Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 334

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

The Effects of Perceived Usefulness and Perceived Ease of Use on Continuance Intention to Use E-Government

Open access
Hamid, Adnan Abd., Razak, Fahmi Zaidi Abdul, Bakar, Azlina Abu, Abdullah, Wan Salihin Wong·2016·Procedia Economics and Finance

Abstract

E-government can offer improved quality of information supply and fewer administrative burdens. Despite significant benefits in e-government systems, the extent to which citizens have been able to assimilate these systems is still unclear. This study analyzed the relationships between predictor's variable (perceived usefulness and perceived ease of use) and criterion variable which is continuance intention to use e-government. A total of 543 government servant who taught in Malaysian public schools completed the questionnaire and became the participants of this study. To answer the research questions, multiple regression analysis was applied. The results indicate that perceived usefulness (β = 0.65, p < 0.01) and perceived ease of use (β = 0.14, p < 0.05) were positively related to continuance intention to use e-government and able to explain a total of 56% variance.

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 · 10.1016/s2212-5671(16)00079-4

Cites

4 of 4 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 4 references

Cited by

Metadata

Authors
Hamid, A. A., Razak, F. Z. A., Bakar, A. A., & Abdullah, W. S. W.
Venue
Procedia Economics and Finance
Publisher
Elsevier BV
Published
2016
Volume
35
Pages
644-649
ISSN
2212-5671 (ISSN-L)
OpenAlex
W2292696949
Cited by
334
References
4
FWCI
94.92
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

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.