·  Copyright  ·  Electronic Publishing  ·  Archiving  ·  Sponsors and       Endorsements  ·  Economic Links     Shu-Chuan Wang, Yuan-Shu Lii, and Kwoting Fang "Predicting the continuance usage of information systems: A comparison of three alternative models" (2008, Vol. 28, No. 14.)     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.     This abstract has been downloaded 809 times.