Investigating the Factors Influencing ChatGPT Adoption Intention among Chinese Higher Education Personnel: An Empirical Study Based on the Extended UTAUT2 Model

Abstract

This study explores the factors influencing the intent of Chinese higher education professionals to use ChatGPT, expanding our understanding to contexts where the technology is not officially accessible. We conducted an online survey involving 317 Chinese students and higher education staff, drawing insights from the UTAUT2 model. We established a structural equation model for data analysis. Our findings reveal direct influences of performance expectancy, social influence, price value, personal innovativeness, and technology fear on usage intention. We also observed indirect effects stemming from effort expectancy, context awareness, and perceived risk on usage intention. Furthermore, our results highlight that personal innovativeness moderates the impact of technology fear on usage intention. This study deepens our understanding of attitudes toward ChatGPT in higher education, especially in situations where official access is restricted, and extends the UTAUT2 model by establishing a connection between the psychological traits of higher education personnel and their technology acceptance