Abstract
This article investigates the technological acceptance of cloud computing in the information and communications technology departments of Jordanian government hospitals. Data was collected from 165 participants (including junior, senior, and managerial staff) in 24 Jordanian hospitals in 2023. For in-depth analysis, Smart PLS 4.1.0.2 was used to evaluate the model and test the hypotheses. The results supported all hypotheses, indicating that performance expectancy, effort expectancy, social influence, cloud risks, and facilitating conditions significantly influence both the behavioral intention and use behavior of cloud computing. Finally, the findings suggest that behavioral intention of cloud computing plays a mediating role in the relationship between the predictors and actual use behavior of cloud computing.
Published Version
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