Predictors for e-government adoption: integrating TAM, TPB, trust and perceived risk

Purpose The present research aims to identify determinants for citizen’ behavioural adoption of e-government, explore relationships among these variables and investigate whether the proposed model can provide a more comprehensive manner to understand the adoption of e-government. Design/methodology/...

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Bibliographic Details
Published in:Electronic library Vol. 35; no. 1; pp. 2 - 20
Main Authors: Xie, Qijun, Song, Wei, Peng, Xiaobao, Shabbir, Muhammad
Format: Journal Article
Language:English
Published: Oxford Emerald Publishing Limited 01.01.2017
Emerald Group Publishing Limited
Subjects:
Balances (scales)
Confirmatory factor analysis
Cronbach's alpha
Determinants
Electronic government
Environmental Influences
Factor analysis
Government
Government (Administrative Body)
Intention
Internet
Internet in public administration
Locus of control
Manufacturing Industry
Measurement
Military withdrawals
Norms
Perceived control
Prime ministers
Propaganda
Public administration
Public opinion
Public services
Risk factors
Risk perception
Self Efficacy
Social Influences
Social norms
Structural equation modeling
Studies
Websites
China
Perceived risk
Technology acceptance model
e-Government
Trust
Theory of planned behaviour
ISSN:0264-0473, 1758-616X, 1758-616X
Online Access:Get full text
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Summary:Purpose The present research aims to identify determinants for citizen’ behavioural adoption of e-government, explore relationships among these variables and investigate whether the proposed model can provide a more comprehensive manner to understand the adoption of e-government. Design/methodology/approach First, a survey is administered to collect data, then the Cronbach’s alpha is assessed for internal consistency of measurement scales; second, confirmatory factor analysis is conducted to evaluate the measurement model; finally, a structural equation model is used to test the proposed hypotheses and explore the determinants of e-government adoption. Findings Results indicate that the proposed model is a stable model with powerful explanatory of variation. In addition, some new relationships in the e-government context are found, whose disposition to trust has positive effect on social norms, whereas perceived risk negatively influences perceived behaviour control. Moreover, other key dominants have been investigated. Originality/value The findings have enabled us to better understand factors affecting intention and also provided a solid theoretical research model for future study.
Bibliography:Includes appendix, illustrations, references, tables
Includes links to related electronic resources
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0264-0473
1758-616X
1758-616X
DOI:10.1108/EL-08-2015-0141