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Cited by 470

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Grappling with the Unbearable Elusiveness of Entrepreneurial Opportunities

Open access
Dimov, Dimo·2011·Entrepreneurship Theory and Practice

Abstract

The notion of opportunity, as currently discussed in entrepreneurship research, is theoretically exciting but empirically elusive. This article seeks to stimulate a new conversation about entrepreneurial opportunities by distinguishing two conceptions of entrepreneurial behavior—formal and substantive—and situating the construct of opportunity within the latter. It discusses three substantive premises for studying opportunities empirically: (1) opportunity as happening; (2) opportunity as expressed in actions; and (3) opportunity as instituted in market structures. These premises stimulate research questions that can invigorate and expand the study of entrepreneurial opportunities. They invite a continuous dialogue between qualitative and quantitative methodologies in behalf of understanding how opportunities emerge and evolve at the level of individual entrepreneurs.

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Crossref · 10.1111/j.1540-6520.2010.00423.x

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Metadata

Authors
Dimov, D.
Venue
Entrepreneurship Theory and Practice
Published
2011-01
Volume
35
Issue
1
Pages
57-81
ISSN
  • 1042-2587 (ISSN-L)
  • 1540-6520
OpenAlex
W1999034128
Cited by
470
References
4
FWCI
49.99
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Grappling with the Unbearable Elusiveness of Entrepreneurial Opportunities. https://app.cochat.ai/papers/10.1111/j.1540-6520.2010.00423.x
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Dimov, D. (2011). Grappling with the Unbearable Elusiveness of Entrepreneurial Opportunities. Entrepreneurship Theory and Practice. https://doi.org/10.1111/j.1540-6520.2010.00423.x

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.