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의료정보서비스 애플리케이션의 지속적 이용의도에 대한 연구: 확장된 계획적 행동이론의 응용
진석 한국컴퓨터정보학회 2024 韓國컴퓨터情報學會論文誌 Vol.29 No.2
The purpose of this study was to verify the correlation between variables that affect the intention to continue using medical information service applications. Then, we established a research model based on ETPB and conducted an empirical study using PLS-SEM.According to the empirical analysis results, First, intimacy, prior knowledge, and cost saving were confirmed to have a significant impact on the TPB variables such as attitude, subjective norm, and perceived behavioral control. Second, it was confirmed that TPB variables had a significant impact on behavioral intention, and behavioral intention had a significant impact on continued use intention. Third, it was confirmed that familiarity, prior knowledge, and cost saving had a significant impact on the intention to continue use through the mediation of behavioral intention based on the perception shift of medical consumers. The significance of this study is that it empirically investigated the behavior of medical consumers by deriving the impact on their intention to continue using medical information service applications through their behavioral intentions.
웨어러블 헬스케어 기기의 수용에 관한 연구: 확장된 통합기술수용모형과 혁신저항모형의 통합적 접근
진석,안현철 한국정보시스템학회 2019 情報시스템硏究 Vol.28 No.3
Purpose The purpose of this study is to explain users’ wearable healthcare device adoption using performance expectancy, effort expectancy, the hedonic motivation and price value of UTAUT2, and to identify the causal relationship between intention to use wearable healthcare device and innovation resistance formed by perceived risks. Design/methodology/approach The research model proposed in this study is based on UTAUT2(Extended Unified Theory of Acceptance and Use of Technology) and MIR(Model of Innovation Resistance). In specific, performance expectancy, effort expectancy, hedonic motivation and price value of UTAUT2 and innovation resistance formed by perceived risks of MIR are adopted in our research model. To validate the research model, we carry out the analysis of the survey data using Smart PLS 3.0 to test the hypotheses. Findings According to the empirical analysis results, this study confirms that the performance expectancy, effort expectancy, hedonic motivation, and price value have significant effects on the intention to use wearable healthcare devices. It also finds that perceived risk affects innovation resistance and in turn, innovation resistance affects the intention to use wearable healthcare devices.