The DOI matches its Crossref record; 144 of the 146 references it cites were found in a registry or an index.
Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors
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“Earlier studies, according to Abdullah and Ward [84,85], found that PE had a substantial impact on the PEOU and PU for e-learning.”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
In the citing paper
“Moreover, Abdullah and Ward [85] reported a substantial and optimistic relationship between PE and PEOU for e-learning in eight out of eleven research studies.”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
In the citing paper
“Perceived enjoyment is essential in assessing the adoption of e-learning.”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
In the citing paper
“The same is true between PE and PU, as is evident from eight out of eight studies (100%).”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
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“Starting from Computer Anxiety which is the most common external factor of TAM so that the effects of these commonly used external factors are on the two main constructions of TAM, Perceived Ease of Use and Perceived Usefulness, (Abdullah & Ward, 2016).”
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“They have been applied in investigating factors that influence the adoption and continued use of educational technologies by instructors (Friedrich and Hron, 2011; Abdullah and Ward, 2016; Panigrahi et al., 2018; Kaushik and Verma, 2019; Scherer et al., 2019; Alghazi et al., 2020; Liu et al., 2020; Al-Nuaimi and Al-Em…”
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“According to (Abdullah & Ward, 2016) According to the definition, perceived enjoyment is "the amount to which an individual appreciates using specific technology for reasons other than performance."”
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“As a result, several contextual variables like facilitating conditions of technology, subjective norms, interest, knowledge, and self-efficacy have been used to extend the model (Abdullah & Ward, 2016).”
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“Addressing evolving research demands, some academics have introduced the Extended Technology Acceptance Model (ETAM) (Abdullah & Ward, 2016).”
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“In addition, earlier research has expanded the TAM model, resulting in several external influences (Abdullah & Ward, 2016).”
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“On the other hand, some studies have found that experience influences PU (Irani, 2020; Horst et al., 2007; Abdullah & Ward, 2016; Tubaishat, 2017).”
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Metadata
- Authors
- Abdullah, F., & Ward, R.
- Affiliations
- University of Huddersfield (GB)
- Corresponding author
- Abdullah, Fazil
- ORCID
- Ward, Rupert
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 56
- Pages
- 238-256
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2214098284
- Cited by
- 986
- References
- 146
- Citations by year
- 2026: 67 · 2025: 88 · 2024: 113 · 2023: 155 · 2022: 157 · 2021: 163 · 2020: 96 · 2019: 76 · 2018: 39 · 2017: 22 · 2016: 10
- FWCI
- 46.53
- Type
- journal article
- Language
- en
- Open access
- green
- eprints.hud.ac.uk
- Locations
- Computers in Human Behavior (publishedVersion)
- University of Huddersfield Repository (University of Huddersfield) (submittedVersion)
- Huddersfield Research Portal (University of Huddersfield) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Online and Blended Learning
- Social Sciences › Gender Studies › Gender and Technology in Education
- Keywords
- technology acceptance model, e-learning adoption, extended technology acceptance model, self-efficacy, subjective norms, enjoyment, computer anxiety, user experience, perceived ease of use, perceived usefulness, external factors, student acceptance of technology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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