ArticleBMC medical informatics and decision making2022
Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF model.
Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Determinants of Health Care Technology Adoption Using an Integrated Unified Theory of Acceptance and Use of Technology and Task Technology Fit Model: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Predictors of Health Care Practitioners' Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology.Journal of medical Internet research · 2024Pooled it
- Determinants of healthcare professionals' acceptance of DeepSeek-assisted clinical decision support applications: a cross-sectional study.BMC medical informatics and decision making · 2026Article
- Cross-regional comparison of university teachers' intentions to adopt digital teaching in China: a multi-group SEM analysis based on UTAUT.Frontiers in psychology · 2026Article
- Virtual reality vs. Manikin based training on emergency life saving basic rescue skills: a summative evaluation.BMC medical education · 2025Article
- Development and validation of a comprehensive tool to study the various elements influencing the utilization of E-learning among undergraduate health professions students.BMC medical education · 2025Article
- Understanding factors influencing the adoption of moxibustion techniques by the population: an extended study based on the UTAUT model.Frontiers in public health · 2025Article
- Unlocking engagement: exploring the drivers of elderly participation in digital backfeeding through community education.Frontiers in psychology · 2025Article
- Article
- Successful Electronic Consultation Service Initiative in Quebec, Canada With Primary Care Physicians' and Specialists' Experiences on Acceptance and Use of Technological Innovation: Cross-Sectional Exploratory Study.JMIR formative research · 2024Article
- From theory to practice: An integrated TTF-UTAUT study on electric vehicle adoption behavior.PloS one · 2024Article
- Analysis of willingness to use health management APP for female college students: application of UTAUT model based on Fogg theory.Frontiers in psychology · 2024Article
- Adopting AI in medical ethics review: A configurational fsQCA study of practitioners' willingness.Digital healthArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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