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Cited by 393

The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.

Toward a theory of public entrepreneurship

Open access
Klein, Peter G., Mahoney, Joseph T., McGahan, Anita M., Pitelis, Christos N.·2010·European Management Review

Abstract

Abstract This paper explores innovation, experimentation, and creativity in the public domain and in the public interest. Researchers in various disciplines have studied public entrepreneurship, but there is little work in management and economics on the nature, incentives, constraints, and boundaries of entrepreneurship directed to public ends. We identify a framework for analyzing public entrepreneurship and its relationship to private entrepreneurial behavior. We submit that public and private entrepreneurship share essential features but differ critically regarding the definition and measurement of objectives, the nature of the selection environment, and the opportunities for rent seeking. We describe four levels of analysis for studying public entrepreneurship, provide examples, and suggest new research directions.

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Registry

Crossref · 10.1057/emr.2010.1

Cites

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Metadata

Authors
Klein, P. G., Mahoney, J. T., McGahan, A. M., & Pitelis, C. N.
Venue
European Management Review
Publisher
Wiley
Published
2010-03
Volume
7
Issue
1
Pages
1-15
ISSN
  • 1740-4754 (ISSN-L)
  • 1740-4762
OpenAlex
W2133519256
Cited by
393
References
107
FWCI
28.69
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Toward a theory of public entrepreneurship. https://app.cochat.ai/papers/10.1057/emr.2010.1
The paper
Klein, P. G., Mahoney, J. T., McGahan, A. M., & Pitelis, C. N. (2010). Toward a theory of public entrepreneurship. European Management Review. https://doi.org/10.1057/emr.2010.1

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.