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AuthorAbu-Shanab, Emad
Available date2020-07-16T20:11:04Z
Publication Date2019-03-29
Publication NameElectronic Government
ResourceScopus
CitationAbu-Shanab, E. (2019). Predicting trust in e-government: two competing models. Electronic Government, an International Journal, 15(2), 129-143.
ISSN1740-7494
URIhttp://dx.doi.org/10.1504/EG.2019.098669
URIhttp://hdl.handle.net/10576/15255
AbstractThe efficiency of public sector in addressing e-government requirements depends on the number of constructs they focus on. The adoption process depends on many factors that governments cannot handle in an efficient fashion. This study focuses on two models to predict the level of trust in e-government, the personal model and the technical model. The personal model included social influence, internet experience, and ease of use as predictor variables. The technical model included perceived usefulness, security and privacy concerns, and information quality as predictor variables. Both models used trust in e-government as their dependent variable. Both models include variables previously proposed by research, but never been compared in this context. A sample of 690 surveys were analysed to test our proposed models. Results supported both models, but yielded stronger prediction by the technical model.
Languageen
PublisherInderscience Enterprises Ltd.
SubjectCompeting models
E-government
Ease of use
Experience
Information quality
Privacy
Security
Social influence
Trust
Usefulness
TitlePredicting trust in e-government: Two competing models
TypeArticle
Pagination129-143
Issue Number2
Volume Number15
ESSN1740-7508
dc.accessType Abstract Only


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