Influences on medical app adoption by patients
The unified theory of acceptance and use of technology model and the moderating effects of technology readiness
Bibliographic Data
| ID | 12008253 |
|---|---|
| Authors | Yung-Zung Chang (Department of Family Medicine, Taoyuan Armed Forces General Hospital, Taiwan, R.O.C), Chen-Wei Yu (0000-0002-3497-6840, Department of Family Medicine, Taoyuan Armed Forces General Hospital, Taiwan, R.O.C), Cheng-Min Chao (0000-0003-4883-770X, National Taichung University of Science and Technology, corresponding author), Fang-Chen Lin (Department of Health and Leisure Management, Hsin Sheng Junior College of Medicine Care and Management, Taoyuan, Taiwan) |
| Year | 2020 |
| Volume | 61 |
| Issue | 3 |
| Pages | 639-652 |
| Publication date | 2020-12-17 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | The Social Science Journal (JOURNAL) |
| Journal identifiers | ISSN: 0362-3319 • E-ISSN: 1873-5355 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/03623319.2020.1848338 |
| OpenAlex | W3112584694 |
| Language | EN |
| Citations received | 1 |
| References cited | 43 |
Hospitals have begun to provide their own apps to improve the efficiency of hospital services. This research investigated the factors influencing the adoption of medical apps by hospital patients, using a theoretical model that combines the unified theory of acceptance and use of technology with the concept of technology readiness. Data were obtained from hard copy survey responses to self-report questionnaires administered to patients of a hospital in Taoyuan, Taiwan. Data were obtained from 692 participants and analyzed using a structural equation model. The results indicate that performance expectancy, effort expectancy, and social influence have significant positive effects on the behavioral intention of individuals, but technology readiness has significant negative effects, indicating that technology readiness moderates the association between performance expectancy and behavioral intention. The findings are expected to assist hospitals in deciding whether to consider medical apps when investing in information technology
Human–computer interaction · Internet privacy · Knowledge management · Smartphone app · Technology Acceptance Model · Usability · Computer Science · Consumer Retail Behavior Studies · Digital Marketing and Social Media · Psychology · Technology Adoption and User Behaviour
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |