Article ID: | iaor2008602 |
Country: | Netherlands |
Volume: | 42 |
Issue: | 3 |
Start Page Number: | 1819 |
End Page Number: | 1834 |
Publication Date: | Dec 2006 |
Journal: | Decision Support Systems |
Authors: | Tam Kar Yan, Thong James Y.L., Hong SeJoon |
Keywords: | internet, artificial intelligence: decision support |
This study examines the utility of three prospective models for understanding the continued IT usage behavior. The three models include: Expectation-Confirmation Model in IT Domain (ECM-IT), Technology Acceptance Model (TAM), and a hybrid model integrating TAM and ECM-IT (extended ECM-IT). Based on a survey of 1826 mobile Internet users, the LISREL analysis shows that all three models meet the various goodness-of-fit criteria. When compared using special indices for differentiating among alternative good models, TAM has the best fit to the data followed by ECM-IT, and the extended ECM-IT. In terms of variance explained for intention to continue IT usage, the extended ECM-IT has the highest