The Electronic Journal of e-Government aims to publish perspectives on topics relevant to the study, implementation and management of e-Government
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Journal Article

Understanding Citizen's Continuance Intention to Use e‑Government Website: a Composite View of Technology Acceptance Model and Computer Self‑Efficacy  pp55-64

Sivaporn Wangpipatwong, Wichian Chutimaskul, Borworn Papasratorn

© Apr 2008 Volume 6 Issue 1, Editor: Frank Bannister, pp1 - 64

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Abstract

This study aims to understand the fundamental factors influencing the citizen's continuance intention to use e‑ Government websites by using the Technology Acceptance Model (TAM) as a based theoretical model. Computer self‑ efficacy is adopted as an additional factor that influences the citizen's continuance intention to use e‑Government websites. To empirically test the proposed research model, the web‑based survey was employed. The participants consisted of 614 country‑wide citizens with at least a bachelor's degree and an experience with e‑Government websites. Regression analysis was conducted to test the model. The results revealed that perceived usefulness and perceived ease of use of e‑Government websites and citizen's computer self‑efficacy directly enhanced citizen's continuance intention to use e‑Government websites. In addition, perceived ease of use of e‑Government websites indirectly enhanced citizen's continuance intention through perceived usefulness.

 

Keywords: e-Government, technology acceptance model, computer self-efficacy, continuance intention

 

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Journal Article

Factors Influencing Government Employee Performance via Information Systems Use: an Empirical Study  pp227-240

Pin Luarn, Kuo-Liang Huang

© Jan 2009 Volume 7 Issue 3, Editor: Frank Bannister, pp209 - 294

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Abstract

Based on the task‑to‑performance chain, this study seeks to investigate the implications and consequences of government employee performance via information systems. Data was collected from 847 employees of the Taipei City government through the stratified proportion sampling method. In addition, the multiple regression method is used to investigate factors that influence employee performance. The results indicate that three factors affect performance: task‑technology fit, computer self‑efficacy, and utilization. Utilization was found to have the greatest positive effect on performance. In addition to verifying prior empirical findings, this study presents factors that influence employee performance and information systems development work in the context of e‑government.

 

Keywords: task-to-performance chain, task-technology fit, computer self-efficacy, performance, e-government

 

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Journal Issue

Volume 6 Issue 1 / May 2008  pp1‑64

Editor: Frank Bannister

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Keywords: business process modeling, citizen participation, computer self-efficacy, continuance intention, customer orientation, e-democracy, e-government, electronic government, evaluation, IT project management, legal design, legal visualization, municipal managers, national culture, public value, recommendation, social value, stages of e-government evolution, technology acceptance model, trust, Web Measure Index

 

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