The DOI matches its Crossref record.
Developing a Generic Framework for E-Government
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Adoption of ICT in a government organization in a developing country: An empirical study
Gupta, B., Dasgupta, S., & Gupta, A. (2008) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2007.12.004 · Cited by 579
Kumar, R., & Best, M. L. (2006) · The Information Society · doi:10.1080/01972240500388149 · Cited by 299
Tassabehji, R., Hackney, R., & Popovič, A. (2016) · Government Information Quarterly · doi:10.1016/j.giq.2016.04.003 · Cited by 103
(2006) · Cited by 34
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Developing a Generic Framework for E-Government. https://app.cochat.ai/papers/10.4018/jgim.2005010101
- The paper
- Grant, G., & Chau, D. (2005). Developing a Generic Framework for E-Government. Journal of Global Information Management. https://doi.org/10.4018/jgim.2005010101
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.