Predicting trust in e-government: two competing models
by Emad Abu-Shanab
Electronic Government, an International Journal (EG), Vol. 15, No. 2, 2019

Abstract: The 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.

Online publication date: Fri, 29-Mar-2019

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