BMC Medical Informatics and Decision Making | |
Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF model | |
Research | |
Javad Zarei1  Mohammadhiwa Abdekhoda2  Afsaneh Dehnad3  | |
[1] Department of Health Information Technology, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran;Department of Medical Library and Information Sciences, School of Health Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran;School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran; | |
关键词: E-learning; Adoption; Implementation; Faculty member; Tutors; Covid-19; | |
DOI : 10.1186/s12911-022-02060-9 | |
received in 2022-05-23, accepted in 2022-11-22, 发布年份 2022 | |
来源: Springer | |
【 摘 要 】
BackgroundThe importance of successful implementation of e-learning, especially since the emergence of the Covid-19 pandemic, has become increasingly apparent to universities. Thus, identifying the effective factors in adopting e-learning in the Covid-19 pandemic is crucial. This study was conducted to identify determining factors in adopting E-learning in healthcare.MethodThis was a descriptive-analytical study in which 143 faculty members from Iran were randomly selected. The faculty members’ intentions, concerning the adoption of e-learning, were assessed by the conceptual path model of integration of unified theory of acceptance and use of technology (UTAUT) and The Task-Technology Fit (TTF).ResultsThe results showed that the combination of the two classical theories, UTAUT and TTF, was an appropriate model to explain faculty members’ intention in adopting e-learning. Moreover, the findings showed that technology and task characteristics, task- technology fit, social influences, effort expectancy, performance expectancy and facilitating conditions had direct and significant effect on e-learning adoption.ConclusionBy presenting a conceptual path model to elucidate users’ behavior in adopting e-learning, this study investigated and identified the key determining factors in adopting e-learning. The findings of the present study can contribute to the design and implementation of e-learning by practitioners, policy makers, and curriculum designers.
【 授权许可】
CC BY
© The Author(s) 2022
【 预 览 】
Files | Size | Format | View |
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RO202305068366355ZK.pdf | 969KB | download | |
Fig. 1 | 2451KB | Image | download |
MediaObjects/12902_2022_1215_MOESM2_ESM.docx | 14KB | Other | download |
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Fig. 1
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