The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Factors influencing teachers’ intention to use technology: Model development and test
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“teachers who believe that using technology would enhance their job performance (i.e., perceived usefulness; Teo, 2011) put more emphasis on developing their students' ICT literacy.”
From Taking a future perspective by learning from the past – A systematic review of assessment instruments that aim to measure primary and secondary school students' ICT literacy (2016) · cites this paper as Teo, 2011
In the citing paper
“This model aims to identify the level of teachers' acceptance of ICT and hence predict to what extent they are prepared to teach with ICT.”
From Taking a future perspective by learning from the past – A systematic review of assessment instruments that aim to measure primary and secondary school students' ICT literacy (2016) · cites this paper as Teo, 2011
In the citing paper
“While perceived usefulness plays a crucial role in providing functional advantages, perceived enjoyment is equally vital for its emotional benefits, as outlined by Teo [33].”
From ChatGPT in Learning: Assessing Students’ Use Intentions through the Lens of Perceived Value and the Influence of AI Literacy (2024) · cites this paper as [33]
In the citing paper
“These findings emphasize that AI adoption is not merely a personal decision, but one shaped by interpersonal trust networks and institutional enablers, aligning with Teo (2011) [73], Zhao & Frank (2003) [74].”
From From Perception to Practice: Artificial Intelligence as a Pathway to Enhancing Digital Literacy in Higher Education Teaching (2025) · cites this paper as Teo (2011) [73]
Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
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Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
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
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
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
Principles and Practice of Structural Equation Modeling
Tabri, N., & Elliott, C. M. (2012) · Canadian Graduate Journal of Sociology and Criminology · doi:10.15353/cgjsc.v1i1.3787 · Cited by 39,094
Statistical Power Analysis for the Behavioral Sciences (2nd ed.).
Lachenbruch, P. A., & Cohen, J. (1989) · Journal of the American Statistical Association · doi:10.2307/2290095 · Cited by 37,421
Flagged first, then by citations
Cited by
Sorted by citations
The unified theory of acceptance and use of technology (UTAUT): a literature review
Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015) · Journal of Enterprise Information Management · doi:10.1108/jeim-09-2014-0088 · Cited by 1,339
“…opinion Carter and Schaupp (2009), Chan et al. (2010), Chiu et al. (2010), Chiu and Wang (2008), Sahu and Gupta (2007), Schaupp et al. (2010), Teo (2011) No moderating variables 6 No moderating variables used Al-Sobhi et al. (2011), Chen et al. (2008), Huser et al. (2010), Loo et al. (2009),…”
BackgroundInfluentialRaza, S. A., Qazi, W., Khan, K. A., & Salam, J. (2021) · Journal of Educational Computing Research · doi:10.1177/0735633120960421 · Cited by 510
“According to Teo (2011), technology acceptance is the willingness of an individual to adopt the use of technology for facilitating task performance based on the support it was designed to provide.”
BackgroundElkaseh, A., Wong, K. W., & Fung, C. C. (2015) · International Journal of Information and Education Technology · doi:10.7763/ijiet.2016.v6.683 · Cited by 335
Pan, X. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.564294 · Cited by 329
“Using this theory and analysis method, later in the educational landscape, there were studies that verified and explained the intention of students’ technology use (Teo, 2011) and the research of students’ independent use of technology for language learning (Lai, 2013), etc.”
BackgroundMethodResultInfluentialUnpacking teachers’ intentions to integrate technology: A meta-analysis
Scherer, R., & Teo, T. P. (2019) · Educational Research Review · doi:10.1016/j.edurev.2019.03.001 · Cited by 399
Self-citation
Metadata
- Authors
- Teo, T.
- Affiliations
- Nanyang Technological University (SG)
- Corresponding author
- Teo, Timothy
- ORCID
- Teo, Timothy
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 57
- Issue
- 4
- Pages
- 2432-2440
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2064430399
- Cited by
- 914
- References
- 54
- Citations by year
- 2026: 180 · 2025: 116 · 2024: 81 · 2023: 62 · 2022: 71 · 2021: 64 · 2020: 54 · 2019: 60 · 2018: 41 · 2017: 36 · 2016: 41 · 2015: 50 · 2014: 34 · 2013: 15 · 2012: 8
- FWCI
- 43.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Education (publishedVersion)
- Murdoch University Research Portal (submittedVersion)
- ResearchSpace (University of Auckland) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Education and Technology Integration
- Social Sciences › Education › Technology-Enhanced Education Studies
- Keywords
- technology integration in teaching, perceived usefulness, perceived ease of use, subjective norms, facilitating conditions, technology acceptance model, teacher technology use
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.
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