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Cited by 348

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Collective Cognition: When Entrepreneurial Teams, Not Individuals, Make Decisions

West, G. Page·2007·Entrepreneurship Theory and Practice

Abstract

New venture success often depends on how the founding team collectively understands its world, estimates effects of possible actions, makes decisions, and allocates appropriate resources. Drawing on recent work in managerial cognition and entrepreneurship, this article argues for the importance of examining cognition at the team level. New venture strategy is used as a springboard to discuss collective cognition, although other important critical decision domains in new ventures may also be used to illustrate the arguments. In this and other such decision domains, collective cognition mediates between individual cognitions and firm actions and performance. A method for assessing entrepreneurial top management team cognition is developed and then tested in an exploratory study of technology–based new ventures. Two structural characteristics of collective cognition (differentiation and integration) are strongly related to firm performance, suggesting interesting opportunities for future entrepreneurship research in cognition.

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Metadata

Authors
West, G. P.
Venue
Entrepreneurship Theory and Practice
Published
2007-01
Volume
31
Issue
1
Pages
77-102
ISSN
  • 1042-2587 (ISSN-L)
  • 1540-6520
OpenAlex
W2006329528
Cited by
348
References
5
FWCI
27.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Collective Cognition: When Entrepreneurial Teams, Not Individuals, Make Decisions. https://app.cochat.ai/papers/10.1111/j.1540-6520.2007.00164.x
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West, G. P. (2007). Collective Cognition: When Entrepreneurial Teams, Not Individuals, Make Decisions. Entrepreneurship Theory and Practice. https://doi.org/10.1111/j.1540-6520.2007.00164.x

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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.