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Cited by 367

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

E-Government and Anti-Corruption: Empirical Analysis of International Data

Shim, Dong Chul, Eom, Tae Ho·2008·International Journal of Public Administration

Abstract

Case studies demonstrate that e-government is an effective tool to reduce corruption by promoting good governance and strengthening reform-oriented actors. Specifically, e-government can reduce corrupt behaviors externally by enhancing relationships with citizens and internally by more effectively controlling and monitoring employees' behaviors. This study examines the impact of e-government on corruption using national level data. The impacts of other traditional factors—bureaucratic professionalism, bureaucratic quality, and law enforcement—proposed by the public administration literature are also examined. Statistical analysis reveals that e-government has a consistently positive impact on reducing corruption, as do the traditional anti-corruption factors.

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Metadata

Authors
Shim, D. C., & Eom, T. H.
Venue
International Journal of Public Administration
Published
2008-02
Volume
31
Issue
3
Pages
298-316
ISSN
  • 0190-0692 (ISSN-L)
  • 1532-4265
OpenAlex
W2162526656
Cited by
367
References
17
FWCI
40.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: E-Government and Anti-Corruption: Empirical Analysis of International Data. https://app.cochat.ai/papers/10.1080/01900690701590553
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Shim, D. C., & Eom, T. H. (2008). E-Government and Anti-Corruption: Empirical Analysis of International Data. International Journal of Public Administration. https://doi.org/10.1080/01900690701590553

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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.