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http://dx.doi.org/10.14400/JDC.2022.20.2.325

A Research on the intention to accept telemedicine of undergraduate students: based on Social Cognitive Theory and Technology Acceptance Model  

Jeon, Ha-Jae (School of AI Healthcare, CHA University)
Park, Seo-Hyun (School of AI Healthcare, CHA University)
Park, Chae-Rim (School of AI Healthcare, CHA University)
Shin, Young-Chae (School of AI Healthcare, CHA University)
Park, Se-Yeon (School of AI Healthcare, CHA University)
Han Se-mi (School of AI Healthcare, CHA University)
Publication Information
Journal of Digital Convergence / v.20, no.2, 2022 , pp. 325-338 More about this Journal
Abstract
This study was conducted to explore the acceptance behavior of undergraduate students toward telemedicine, which is temporarily allowed in the COVID-19. We applied social cognitive theory and technology acceptance model in order to reflect the convergence characteristics between medical service and digital technology of telemedicine. Based on these theoretical backgrounds, we investigated perception toward telemedicine and determinants of intention to accept telemedicine. To examine the research model and hypothesis, an online survey was conducted for college students who have not used telemedicine from September 8 to 10, 2021. A total of 184 data were collected, and multiple regression analysis was conducted using the SPSS 28.0 program. The results showed that health technology self-efficacy, usefulness and convenience benefits, social norm, and trust in telemedicine providers had positive effects on intention to accept telemedicine. This study is meaningful in that it selected undergraduate students, who are digital natives, as new targets for telemedicine, and presented the basic direction of strategies to target them.
Keywords
Telemedicine; undergraduate students; acceptance intention; social cognitive theory; technology acceptance model; COVID-19;
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