A new hybrid model for exploring the adoption of online nursing courses
Abstract
With the advancement in educational technology and internet access in recent years, nursing academia is searching for ways to widen nurses' educational opportunities. The online nursing courses are drawing more attention as well. The online nursing courses are very important e-learning tools for nursing students. The research combines the innovation diffusion theory and technology acceptance model, and adds two research variables, perceived financial cost and computer self-efficacy to propose a new hybrid technology acceptance model to study nursing students' behavioral intentions to use the online nursing courses. Based on 267 questionnaires collected from six universities in Taiwan, the research finds that studies strongly support this new hybrid technology acceptance model in predicting nursing students' behavioral intentions to use the online nursing courses. This research finds that compatibility, perceived usefulness, perceived ease of use, perceived financial cost and computer self-efficacy are critical factors for nursing students' behavioral intentions to use the online nursing courses. By explaining nursing students' behavioral intentions from a user's perspective, the findings of this research help to develop more user friendly online nursing courses and also provide insight into the best way to promote new e-learning tools for nursing students. This research finds that compatibility is the most important research variable that affects the behavioral intention to use the online nursing courses.
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- Authors
- Tung, F.-C., & Chang, S.-C.
- Affiliations
- Taiwan Shoufu University (TW)
- National Cheng Kung University (TW)
- Corresponding author
- Tung, Feng-Cheng
- ORCID
- Tung, Feng-Cheng
- Venue
- Nurse Education Today
- Publisher
- Elsevier BV
- Published
- 2008-04
- Volume
- 28
- Issue
- 3
- Pages
- 293-300
- ISSN
- 0260-6917 (ISSN-L)
- OpenAlex
- W2080660860
- Cited by
- 53
- References
- 24
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 3 · 2022: 1 · 2021: 3 · 2020: 5 · 2019: 4 · 2018: 1 · 2017: 1 · 2016: 2 · 2015: 3 · 2014: 4 · 2013: 3 · 2012: 4
- FWCI
- 10.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nurse Education Today (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Online and Blended Learning
- Social Sciences › Education › Technology-Enhanced Education Studies
- Keywords
- online nursing courses, e-learning adoption, diffusion of innovation theory, technology acceptance model, nursing students, behavioral intention, perceived financial cost, computer self-efficacy, compatibility, perceived usefulness, perceived ease of use
- MeSH terms
- Adolescent, Adult, Attitude, Attitude to Computers, Diffusion of Innovation, Education, Nursing, Factor Analysis, Statistical, Female, Humans, Male, Students, Nursing, Taiwan, Likelihood Functions, Models, Educational, Education, Distance, Self Efficacy, Internet
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