2022
DOI: 10.4018/jgim.294124
|View full text |Cite
|
Sign up to set email alerts
|

Citizen Adoption in E-Government Systems

Abstract: Electronic Government (e-Government) refers to a system of information, communication and interaction between government and its citizens. E-Government adoption has been studied for more than a decade with several meta-analytic studies being produced in that time. This study is differentiated from prior meta-analyses as it splits the empirical studies into pre-adoption and post-adoption studies to allow a clearer model of e-Government. We found different determinants and distinct models for pre- and post-adop… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 46 publications
0
3
0
Order By: Relevance
“…For instance, Ge (2008) found that the distribution of urban space gradually developed from a sporadic "dot" to a "belt," and then to a "net" in China over the past half-century, inevitably leading to higher education agglomeration (Ge, 2008). Li (2021) applied the multiple regression analysis methods and pointed out that the main reasons for the change in talent distribution included higher talent cultivation, urban development pattern, urbanization level of a nation, the wage level, and government policies (Almuraqab et al, 2021;Han et al, 2021;Jiang & Li, 2006;Li, 2021;Mutambik et al, 2021;Olesen et al, 2021;Talukder et al, 2020). Based on publicly available statistics from mainland China, Liu et al (2013) selected five indices: the number of universities, the average expenditure per student, the investment in education, the teacher-student ratio, and the number of students, and conducted an empirical study of the disequilibrium and polarization of university student cultivate institutions, capital investment, etc.…”
Section: Related Workmentioning
confidence: 99%
“…For instance, Ge (2008) found that the distribution of urban space gradually developed from a sporadic "dot" to a "belt," and then to a "net" in China over the past half-century, inevitably leading to higher education agglomeration (Ge, 2008). Li (2021) applied the multiple regression analysis methods and pointed out that the main reasons for the change in talent distribution included higher talent cultivation, urban development pattern, urbanization level of a nation, the wage level, and government policies (Almuraqab et al, 2021;Han et al, 2021;Jiang & Li, 2006;Li, 2021;Mutambik et al, 2021;Olesen et al, 2021;Talukder et al, 2020). Based on publicly available statistics from mainland China, Liu et al (2013) selected five indices: the number of universities, the average expenditure per student, the investment in education, the teacher-student ratio, and the number of students, and conducted an empirical study of the disequilibrium and polarization of university student cultivate institutions, capital investment, etc.…”
Section: Related Workmentioning
confidence: 99%
“…By conceptualising e-government citizen adoption into three stages, namely awareness, current use and future use, Zheng and Ma (2022) demonstrated that citizens' needs significantly affect their perceptions of government apps but not their current and future use. Olesen et al (2021) divided the empirical research into pre-adoption and postadoption and found through meta-analysis that use intention did not affect actual use while trust only had an impact before adoption. Annis et al (2021) found that digital literacy is an AJIM 75,6 important factor affecting the adoption of urban applications by means of focus groups and that citizens' trust in mobile government is affected by the trust in technology, the government's trust in handling technology and the overall trust in government.…”
Section: E-government Citizen Adoptionmentioning
confidence: 99%
“…By conceptualising e-government citizen adoption into three stages, namely awareness, current use and future use, Zheng and Ma (2022) demonstrated that citizens' needs significantly affect their perceptions of government apps but not their current and future use. Olesen et al. (2021) divided the empirical research into pre-adoption and post-adoption and found through meta-analysis that use intention did not affect actual use while trust only had an impact before adoption.…”
Section: Literature Reviewmentioning
confidence: 99%