This study aims to provide an empirical investigation of different factors that could affect AI adoption in healthcare. Since prior research has overlooked AI adoption in heal...lthcare, especially in the Arab context, this research in progress can fill this untapped gap and develop a theoretical framework to evaluate the customer-concerned factors (ie, trust and privacy concerns) across different healthcare services. Due to its good generalizability, a theory of planned behavior can fit well to the healthcare context and hence can provide an adequate theoretical lens to understand the phenomenon of AI adoption. This study can expand our knowledge of AI and highlight the importance of its role to reinforce the provided healthcare services as well as meet the pressing patients' needs for better quality.
|Effective start/end date
|31/08/23 → 31/08/24
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.