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KMID : 1235020220160010049
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Health Service Management Review
2022 Volume.16 No. 1 p.49 ~ p.61
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Factors Influencing the Adoption of Smart Hospital Healthcare Services: An Online Survey of Chinese Consumers
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Hong Meiling
Kang Seung-Mi
Yoo Seung-Chul
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Abstract
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While sophisticated health care services have successfully resolved a variety of patients' medical concerns in recent years, patients continue to express concern over sensitive information such as biometric data and personal medical records. As a result, when patients utilize intelligent hospital health care services, both positive and negative utility variables coexist. As a result, this study developed a research model that considers user acceptance and resistance to healthcare services. The acceptance variables for smart healthcare were analyzed using the Unified Theory of Acceptance and Use of Technology, and the resistance components using the Innovation Resistance Model. A survey of Chinese consumers who are actively adopting smart hospital healthcare services was conducted online. We collected and analyzed data from 282 patients utilizing Smart Pls. The study discovered that social influence and success anticipation factors influenced attitudes toward service positively.
Nonetheless, neither facilitation circumstances nor effort expectation factors had a statistically significant effect on attitudes. Furthermore, both privacy concerns and economic risks, considered resistance factors, positively influenced innovation resistance. Finally, attitudes toward smart hospital healthcare services positively influenced acceptance intention, whereas innovation resistance negatively influenced acceptance intention. The significance of this study is that it examines user acceptance and resistance to services from an integrated perspective within the context of smart hospital healthcare services, which are gaining popularity worldwide.
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KEYWORD
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Smart Hospital Healthcare Service, Unified Theory of Acceptance and Use of Technology, Innovation Resistance Model
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