Discovering students' continuous intentions to use ChatGPT in higher education: a tale of two theories

Purpose: This study investigates the factors affecting university students’ intentions to continuously use ChatGPT by integrating the UTAUT3 (Unified Theory of Acceptance and Use of Technology) and ISS (Information Systems Success) theories. Design/methodology/approach: By using self-reported questionnaires, 388 usable data from university students in Malaysia were analysed using partial least squares structural equation modelling. Findings: The results indicate that hedonic motivation, habit, and facilitating conditions significantly impact students’ continuous intentions to utilise ChatGPT. Furthermore, system quality, information quality, service quality, and conversational quality significantly influence students’ ChatGPT satisfaction. Crucially, satisfaction is a critical factor in continuous intention to utilise ChatGPT. Originality/value: This research integrates UTAUT3 and ISS theories to understand factors influencing university students’ satisfaction with continuous intentions to use ChatGPT, filling the gap in previous studies that have focused on these theories separately.