To read this content please select one of the options below:

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

Qijun Xie (School of Public Affairs, University of Science and Technology of China, Hefei, China)
Wei Song (School of Public Affairs, University of Science and Technology of China, Hefei, China)
Xiaobao Peng (School of Public Affairs, University of Science and Technology of China, Hefei, China)
Muhammad Shabbir (University of Management Sciences and Information Technology, Kotli, Pakistan)

The Electronic Library

ISSN: 0264-0473

Article publication date: 6 February 2017

3277

Abstract

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.

Keywords

Acknowledgements

The authors would like to thank the editor (Jiangping Chen) and three anonymous referees for their valuable comments and suggestions, which led to significant improvements in the paper. The authors would also like to thank Yanting Zhu and Xue Zhang for their advice. This work was supported by the National Natural Science Foundation of China under Grant No. 71202054, the Natural Science Foundation of Anhui under Grant No. 1508085QG143.

Citation

Xie, Q., Song, W., Peng, X. and Shabbir, M. (2017), "Predictors for e-government adoption: integrating TAM, TPB, trust and perceived risk", The Electronic Library, Vol. 35 No. 1, pp. 2-20. https://doi.org/10.1108/EL-08-2015-0141

Publisher

:

Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

Related articles