Implementation of ChatGPT for university students studying financial modules

Abstract

With the topic “Implementation of ChatGPT for university students studying financial modules”, this study is launched with a target of examining the determinants that impact the inclination of university students and their pleasure-driven drive to use ChatGPT for academic subjects, especially within the realm of financial modules. We built up a proposed model based on The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). In our model, variables consist of Effort expectancy, Performance expectancy, Social Influence, Price value, Behavioral intention to use, Hedonic motivation and Actual use. The subjects of the survey are people from 18 to above 30, who are studying, working and living in Ho Chi Minh City, especially students at universities in Ho Chi Minh City. The research method in this study is quantitative research. Quantitative research was carried out by an online questionnaire with some questions related to the topic. This questionnaire has collected a sample of 482 respondents through Google Form. Smart PLS version 4.0 is the main software that we used during conducting this research to combine and analyze the data, which serves to assess the confidence interval, validity, and significance of the variables. Consequently, the result showed that performance expectation and price value have no significant effect on hedonic motivation, while effort expectation, performance expectation, social influence, and trust significantly influence the behavioral intention to use ChatGPT. Effort anticipation, social influence, and trust also have a significant impact on hedonic motivation. Finally, our group also pointed out some conclusions and implications for researchers and ChatGPT’s inventors. The limitations and recommendations may be helpful for having an insight into ChatGPT users. Therefore, they can improve the quality of ChatGPT’s system to increase a good experience for users.