dc.contributor.authors |
Turan, Aykut H.; Koc, Tugba |
|
dc.date.accessioned |
2023-01-24T12:09:00Z |
|
dc.date.available |
2023-01-24T12:09:00Z |
|
dc.date.issued |
2022 |
|
dc.identifier.issn |
1460-4582 |
|
dc.identifier.uri |
http://dx.doi.org/10.1177/14604582221096041 |
|
dc.identifier.uri |
https://hdl.handle.net/20.500.12619/99748 |
|
dc.description |
Bu yayın 06.11.1981 tarihli ve 17506 sayılı Resmî Gazete’de yayımlanan 2547 sayılı Yükseköğretim Kanunu’nun 4/c, 12/c, 42/c ve 42/d maddelerine dayalı 12/12/2019 tarih, 543 sayılı ve 05 numaralı Üniversite Senato Kararı ile hazırlanan Sakarya Üniversitesi Açık Bilim ve Açık Akademik Arşiv Yönergesi gereğince telif haklarına uygun olan nüsha açık akademik arşiv sistemine açık erişim olarak yüklenmiştir. |
|
dc.description.abstract |
Health Information Technology (HIT) systems are receiving increasing attention in recent years. Yet, individual adoption research in health care settings, especially in developing countries are quite limited. Moreover, large body of Information Systems research has focused on user perceptions to form intentions to use a particular technology. However, the antecedents and consequences of perceptions remained largely unanswered in existing research. This study aims to fill this gap by proposing and testing a research model based on a modified Technology Acceptance Model (m - TAM) which incorporates socio psychological and cognitive factors to assess the HIT's adoption level of Turkish physicians. To do so, two different methods were used to collect data from head physicians, assistant head physicians, and physicians: face to face and online survey. Total 212 useful responses were returned. 174 of them were face-to-face surveys which were administrated to all the first level and some second and third level health organizations. The rest of the surveys were administrated to the second and third level healthcare organizations via online participation. Data were analyzed by Structural Equation Modelling via SmartPLS software program. Results present that commitment is a strong predictor of HIT usage, whereas neither motivation nor resistance has a significant impact on HIT usage. |
|
dc.language |
English |
|
dc.language.iso |
eng |
|
dc.publisher |
SAGE PUBLICATIONS INC |
|
dc.relation.isversionof |
10.1177/14604582221096041 |
|
dc.subject |
Health Care Sciences & Services |
|
dc.subject |
Medical Informatics |
|
dc.subject |
Health information technologies |
|
dc.subject |
electronic health records |
|
dc.subject |
modified technology acceptance model |
|
dc.title |
Health information technology adoption and acceptance of Turkish physicians-A model proposal and empirical assessment |
|
dc.type |
Article |
|
dc.contributor.authorID |
Koç, Tuğba/0000-0002-2454-9992 |
|
dc.identifier.volume |
28 |
|
dc.relation.journal |
HEALTH INFORMATICS JOURNAL |
|
dc.identifier.issue |
2 |
|
dc.identifier.doi |
10.1177/14604582221096041 |
|
dc.identifier.eissn |
1741-2811 |
|
dc.contributor.author |
Turan, Aykut H. |
|
dc.contributor.author |
Koc, Tugba |
|
dc.relation.publicationcategory |
Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı |
|
dc.rights.openaccessdesignations |
gold |
|