Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF model
Abstract Background The 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...
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| Format: | Article |
| Language: | English |
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BMC
2022-12-01
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| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12911-022-02060-9 |
| _version_ | 1811203529106259968 |
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| author | Mohammadhiwa Abdekhoda Afsaneh Dehnad Javad Zarei |
| author_facet | Mohammadhiwa Abdekhoda Afsaneh Dehnad Javad Zarei |
| author_sort | Mohammadhiwa Abdekhoda |
| collection | DOAJ |
| description | Abstract Background The 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. Method This 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). Results The 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. Conclusion By 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. |
| first_indexed | 2024-04-12T02:56:55Z |
| format | Article |
| id | doaj.art-0fbd19c5e50c4ad28e3d457350cf1b76 |
| institution | Directory Open Access Journal |
| issn | 1472-6947 |
| language | English |
| last_indexed | 2024-04-12T02:56:55Z |
| publishDate | 2022-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj.art-0fbd19c5e50c4ad28e3d457350cf1b762022-12-22T03:50:46ZengBMCBMC Medical Informatics and Decision Making1472-69472022-12-012211810.1186/s12911-022-02060-9Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF modelMohammadhiwa Abdekhoda0Afsaneh Dehnad1Javad Zarei2Department of Medical Library and Information Sciences, School of Health Management and Medical Informatics, Tabriz University of Medical SciencesSchool of Health Management and Information Sciences, Iran University of Medical SciencesDepartment of Health Information Technology, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical SciencesAbstract Background The 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. Method This 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). Results The 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. Conclusion By 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.https://doi.org/10.1186/s12911-022-02060-9E-learningAdoptionImplementationFaculty memberTutorsCovid-19 |
| spellingShingle | Mohammadhiwa Abdekhoda Afsaneh Dehnad Javad Zarei Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF model BMC Medical Informatics and Decision Making E-learning Adoption Implementation Faculty member Tutors Covid-19 |
| title | Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF model |
| title_full | Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF model |
| title_fullStr | Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF model |
| title_full_unstemmed | Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF model |
| title_short | Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF model |
| title_sort | factors influencing adoption of e learning in healthcare integration of utaut and ttf model |
| topic | E-learning Adoption Implementation Faculty member Tutors Covid-19 |
| url | https://doi.org/10.1186/s12911-022-02060-9 |
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