E-Government Services Adoption: An Extension of the Unified Model of Electronic Government Adoption
Year: 2020
Type: article
Study design: Observational Study
Abstract: This study proposed and validated an extension of the unified model of electronic government adoption (UMEGA). The data analysis was conducted with a structural equation modeling technique using Smart PLS 3.0. The results have demonstrated contrary to expectations that performance expectancy, effort expectancy, and social influence do not predict the attitude toward the use of e-government services. Facilitating conditions, however, were found to significantly determine both the behavioral intention to use and effort expectancy of e-government services. Also, perceived service quality and trust in government were found to positively predict, respectively, the intention to use and recommend the adoption of e-government services. The implications of these and other result findings of this study are thoroughly interrogated.
Source: SAGE Open
Authors: Isaac Kofi Mensah, Guohua Zeng, Chuanyong Luo
Language: English
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $800
OpenAlex ID: W3034426053