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DeLone–McLean Information System Success Model Revisited: The Separation of Intention to Use-Use and the Integration of Technology Acceptance Models

Year 2015, Volume: 5 Issue: 1, 172 - 182, 01.03.2015

Abstract

DeLone–Mclean model is an established and well-known information system (IS) model for assessing IS success. Based on some meta-analysis studies of DeLone–Mclean model, it is revealed that some relationships in the construct are not significant. As such, the construct validity is questionable and might lower the predicting power. A thorough literature review had been done to break down the underlying theoretical concept of DeLone–McLean model. Based on the literature review, several solutions are proposed including the separation between intention to use and use and the integration of technology acceptance models (TAMs) and unified theory of acceptance and use of technology (UTAUT). The integration of TAM and UTAUT into DeLone–McLean model is needed to provide proper antecedents for intention to use since TAMs has a stronger and sound theoretical background for predicting behavioral intention (BI). Further exploration into TAM and UTAUT literature has revealed that only perceived usefulness (PU), performance expectancy (PE), effort expectancy (EE), and social influence (SI) that significantly predict BI (intention to use). Based on these findings, PU, PE, EF and SI are integrated into DeLone–McLean model as the additional antecedents for intention to use.

Year 2015, Volume: 5 Issue: 1, 172 - 182, 01.03.2015

Abstract

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Details

Other ID JA43MB97FB
Journal Section Research Article
Authors

Siti Mardiana This is me

Jann H. Tjakraatmadja This is me

Atik Aprianingsih This is me

Publication Date March 1, 2015
Published in Issue Year 2015 Volume: 5 Issue: 1

Cite

APA Mardiana, S., Tjakraatmadja, J. H., & Aprianingsih, A. (2015). DeLone–McLean Information System Success Model Revisited: The Separation of Intention to Use-Use and the Integration of Technology Acceptance Models. International Journal of Economics and Financial Issues, 5(1), 172-182.
AMA Mardiana S, Tjakraatmadja JH, Aprianingsih A. DeLone–McLean Information System Success Model Revisited: The Separation of Intention to Use-Use and the Integration of Technology Acceptance Models. IJEFI. March 2015;5(1):172-182.
Chicago Mardiana, Siti, Jann H. Tjakraatmadja, and Atik Aprianingsih. “DeLone–McLean Information System Success Model Revisited: The Separation of Intention to Use-Use and the Integration of Technology Acceptance Models”. International Journal of Economics and Financial Issues 5, no. 1 (March 2015): 172-82.
EndNote Mardiana S, Tjakraatmadja JH, Aprianingsih A (March 1, 2015) DeLone–McLean Information System Success Model Revisited: The Separation of Intention to Use-Use and the Integration of Technology Acceptance Models. International Journal of Economics and Financial Issues 5 1 172–182.
IEEE S. Mardiana, J. H. Tjakraatmadja, and A. Aprianingsih, “DeLone–McLean Information System Success Model Revisited: The Separation of Intention to Use-Use and the Integration of Technology Acceptance Models”, IJEFI, vol. 5, no. 1, pp. 172–182, 2015.
ISNAD Mardiana, Siti et al. “DeLone–McLean Information System Success Model Revisited: The Separation of Intention to Use-Use and the Integration of Technology Acceptance Models”. International Journal of Economics and Financial Issues 5/1 (March 2015), 172-182.
JAMA Mardiana S, Tjakraatmadja JH, Aprianingsih A. DeLone–McLean Information System Success Model Revisited: The Separation of Intention to Use-Use and the Integration of Technology Acceptance Models. IJEFI. 2015;5:172–182.
MLA Mardiana, Siti et al. “DeLone–McLean Information System Success Model Revisited: The Separation of Intention to Use-Use and the Integration of Technology Acceptance Models”. International Journal of Economics and Financial Issues, vol. 5, no. 1, 2015, pp. 172-8.
Vancouver Mardiana S, Tjakraatmadja JH, Aprianingsih A. DeLone–McLean Information System Success Model Revisited: The Separation of Intention to Use-Use and the Integration of Technology Acceptance Models. IJEFI. 2015;5(1):172-8.