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This paper is motivated by the widespread availability and usage of AI technology such as ChatGPT in academia. The study adopted the Unified Theory of Acceptance and Use of Technology (UTAUT), herd behavior, and a mediator (website familiarity) to demonstrate behavioral intention to use ChatGPT among university students. A total of 202 valid sample sizes were used, all of which have access to ChatGPT. The structural equation model analysis's outcome indicates that performance expectancy, social influence, facilitating conditions, and imitating others positively affected behavioral intention to use ChatGPT. However, effort expectancy and discounting one's own information did not have a significant effect. Additionally, website familiarity mediated the relationship between performance expectancy, effort expectancy, and social influence but did not mediate the relationship between facilitating conditions and intention to use ChatGPT, respectively. The study suggests AI developers should ensure they offer technologies that can perform and possess the required features that aid users in adopting AI technologies.
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Benard et al. (2024) studied this question.
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