Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 260

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

User acceptance of mobile internet based on the Unified Theory of Acceptance and Use of Technology: Investigating the determinants and gender differences

Open access
Wang, Hsiu-Yuan, Wang, Shwu-Huey·2010·Social Behavior and Personality: an international journal

Abstract

Based on the Unified Theory of Acceptance and Use of Technology Model (UTAUT; Venkatesh, Morris, Davis, & Davis, 2003), the purpose of this study was to investigate the determinants of mobile Internet (m-Internet) acceptance and to understand whether or not there are gender differences in the acceptance of m-Internet. Data collected online from 343 respondents in Taiwan were tested against the research model, using the structural equation modeling approach. The proposed model was mostly supported by the empirical data. The findings of this study provide several crucial implications for m-Internet service practitioners and researchers.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2224/sbp.2010.38.3.415

Cites

8 of 8 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 8 references

Cited by

See all 260

Metadata

Authors
Wang, H.-Y., & Wang, S.-H.
Venue
Social Behavior and Personality: an international journal
Published
2010-04-01
Volume
38
Issue
3
Pages
415-426
ISSN
0301-2212 (ISSN-L)
OpenAlex
W2150994231
Cited by
260
References
8
FWCI
22.64
Type
journal article
Language
en
Open access
diamond

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: User acceptance of mobile internet based on the Unified Theory of Acceptance and Use of Technology: Investigating the determinants and gender differences. https://app.cochat.ai/papers/10.2224/sbp.2010.38.3.415
The paper
Wang, H.-Y., & Wang, S.-H. (2010). User acceptance of mobile internet based on the Unified Theory of Acceptance and Use of Technology: Investigating the determinants and gender differences. Social Behavior and Personality: an international journal. https://doi.org/10.2224/sbp.2010.38.3.415

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.