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Cited by 342

The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.

Entrepreneurship and growth

Wright, Mike, Stigliani, Ileana·2013·International Small Business Journal: Researching Entrepreneurship

Abstract

The entrepreneurial growth literature is extensive, but research focusing on questions such as how firms grow, why they grow according to different patterns, how the decisions about growing or not growing are made, and the contextual dimensions within which growth takes place, has been neglected. This annual review article explores such issues: it suggests that there is a greater need to understand the processes that underlie entrepreneurial growth. In particular, we need to know more about how the entrepreneur’s cognitive processes shape growth (i.e. microfoundations of growth), how they access and configure resources to achieve growth (i.e. the resource orchestration underpinning growth), whether these are influenced by a wider variety of contextual dimensions than previously recognised, and how these influence different patterns and types of growth.

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Crossref · 10.1177/0266242612467359

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Metadata

Authors
Wright, M., & Stigliani, I.
Venue
International Small Business Journal: Researching Entrepreneurship
Published
2012-12-12
Volume
31
Issue
1
Pages
3-22
ISSN
  • 0266-2426 (ISSN-L)
  • 1741-2870
OpenAlex
W2034666367
Cited by
342
References
123
FWCI
47.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Entrepreneurship and growth. https://app.cochat.ai/papers/10.1177/0266242612467359
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Wright, M., & Stigliani, I. (2013). Entrepreneurship and growth. International Small Business Journal: Researching Entrepreneurship. https://doi.org/10.1177/0266242612467359

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.