https://orcid.org/0000-0001-7442-4736
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Abstract
In the ever-evolving domain of artificial intelligence (AI), understanding how users interact with AI-driven solutions, like ChatGPT, has become vital. The purpose of this research is to explore factors influencing user satisfaction and their willingness to subscribe to ChatGPT's superior services. Employing partial least squares structural equation modeling, the study examines responses from 554 ChatGPT users. The results reveal that perceived intelligence and service quality of ChatGPT significantly influence perceived usefulness, knowledge management, and overall user satisfaction. Interestingly, while perceived usefulness notably augments user satisfaction, it doesn’t directly drive willingness to subscribe to paid services. Similarly, knowledge management boosts satisfaction but doesn’t affect payment readiness. Importantly, user satisfaction substantially encourages willingness to pay for advanced features. Personal innovativeness contributes to willingness to pay, but it doesn’t modify the impacts of perceived usefulness, knowledge management, or satisfaction on payment readiness. Finally, perceived risk negatively impacts willingness to pay. These findings illuminate the intricate mechanisms governing user-AI interactions and factors determining their readiness for premium subscriptions. This research lays groundwork for future scholarly investigations of AI-user dynamics.
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No potential conflict of interest was reported by the author.
Additional information
Notes on contributors
Hyeon Jo
Hyeon Jo received his BS, MS, and PhD degrees from the Korea Advanced Institute of Science and Technology (KAIST) in 2004, 2006, and 2012, respectively. His current affiliation is with the HJ Institute of Technology and Management, which conducts research related to emerging technology, business, and human behavior.