scholarly journals The Influence of Social Context and Targeted Communication on e-Government Service Adoption

2013 ◽  
pp. 298-309 ◽  
Author(s):  
Michael Räckers ◽  
Sara Hofmann ◽  
Jörg Becker
Keyword(s):  
Social Context ◽  
Government Service ◽  
Service Adoption

A two-stage structural equation modeling-neural network approach for understanding and predicting the determinants of m-government service adoption

2019 ◽  
Vol 21 (4) ◽  
pp. 419-438 ◽  
Author(s):  
Shamim Talukder ◽  
Raymond Chiong ◽  
Sandeep Dhakal ◽  
Golam Sorwar ◽  
Yukun Bao
Keyword(s):  
Neural Network ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Government Service ◽  
Content Type ◽  
Service Adoption ◽  
Government Services ◽  
Performance Expectancy ◽  
And Performance

Purpose Despite the widespread use of mobile government (m-government) services in developed countries, the adoption and acceptance of m-government services among citizens in developing countries is relatively low. The purpose of this study is to explore the most critical determinants of acceptance and use of m-government services in a developing country context. Design/methodology/approach The unified theory of acceptance and use of technology (UTAUT) extended with perceived mobility and mobile communication services (MCS) was used as the theoretical framework. Data was collected from 216 m-government users across Bangladesh and analyzed in two stages. First, structural equation modeling (SEM) was used to identify significant determinants affecting users' acceptance of m-government services. In the second stage, a neural network model was used to validate SEM results and determine the relative importance of the determinants of acceptance of m-government services. Findings The results show that facilitating conditions and performance expectancy are the two important precedents of behavioral intention to use m-government services, and performance expectancy mediates the relationship between MCS, mobility and the intention to use m-government services. Research limitations/implications Academically, this study extended and validated the underlying concept of UTAUT to capture the adoption behavior of individuals in a different cultural context. In particular, MCS might be the most critical antecedent towards mobile application studies. From a practical perspective, this study may provide valuable guidelines to government policymakers and system developers towards the development and effective implementation of m-government systems. Originality/value This study has contributed to the existing, but limited, literature on m-government service adoption in the context of a developing country. The predictive modeling approach is an innovative approach in the field of technology adoption.

scholarly journals An Empirical Study of Perception of the End-User on the Acceptance of Smart Government Service in UAE

2021 ◽  
Vol 29 (6) ◽  
pp. 0-0
Keyword(s):  
Structural Equation ◽  
Service Use ◽  
Group Analysis ◽  
End Users ◽  
Electronic Government ◽  
Government Service ◽  
Service Adoption ◽  
Moderation Effects ◽  
The Relationship ◽  
Smart Government

The end-users’ acceptance of electronic government applications is crucial for the effective delivery of public services. This study intends to investigate the factors that influence the end-users' acceptance of smart-government services.This paper identifies key determinants of the end-users’ acceptance of smart government services in the UAE to develop a theoretical model which is tested empirically, using the partial least squares structural equation modelling. This study examines the relationship among the factors that influence the adoption of smart government applications, along with the moderation effects of gender, age, and experience of the end-users on this linkage. The paper reveals that performance expectancy is the strongest factor influencing adoption of smart government, followed by trust in government, effort expectancy, and social influence. The Multi Group Analysis is used to test the moderation effects of the gender, age, and smart service use experience of the end-users on the relationship between the factors that influence smart-government service adoption.

scholarly journals Online Tax Filing—E-Government Service Adoption Case of Vietnam

2016 ◽  
Vol 07 (12) ◽  
pp. 1498-1504 ◽  
Author(s):  
Ngoc Long Lu ◽  
Van Trung Nguyen
Keyword(s):  
Government Service ◽  
Service Adoption ◽  
Tax Filing

scholarly journals A empirical study of perception of the end-user on the acceptance of smart government service in UAE

2021 ◽  
Vol 29 (6) ◽  
pp. 0-0
Keyword(s):  
Structural Equation ◽  
Service Use ◽  
Group Analysis ◽  
End Users ◽  
Electronic Government ◽  
Government Service ◽  
Service Adoption ◽  
Moderation Effects ◽  
The Relationship ◽  
Smart Government

The end-users’ acceptance of electronic government applications is crucial for the effective delivery of public services. This study intends to investigate the factors that influence the end-users' acceptance of smart-government services.This paper identifies key determinants of the end-users’ acceptance of smart government services in the UAE to develop a theoretical model which is tested empirically, using the partial least squares structural equation modelling. This study examines the relationship among the factors that influence the adoption of smart government applications, along with the moderation effects of gender, age, and experience of the end-users on this linkage. The paper reveals that performance expectancy is the strongest factor influencing adoption of smart government, followed by trust in government, effort expectancy, and social influence. The Multi Group Analysis is used to test the moderation effects of the gender, age, and smart service use experience of the end-users on the relationship between the factors that influence smart-government service adoption.

scholarly journals E-GOVERNMENT SERVICE ADOPTION THROUGH THE LENS OF THE KNOWLEDGE GAP

2021 ◽  
Vol 9 (1) ◽  
pp. 176-197
Author(s):  
Mihály Csótó
Keyword(s):  
Public Administration ◽  
Knowledge Gap ◽  
Opinion Survey ◽  
Government Service ◽  
Service Adoption ◽  
Knowledge Based ◽  
Good State ◽  
Ict Tools ◽  
Using Data ◽  
Channel Preferences

The aim of the paper is to raise some issues in relation to the technology adoption-based e-government acceptance models and that the knowledge gap theory can  be applied to the use of online public administration services: higher status equals not only wider and more sophisticated usage of ICT tools, but also more  knowledge about public administration procedures themselves, which can result in various channel-preferences and routines among the users of different public services. Using data from the multivariable Good State Public Administration  Opinion Survey, the paper shows that the knowledge gap clearly exists in terms of  public administration-related knowledge. Based on this finding, the paper  recommends that the currently marginally used ‘necessary knowledge about  public administration procedures’ factor should be more widely incorporated in e- government adoption models, as it can have a significant effect on adoption, or alter the effect of other constructs in these models. 

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