Understanding Information Technology Usage: A Test of Competing Models
Понимание использования информационных технологий: тест конкурирующих моделей
1995-06-01
SCID: 54.1/v5dk2mws
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Decomposed Theory of Planned BehaviorTechnology Acceptance Model (TAM)Theory of Planned Behavior (TPB)behavioral intentionbehavioral measurement via monitored visitsinformation technology usageweighted least squares estimation
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Abstract (AI)
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.
Key Findings
1
Data from 786 students and 3,780 monitored visits over 12 weeks were used to evaluate the models' explanatory power.
2
Decomposing the belief structures within the Theory of Planned Behavior moderately increased explanation of behavioral intention.
3
The decomposed Theory of Planned Behavior offers a fuller understanding of behavioral intention and highlights factors to influence systems use via design and implementation strategies.
4
Three models—the Technology Acceptance Model and two variations of the Theory of Planned Behavior—were compared to explain information technology usage.
5
Weighted least squares estimation showed all three models fit well and were roughly equivalent in explaining actual usage behavior.
Research Object
Usage of information technology (student interactions with a computer resource center)
Research Subject
Comparative explanatory power of the Technology Acceptance Model and variants of the Theory of Planned Behavior for predicting actual IT usage and behavioral intention
Publication Details
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1995-06-01
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