Understanding ChatGPT continuous usage intention: The role of information quality, information usefulness, and source trust

Although ChatGPT has gained widespread popularity, research on users’ post-adoption behaviors remains limited. This study examined whether information quality (across five distinct attributes) predicts information usefulness and source trust, which, in turn, influences users’ intention to continue using ChatGPT. Data from ChatGPT users were analyzed using structural equation modeling. The results indicate that the accuracy, richness, timeliness, format, and relevance of the information presented by ChatGPT were significantly associated with both information usefulness and source trust. Moreover, the findings showed that both information usefulness and source trust were positively and significantly associated with the continuance usage intention toward ChatGPT. This study sheds light on the factors that drive user perceptions and behaviors and offers a deeper understanding of the continuance usage within the domain of generative AI like ChatGPT. The implications of these findings and directions for future research are discussed.