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
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions
Ryan, R. M., & Deci, E. L. (2000) · Contemporary Educational Psychology · doi:10.1006/ceps.1999.1020 · Cited by 18,666
Self-efficacy mechanism in human agency
Bandura, A. (1982) · American Psychologist · doi:10.1037/0003-066x.37.2.122 · Cited by 15,975
Cohen, J. (1992) · Psychological Bulletin · doi:10.1037//0033-2909.112.1.155 · Cited by 8,771
Computer Self-Efficacy: Development of a Measure and Initial Test
Compeau, D. R., & Higgins, C. A. (1995) · MIS Quarterly · doi:10.2307/249688 · Cited by 6,553
(1985) · Cited by 6,185
Why do people use information technology? A critical review of the technology acceptance model
Legris, P., Ingham, J., & Collerette, P. (2003) · Information & Management · doi:10.1016/s0378-7206(01)00143-4 · Cited by 4,250
Flagged first, then by citations
2 of the 146 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- Bhatiasevi, 2011, Acceptance of e-learning for users in higher education: an extension of the technology acceptance model, The Social Sciences, 6, 513
- Hsu, 2013, Vol. 3(4), 211
- Lin, 2010, Understanding college students' continuing intentions to use multimedia e-learning systems, World Transactions on Engineering and Technology Education, 8, 488
- Shen, 2010, Exploring users' attitudes and intentions toward the interactive whiteboard technology environment, International Review on Computers and Software, 5, 200
Cited by
Sorted by citations
Items 901–981 of 981
Bienvenido-Huertas, D., Rubio-Bellido, C., León-Muñoz, M. Á., & Sánchez-García, D. (2024) · Springer eBooks · doi:10.1007/978-3-031-59644-5_6 · Cited by 1
Hardwick, L. (2024) · Cronfa (Swansea University) · doi:10.23889/suthesis.66921
Zhang, X., Huang, Y., Chen, M., & Wang, F. (2024) · International Journal of Web-Based Learning and Teaching Technologies · doi:10.4018/ijwltt.348656 · Cited by 2
Yu, S., Chen, Y., & Chen, X. (2024) · International Conference on Computer Information and Big Data Applications (CIBDA) · doi:10.1145/3671151.3671302
“It is evident that digital learning materials have become a significant focus [ 17 ] .”
Alvi, I. (2024) · Springer Proceedings in Humanities and Social Sciences · doi:10.1007/978-981-97-3701-7_7
Islam, J. U., Rasool, A., & Parry, M. A. (2024) · Tourism, hospitality & event management · doi:10.1007/978-3-031-59535-6_11
Hela, L. (2024) · Globalization and Business · doi:10.35945/gb.2024.18.010
Liu, X., & Zhu, L. (2025) · International Journal of Sociologies and Anthropologies Science Reviews · doi:10.60027/ijsasr.2025.5452
“Prior research has shown that the E-learning experience has a positive impact on users' perceived ease of use(Abdullah & Ward, 2016; Chang et al., 2017; Mailizar, Almanthari, et al., 2021).”
Analysis of Pre-Service Early Childhood Teachers’ Acceptance Intentions of AI-Driven Education
Lee, E.-K. (2025) · Journal of Digital Contents Society · doi:10.9728/dcs.2025.26.2.499
Putra, T. S., Rakhmawati, N. A., & Rahardjo, J. (2024) · IEEE International Conference on Computing (ICOCO) · doi:10.1109/icoco62848.2024.10928173
Matarirano, O., & Musaigwa, M. (2025) · doi:10.4102/aosis.2025.bk494.02
Wu, C., Yeh, P.-C., Huang, K., & Hu, H.-Y. (2025) · Educational Gerontology · doi:10.1080/03601277.2025.2500728
“These findings challenge traditional TAM assumptions, which link PEOU to ATUB among younger or professional users (Abdullah et al., 2016).”
InfluentialHommel, M. (2025) · Europäische Kulturen in der Wirtschaftskommunikation · doi:10.1007/978-3-658-47591-8_6
Özdemir, A. M. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1593146
Wijaya, L., Lasian, L., Enriquez, N., Christhia, M. L., Rezky, R., & Putra, F. R. (2024) · International Conference of the African Federation of Operational Research Societies (AFROS) · doi:10.1109/afros62115.2024.11037102
Hoang, Y. N., Ho, D. K. N., Chen, Y., Chiu, W., Liu, K., Chiu, T. H. T., Chen, L.-C., Fang, L.-W., Hương, L. T., Liễu, N. T., et al. (2025) · Digital Health · doi:10.1177/20552076251350805
Lopetegi, E., & Azkue, J. J. (2025) · Biomedical visualization · doi:10.1007/978-3-031-91849-0_7
Factors Influencing Univerity Students' Acceptance of Using Blooket as A Gamified Learning Platform
Phan, B. H. V., Tong, H. A., Nguyen, V. T., & Ly, D. T. (2024) · International Conference on Modern Educational Technology (ICMET) · doi:10.1145/3729434.3729439
“Gamification integrates gamified aspects in non-game environments to actively engage and motivate students [24, 27].”
López, D. C., Pera, E. M., Abdelnour-Nocera, J., & Yingta, N. (2025) · IFIP advances in information and communication technology · doi:10.1007/978-3-032-00777-3_8 · Cited by 1
Amir, M., Javed, S., & Hisam, M. W. (2025) · International Journal of Educational Management · doi:10.1108/ijem-06-2023-0306 · Cited by 5
Exploring Cultural Heritage with AR: The TAM Case Study of Nvshu
Xie, Y., Wu, X., Zhang, Y., Chen, R., Saha, T., Dou, Y., & Ji, C. (2025) · Lecture notes in computer science · doi:10.1007/978-981-95-0100-7_3
Acheampong, P. A., Adusei, M. S., & Sam, L. (2025) · Research Square · doi:10.21203/rs.3.rs-7142307/v1
BOARD # 64: An Investigation of Factors Impacting Student Achievement in Computer Literacy
Prinyawiwatkul, R., Warren, B., Bai, S., & Lawson, A. (2025) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--55879
Boaheng, I. (2025) · E-Journal of Humanities Arts and Social Sciences · doi:10.38159/ehass.20256922 · Cited by 1
Wang, W., Zhao, P., & Zou, B. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5431248
Li, X., Yu, S., Li, Z., Chen, C., Yuan, Y., & Xie, H. (2025) · International Journal of Tourism Research · doi:10.1002/jtr.70111
Ateş, Y. T., & Saraçoğlu, M. (2025) · KIRŞEHİR EĞİTİM FAKÜLTESİ DERGİSİ · doi:10.29299/kefad.1578928
Kubik, V., Matheis, S., Keller, L., Leichner, N., Weis, S., Lischetzke, T., & Scherrer, V. (2026) · Teaching and Teacher Education · doi:10.1016/j.tate.2026.105757
Al-Mu’ani, L., Mahrakani, N., Nusairat, N. M., & Zidan, A. (2025) · International Conference on Business Analytics for Technology and Security (ICBATS) · doi:10.1109/icbats66542.2025.11258396
“If a system seems easy to navigate and control, using it might feel more rewarding and pleasant [22].”
Additional file 1 of Clinical virtual simulation: predictors of user acceptance in nursing education
Padilha, J. M., Costa, P., Sousa, P., & Ferreira, A. C. E. (2024) · Figshare · doi:10.6084/m9.figshare.26694384
Fien, L., Neumann, P., Krebber, M., Berger, R., & Petzold, M. (2025) · Research Square · doi:10.21203/rs.3.rs-8165782/v1
Digital Learning Environments (Web-Based/Online)
Khine, M. S., & Koul, R. B. (2026) · Springer eBooks · doi:10.1007/978-981-95-4326-7_5
Lugongo, C. C., Mongi, H. J., & Ishengoma, F. (2026) · Quarterly review of distance education · doi:10.1108/qrde-07-2025-0010
Women micro-entrepreneurs in Oman: a study on digital technology adoption
Hoque, S. M. S., Osman, A. R., Mansor, N. N. A., Jalil, S. A., Brown, J., & Qatiti, K. A. (2026) · Journal of global entrepreneurship research · doi:10.1007/s40497-025-00481-0
“So , Davis et al. (1989b) argued that empirical research on the effect of external variables has been limited and according to Abdullah and Ward, (2016) self-efficacy believed to be the generally used external factor in the TAM.”
Reluctant to Ask a Human-ish Chatbot? When Anthropomorphic Cues Help and When They Backfire
Jeon, Y. A., Rau, D., Pickard, M. D., & Palese, B. (2026) · Marketing Education Review · doi:10.1080/10528008.2026.2623036
Erfolg von digitalen Produkten
Göcke, L., & Schultheiß, M. (2026) · Springer eBooks · doi:10.1007/978-3-658-49110-9_3
Dewantara, K. P., Rahayu, S., & Wicaksono, A. P. (2025) · JKTP Jurnal Kajian Teknologi Pendidikan · doi:10.17977/um038v8i42025p349-358
Zhang, Y., Gu, P., Zhang, M., Ma, Z., Zhang, Y., Chen, L., & Xu, F. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2633211
Liu, W., & Zhang, Y. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.106626
Magcuyao, J. P. H., Sabonsolin, J. A., Tejuco, H. J., & Almeniana, F. C. (2025) · International Conference on Artificial Intelligence and Teacher Education (ICAITE) · doi:10.1109/icaite68636.2025.11442388
“For example, the General Extended Technology Acceptance Model for e-Learning (GETAMEL), proposed by Abdullah and Ward (2016), includes factors such as social influence, facilitating conditions, and selfefficacy [3].”
Ören, T. Ş., & Ören, V. E. (2026) · Yuksekogretim Dergisi · doi:10.53478/yuksekogretim.1623662
Buist-Brink, P. N., Vacaru, S. V., & Sterkenburg, P. S. (2026) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2026.2653074
Blas, S. S., Riera, V. B., Buzova, D., & Fierro-Rubio, P. (2026) · European Journal of Innovation Management · doi:10.1108/ejim-05-2025-0677
Rudkowski, J., Robichaud, Z., Fares, O. H., & Aversa, J. M. (2026) · Journal of Marketing Education · doi:10.1177/02734753261430622
Chen, J. V., Watsuwan, S., & Gama, M. L. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2651344
Liao, K., Zou, D., He, S., Liu, E., & Li, K. (2026) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2026.2657392
Perceptions Before Practice: Student Attitudes Toward Online Learning EnvironmentsPreprint
Trivedi, A., & Dhira, S. I. (2026) · Qeios · doi:10.32388/g1kttv
Słowiński, G., Капранов, Я. В., & Iwanowska, B. (2026) · Sustainability · doi:10.3390/su18104633
Ursavaş, Ö. F., Gurcan, F., Durak, H., Yalçın, Y., & Soylu, A. (2026) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2026.101117
FACTORS INFLUENCING CHATGPT USAGE AMONG UNIVERSITY STUDENTS: AN EMPIRICAL STUDY IN GEORGIA
Kikoria, G. (2026) · Social Economics · doi:10.26565/2524-2547-2026-73-03
Agyei-Manu, K., & Speelman, S. (2026) · Agricultural Water Management · doi:10.1016/j.agwat.2026.110471
A framework for increasing the inclusion of older adults in virtual research methods
Weil, J. (2026) · Gerontology & Geriatrics Education · doi:10.1080/02701960.2026.2681600
Predicting the Use of Blog for Teaching English as a Foreign Language by Serbian Teachers
Milutinović, V., Teo, T. P., & Savić, V. M. (2026) · Journal of Psycholinguistic Research · doi:10.1007/s10936-026-10257-6
“Different meta-analyses and studies with teacher samples (Abdullah & Ward, 2016; Milutinović, 2025 ; Scherer et al., 2019; Teo & Milutinović, 2015 ) also reported positive effects of SN on both PEU and PU.”
InfluentialDuong, T. Q., & Nguyen, L. T. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.103037
Paradowski, M. B., & Jelińska, M. (2026) · De Gruyter eBooks · doi:10.1515/9783110988970-008
Literature Review: Analysing the Factors Affecting College Students’ Digital Language Tests
Zhang, J., & Razak, R. A. (2026) · Africa Education Review · doi:10.1080/18146627.2026.2659587
The impact of the shifting learning environment on students’ academic performance and employability
Wang, C. (2026) · Cogent Education · doi:10.1080/2331186x.2026.2683744
Modeling the adoption of AI-driven data visualization for service innovation in university libraries
Ahmad, K., Alhur, A., Azam, M., & Naeem, S. B. (2026) · Reference Services Review · doi:10.1108/rsr-11-2025-0099
Abdi, A. S., & Abdullahi, A. M. (2026) · Discover Computing · doi:10.1007/s10791-026-10276-w
“Its core constructs, perceived usefulness and perceived ease of use, are still relevant to GenAI adoption because students are more likely to use tools they deem valuable and manageable [38–46].”
Chen, H.-Y., & Chi, Y. (2026) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2026.101205
Kara, M., & Yurt, E. (2026) · Current Psychology · doi:10.1007/s12144-026-09795-y
“On the one hand, agreeableness has been linked to greater trust in AI-assisted interfaces (Böckle et al., 2021 ), a key antecedent of usage intention (Abdullah & Ward, 2016 ), and to more favorable general views of AI (Stein et al., 2024).”
Li, T., Liu, Z., & Zou, D. (2026) · PLoS ONE · doi:10.1371/journal.pone.0355494 · Cited by 1
“TAM has been extensively applied in educational technology research and remains a useful framework for examining students’ acceptance of digital learning tools [38,39,41,42].”
Panakaje, N., & Parvin, S. M. R. (2026) · Discover Education · doi:10.1007/s44217-026-01990-0
“While the model has been widely validated in educational settings [1, 56], its application has predominantly focused on explaining technology adoption rather than performance outcomes.”
InfluentialIlangovan, A., Govindarajan, P., Xavier, D. S., Nayeem, M. A., & Hoque, M. S. (2026) · Frontiers in Virtual Reality · doi:10.3389/frvir.2026.1907478
Parveen, K., Kumar, T., Alghamdi, A. A., & Shafiq, M. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2026.2696364
Gecolea, J. P., Gardones, M. J. C., Kara-An, C. A. A., Tolentino, G. C. L., & Bariring, G. G. (2026) · International Conference on Education and Training Technologies (ICETT) · doi:10.1109/icett70124.2026.11666305
“By facilitating collaboration, resource accessibility, and self-paced learning, regular platform usage positively correlates with academic attainment [15].”
Qi, X. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7388387
Songs in the Key of Accounting: Student Engagement, Mnemonic Accessibility, and Course PerformancePreprint
Sanders, M. G. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7434278
Tao, S., Zhang, H., & Liu, S. (2026) · Education Sciences · doi:10.3390/educsci16091526
Mathur, S., Kaushik, A., & Gulati, M. (2026) · International Conference Computational Vision and Bio Inspired Computing · doi:10.1109/iccvbic71195.2026.11688250
“The instrument for this study was carefully developed using constructs from selected validated instruments and comprises 30 items in total [7] [8] [21].”
Modelo integrado de factores cognitivos, motivacionales y afectivos del uso académico tecnológico
Villanueva, O. A. C., & Vera, K. J. C. (2026) · Telos Revista de Estudios Interdisciplinarios en Ciencias Sociales · doi:10.36390/telos283.30
“…su función consiste en complementar y reforzar las variables relacionadas con la cognición, lo que sugiere que el proceso de adopción tecnológica en educación superior responde a una lógica integradora más que a un reemplazo de dimensiones explicativas (Abdullah & Ward, 2016; Essel et al., 2022).”
Anonymous, Xu, W., Qi, Y., & Lu, D. (2026) · Physical Review Physics Education Research · doi:10.1103/62m6-lkh7
Uzaktan Eğitim Platformu Seçiminin Çok Kriterli Karar Verme Yöntemleri ile Değerlendirilmesi
Eren, A. (2026) · Yaşadıkça Eğitim · doi:10.33308/26674874.20264031156
“Bunların yanında kişisel normlar, algılanan eğlence, sistem erişilebilirliği, öz yeterlilik gibi niteliklerin uzaktan eğitim sistemlerinin kabulünü belirlemede etkin rolleri vardır (Abdullah & Ward, 2016; Cheng, 2011).”
Siam, M. T. H., & Tirno, R. R. (2026) · Management Matters · doi:10.1108/manm-07-2025-0042
Fang, Y.-S., Li, X.-Q., Mohtar, T., & Chekima, B. (2026) · SAGE Open · doi:10.1177/21582440261500240
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 ›
Are you an author, or do you see a problem with this page? Request a review