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Cited by 694

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The shape of eParticipation: Characterizing an emerging research area

Open access
Sæbø, Øystein, Rose, Jeremy, Skiftenes Flak, Leif·2008·Government Information Quarterly

Abstract

Abstract The phenomenon of eParticipation is receiving increasing attention, demonstrated by recent technology implementations, experiments, government reports, and research programs. Understanding such an emerging field is a complex endeavor because there is no generally agreed upon definition of the field, no clear overview of the research disciplines or methods it draws upon, and because the boundaries of the field are undecided. Using conventional literature review techniques, we identify 131 scientific articles considered important for the field's theoretical development. This sample provides the starting point for a grounded analysis leading to the development of an overview model: the field of eParticipation seen from a researcher's perspective. The model provides structure for understanding the emerging shape of the field as well as an initial indication of its content. It also provides the basis for developing research agendas for the future.

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Registry

Crossref · 10.1016/j.giq.2007.04.007

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Metadata

Authors
Sæbø, Ø., Rose, J., & Skiftenes Flak, L.
Venue
Government Information Quarterly
Publisher
Elsevier BV
Published
2008-07
Volume
25
Issue
3
Pages
400-428
ISSN
0740-624X (ISSN-L)
OpenAlex
W2089967221
Cited by
694
References
2
FWCI
98.18
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The shape of eParticipation: Characterizing an emerging research area. https://app.cochat.ai/papers/10.1016/j.giq.2007.04.007
The paper
Sæbø, Ø., Rose, J., & Skiftenes Flak, L. (2008). The shape of eParticipation: Characterizing an emerging research area. Government Information Quarterly. https://doi.org/10.1016/j.giq.2007.04.007

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.