Abstract
In the 4th industrial revolution era, cloud computing has been spreading in various industries. In the healthcare industry as well, calls for advancing the healthcare information system (HIS) through cloud-based digital transformation are gaining momentum so that healthcare services can be received ‘anytime and anywhere’ from a patient perspective, not from a hospital one. Most of the previous studies on cloud computing in the field of HIS have been conducted from the perspective of hospitals that establish and operate HIS; there is a clear limitation that it has not been conducted from the perspective of patients who need healthcare services. Therefore, based on the value-based adoption model (VAM), this study derives perceived risk (i.e., privacy risk, performance risk, institutional risk) and perceived benefit (i.e., usefulness, shared benefit, economic benefit) factors, and investigates their impact on perceived value and acceptance resistance in the context of cloud-based HIS. A structural equation model analysis was conducted using 118 samples obtained through an online survey targeting potential HIS users at general hospitals in Korea. As a result of hypotheses testing, it was found that privacy risk, shared benefit, and economic benefit significantly impact perceived value, which in turn negatively influences acceptance resistance. This study is the first to apply the VAM to the context of cloud-based HIS. Research findings would help managers considering the introduction of cloud-based HIS in the future prepare practical guidelines to reduce user acceptance resistance effectively.
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