The Technology Acceptance Model and two variations of the Theory of Planned Behavior were compared to assess which model best helps to understand usage of information technology. The models were compared using student data collected from 786 potential users of a computer resource center. Behavior data was based on monitoring 3,780 visits to the resource center over a 12-week period. Weighted least squares estimation revealed that all three models performed well in terms of fit and were roughly equivalent in terms of their ability to explain behavior. Decomposing the belief structures in the Theory of Planned Behavior provided a moderate increase in the explanation of behavioral intention. Overall, the results indicate that the decomposed Theory of Planned Behavior provides a fuller understanding of behavioral intention by focusing on the factors that are likely to influence systems use through the application of both design and implementation strategies.
This article presents a study that looked at experienced and inexperienced potential users of an information technology (IT) system in a student information resource center to compare the usage of the groups and to look at the paths they took in gathering the knowledge they sought. The study hoped to discover differences in usage that would suggest ways to manage the implementation of IT systems. The methodology of the study is presented. The study found that perceived usefulness was the strongest predictor of intention for the inexperienced group while experienced users had an emphasis on behavioral control.