This study investigates how psychological and technical factors drive user decision-making regarding AI adoption. Combining self-efficacy theory with the technology acceptance model, researchers surveyed 1,252 U.S. adults to evaluate user attitudes toward AI. The findings reveal that perceived AI ethics serves as a crucial mediator between a user's self-efficacy and key technological factors, ultimately fostering more positive overall attitudes toward adopting AI tools.
Integrated Theoretical Framework. The research combines self-efficacy theory with the technology acceptance model (TAM) to establish a multistage framework for understanding AI adoption
Mediating Role of AI Ethics. The study identifies perceived AI ethics as a critical mediating variable that bridges individual self-efficacy with technological factors to drive positive user attitudes.
Empirical Scale. The analysis leverages a nationwide U.S. survey sample (N = 1,252) to validate the structural mechanisms behind user decision-making in AI technology adoption.
Shao, C., Nah, S., Makady, H., & McNealy, J. (2025). Understanding User Attitudes Towards AI-Enabled Technologies: An Integrated Model of Self-Efficacy, TAM, and AI Ethics. International Journal of Human–Computer Interaction, 41(5), 3053–3065. https://doi.org/10.1080/10447318.2024.2331858
