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Developing a Generic Framework for E-Government

Grant, Gerald, Chau, Derek·2005·Journal of Global Information Management

Abstract

Electronic government (e-government) initiatives are pervasive and form a significant part of government investment portfolio in almost all countries around the world. However, understanding of what is meant by e-government is still nascent and becomes complicated because the construct means different things to different people. Consequently, the conceptualization and implementation of e-government programs are diverse and are often difficult to assess and compare across different contexts of application. This paper addresses the following key question: Given the wide variety of visions, strategic agendas, and contexts of application, how may we assess, categorize, classify, compare, and discuss the e-government efforts of various government administrations? In answering this question, we propose a generic e-government framework that will allow for the identification of e-government strategic agendas and key application initiatives that transcend country-specific requirements. In developing the framework, a number of requirements are first outlined. The framework is proposed and described; it is then illustrated using brief case studies from three countries. Finally, findings and limitations are discussed.

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Metadata

Authors
Grant, G., & Chau, D.
Venue
Journal of Global Information Management
Publisher
IGI Global
Published
2005-01-01
Volume
13
Issue
1
Pages
1-30
ISSN
  • 1062-7375 (ISSN-L)
  • 1533-7995
OpenAlex
W2084937952
Cited by
283
References
0
FWCI
100.91
Type
journal article
Language
ng
Open access
closed

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CoChat. (2026). Citation check: Developing a Generic Framework for E-Government. https://app.cochat.ai/papers/10.4018/jgim.2005010101
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Grant, G., & Chau, D. (2005). Developing a Generic Framework for E-Government. Journal of Global Information Management. https://doi.org/10.4018/jgim.2005010101

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.