Citizens' Intention to Use E-Government Services in Local Government by Integrating UTAUT, TPB, and TAM Model

In contemporary society, the widespread adoption of information and communication technologies has become integral to meeting daily needs. E-Government leverages these technologies to deliver efficient and secure services to citizens, particularly at the local government level. However, existing literature lacks comprehensive exploration into citizen preferences for utilizing e-government services, especially those offered by local governments. Addressing this gap, this study investigates citizen intentions to use e-government, focusing on the application system provided by local governments. Our research framework integrates three established models (UTAUT, TAM, and TPB) and employs empirical validation through a structured questionnaire. Data collection involved 97 respondents from diverse cities/regencies. Rigorous reliability and validity assessments were conducted on the questionnaire, with analysis performed using structural equation modeling (SEM). The findings underscore the significant influence of citizens' attitudes toward e-government, shaped by factors such as effort expectancy, facilitating conditions, and perceived risk. Furthermore, a positive and significant relationship between attitude and Intention to use revealed. This research contributes to a deeper understanding of citizen behavior towards e-government services, offering insights crucial for enhancing service delivery and citizen engagement at the local level.

Authors

Institutions

Publication Details

Journal
Journal of Local Government Issues
Published
2024-09-27
DOI
https://doi.org/10.22219/logos.v7i2.32437
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Citizens' Intention to Use E-Government Services in Local Government by Integrating UTAUT, TPB, and TAM Model

Ahmad Luthfi, Muslimin Wallang, Hildawati Hildawati, Dedy Afrizal et al.
Journal of Local Government Issues
Technology Adoption and User Behaviour
article

Citizens' Intention to Use E-Government Services in Local Government by Integrating UTAUT, TPB, and TAM Model

Ahmad Luthfi, Muslimin Wallang, Hildawati Hildawati, Dedy Afrizal, Kittipan Ekareesakul
article en

Abstract

In contemporary society, the widespread adoption of information and communication technologies has become integral to meeting daily needs. E-Government leverages these technologies to deliver efficient and secure services to citizens, particularly at the local government level. However, existing literature lacks comprehensive exploration into citizen preferences for utilizing e-government services, especially those offered by local governments. Addressing this gap, this study investigates citizen intentions to use e-government, focusing on the application system provided by local governments. Our research framework integrates three established models (UTAUT, TAM, and TPB) and employs empirical validation through a structured questionnaire. Data collection involved 97 respondents from diverse cities/regencies. Rigorous reliability and validity assessments were conducted on the questionnaire, with analysis performed using structural equation modeling (SEM). The findings underscore the significant influence of citizens' attitudes toward e-government, shaped by factors such as effort expectancy, facilitating conditions, and perceived risk. Furthermore, a positive and significant relationship between attitude and Intention to use revealed. This research contributes to a deeper understanding of citizen behavior towards e-government services, offering insights crucial for enhancing service delivery and citizen engagement at the local level.

Journal of Local Government IssuesVol. 7(2)
Prince of Songkla University (TH), State University of Semarang (ID), Government of Malaysia (MY), Universitas Merdeka Malang (ID), Universitas Lancang Kuning (ID), Northern University of Malaysia (MY)
Openalex Percentile: Top 81%
Technology Adoption and User Behaviour
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.