Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,078

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

An Empirical Assessment of a Modified Technology Acceptance Model

Chau, Patrick Y.K.·1996·Journal of Management Information Systems

Abstract

:The technology acceptance model (TAM) is one of the most influential research models in studies of the determinants of information systems/information technology (IS/IT) acceptance. In TAM, perceived usefulness and perceived ease of use are hypothesized and empirically supported as fundamental determinants of user acceptance of a given IS/IT. A review of the IS and psychology literature, however, suggests that perceived usefulness can be of two distinct types: near-term usefulness and long-term usefulness. This paper reviews the concept of perceived usefulness and modifies TAM to include the two types of perceived usefulness. Data collected from nearly 285 administrative/clerical staff in a large organization were tested against the modified model using the structural equation modeling approach. The results of the study showed that, even though perceived near-term usefulness had the most significant influence on the behavioral intention to use a technology, perceived long-term usefulness also exerted a positive, though lesser, impact. No significant, direct relationship was found between ease of use and behavioral intention to use a technology. Implications of the findings and future research areas are discussed.

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 · 10.1080/07421222.1996.11518128

Cites

7 of 7 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

Cited by

See all 1,078

Metadata

Authors
Chau, P. Y. K.
Venue
Journal of Management Information Systems
Published
1996-09
Volume
13
Issue
2
Pages
185-204
ISSN
  • 0742-1222 (ISSN-L)
  • 1557-928X
OpenAlex
W1584824347
Cited by
1,078
References
7
FWCI
9.95
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

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.