Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet

Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet

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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: , ,
Keywords: internet, artificial intelligence: decision support
Abstract:

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 R2 (67%) followed by TAM (63%), and ECM-IT (50%). We conclude that TAM is the most parsimonious and generic model that can be used to study both initial and continued IT adoption; the extended ECM-IT explains continued IT usage behavior as well as TAM; and both the ECM-IT and extended ECM-IT models provide additional information to increase our understanding of continued IT usage.

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