Spelling suggestions: "subject:"citizen adoption"" "subject:"itizen adoption""
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A meta-analysis of existing research on citizen adoption of e-governmentRana, Nripendra P., Dwivedi, Y.K., Williams, M.D. 25 September 2020 (has links)
Yes / The purpose of this paper is to perform a weight-analysis and to undertake a meta-analysis of findings reported in published research on the adoption and diffusion of e-government. Usable data relating to e-government adoption research were collected from 103 empirical studies. Of those 103 articles, only 63 used a range of different constructs with appropriate correlation values required for performing a weight- and meta-analysis. Diagrammatic representation has been presented using significant as well as non-significant relationships from all 103 publications. A broader analysis of research on adoption and diffusion of e-government also reflects that although a large number of theories and theoretical constructs were borrowed from the reference disciplines, their utilization by e-government researchers appears to be largely random in approach. This paper also acknowledges the theoretical contribution, the limitations of this study, and suggests further research directions for the continued work.
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E-government Adoption Model Based On Theory Of Planned Behavior: Empirical InvestigationKanat, Irfan Emrah 01 July 2009 (has links) (PDF)
The e-government phenomena has become more important with the ever increasing number of implementations world wide. A model explaining the e-government adoption and the related measurement instrument a survey had been developed and validated in this study. In a post technology acceptance model (TAM) approach, theory of planned behavior (TPB) was extended to t the requirements of e-government context. The
adoption of student loans service of the higher education student loans and accommodation association (KYK) was investigated to obtain data for empirical validation. The
instrument was administered to over four-hundred students and partial least squares path modeling was employed to analyze the data. The results indicate that the model was an improvement over TAM in terms of predictive power. The constructs investigated in the study successfully explained the intention to use an e-government service.
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