The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Technology acceptance model for wireless Internet
Abstract
Wireless Internet via mobile devices (WIMD) is leading the world into another spectrum of communications and means of conducting day‐to‐day business and life activities. Full bloom of wireless Internet services depends on user acceptance, as well as technology improvement. This paper develops a technology acceptance model for wireless Internet via mobile devices (TAM for wireless Internet), a conceptual framework to explain the factors influencing user acceptance of WIMD. By revising the technology acceptance model (TAM) to represent some unique features of the wireless system under study, TAM for wireless Internet proposes that constructs such as individual differences, technology complexity, facilitating conditions, social influences, and wireless trust environment determine user‐perceived short and long‐term usefulness, and ease of using WIMD. These, in turn, determine user intention and willingness to adopt WIMD. Twelve propositions are developed to promote and facilitate future empirical research relating to WIMD.
Overview
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.
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
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
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · An Integrated Approach to Communication Theory and Research · doi:10.4324/9780203710753-35 · Cited by 37,322
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
(1980) · Medical Entomology and Zoology · Cited by 25,810
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
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Cited by
Technology acceptance model: a literature review from 1986 to 2013
Marangunić, N., & Granić, A. (2015) · Universal Access in the Information Society · doi:10.1007/s10209-014-0348-1 · Cited by 2,458
Consumer acceptance of online banking: an extension of the technology acceptance model
Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004) · Internet Research · doi:10.1108/10662240410542652 · Cited by 1,772
Technology acceptance model in educational context: A systematic literature review
Granić, A., & Marangunić, N. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12864 · Cited by 1,204
Modelling technology acceptance in education: A study of pre-service teachers
Teo, T. (2009) · Computers & Education · doi:10.1016/j.compedu.2008.08.006 · Cited by 1,009
Lee, C., & Coughlin, J. F. (2015) · Journal of Product Innovation Management · doi:10.1111/jpim.12176 · Cited by 771
Metadata
- Authors
- Lu, J., Yu, C., Liu, C., & Yao, J. E.
- Venue
- Internet Research
- Publisher
- Emerald
- Published
- 2003-08-01
- Volume
- 13
- Issue
- 3
- Pages
- 206-222
- ISSN
- 1066-2243 (ISSN-L)
- OpenAlex
- W2091502773
- Cited by
- 991
- References
- 67
- FWCI
- 39.69
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Technology acceptance model for wireless Internet. https://app.cochat.ai/papers/10.1108/10662240310478222
- The paper
- Lu, J., Yu, C., Liu, C., & Yao, J. E. (2003). Technology acceptance model for wireless Internet. Internet Research. https://doi.org/10.1108/10662240310478222
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.