Examining awareness, social influence, and perceived enjoyment in the TAM framework as determinants of ChatGPT. Personalization as a moderator

Rania Ahmad Mustafa Abdalla

60 citations0/0 files storedJournal of Open Innovation Technology Market and Complexity

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Technology Adoption and User Behaviour Artificial Intelligence in Education AI in Service Interactions

Abstract

Using a modified version of TAM, this study investigates the factors that impact ChatGPT usage intentions among college students, with personalization acting as a moderator. A structured questionnaire was designed for data collection as part of the quantitative procedure. Smart PLS 4 was utilized for analysis. The results showed that social influence had no effect on the predicted perceived usefulness and ease of use, but that awareness and perceived enjoyment did. The willingness to utilize ChatGPT was based on how beneficial and easy it was seen to be. The association between perceived usefulness and the intent to use ChatGPT was not affected by personalization, however, the relationship between ease of use and intention to use ChatGPT was. The study suggested several recommendations to colleges and universities regarding AI tools’ incorporation in education.

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2003User Acceptance of Information Technology: Toward A Unified View1 2014A new criterion for assessing discriminant validity in variance-based structural equation modeling 2018When to use and how to report the results of PLS-SEM 2015A primer on partial least squares structural equation modeling (PLS-SEM)1993Research methods for business: A skill building approach

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