Determinants of Behavioral Intention to Use Generative AI: The Role of Trust, Personal Innovativeness, and UTAUT II Factors

This study examines the key determinants influencing Indonesian university students' behavioral intention to use generative AI, focusing on the roles of trust, personal innovativeness, and factors from the Unified Theory of Acceptance and Use of Technology II (UTAUT II). The study employed a survey research method, collecting 480 valid responses. Data analysis was conducted using descriptive statistics and PLS-SEM to identify significant predictors of generative AI adoption. The findings indicate that performance expectancy, facilitating conditions, hedonic motivation, personal innovativeness, price value, and trust significantly influence students' intention to adopt generative AI, while effort expectancy and social influence were found to be insignificant. The study contributes to theory by extending UTAUT II with trust and personal innovativeness in the context of generative AI adoption. Practically, it offers insights for policymakers to enhance the adoption of AI by focusing on factors that matter most to students.