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From Beliefs to Success: Utilizing an Expanded TAM to Predict Web Page Development Success

From Beliefs to Success: Utilizing an Expanded TAM to Predict Web Page Development Success

Tanya McGill, Samantha Bax
Copyright: © 2007 |Volume: 3 |Issue: 3 |Pages: 18
ISSN: 1548-3908|EISSN: 1548-3916|ISSN: 1548-3908|EISBN13: 9781615204304|EISSN: 1548-3916|DOI: 10.4018/jthi.2007070104
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MLA

McGill, Tanya, and Samantha Bax. "From Beliefs to Success: Utilizing an Expanded TAM to Predict Web Page Development Success." IJTHI vol.3, no.3 2007: pp.36-53. http://doi.org/10.4018/jthi.2007070104

APA

McGill, T. & Bax, S. (2007). From Beliefs to Success: Utilizing an Expanded TAM to Predict Web Page Development Success. International Journal of Technology and Human Interaction (IJTHI), 3(3), 36-53. http://doi.org/10.4018/jthi.2007070104

Chicago

McGill, Tanya, and Samantha Bax. "From Beliefs to Success: Utilizing an Expanded TAM to Predict Web Page Development Success," International Journal of Technology and Human Interaction (IJTHI) 3, no.3: 36-53. http://doi.org/10.4018/jthi.2007070104

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Abstract

The technology acceptance model (TAM) is a popular model for the prediction of information systems acceptance behaviors, defining a causal linkage between beliefs, attitudes, intentions, and the usage of information technologies. Since its inception, numerous studies have utilized the TAM, providing empirical support for the model in both traditional and Internet-based computing settings. This article describes a research study that utilizes an adaptation of the TAM to predict successful Web page development, as an introduction of the TAM to a new domain, and the testing of a new dependent variable within the model. The study found some evidence to support the use of the TAM as a starting point for the prediction of Web development success, finding causal linkages between the belief constructs and the attitude constructs, and the intent construct and the successful development of Web pages. However, additional research is required to further study the expanded model introduced within this article.

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