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Cited by 915

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Experiential Learning within the Process of Opportunity Identification and Exploitation

Corbett, Andrew C.·2005·Entrepreneurship Theory and Practice

Abstract

The article uses experiential learning theory to magnify the importance of learning within the process of entrepreneurship. Previous research details the contributions of prior knowledge, creativity, and cognitive mechanisms to the process of opportunity identification and exploitation; however, the literature is devoid of work that directly addresses learning. The extant research assumes learning is occurring but does not directly address the importance of learning to the process. To fully understand the nature of the entrepreneurial process, researchers must take into account how individuals learn and how different modes of learning influence opportunity identification and exploitation. This article makes connections between knowledge, cognition, and creativity to develop the concept of learning asymmetries and illustrates how a greater appreciation for the differences in individual learning will fortify entrepreneurship research.

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Crossref · 10.1111/j.1540-6520.2005.00094.x

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Metadata

Authors
Corbett, A. C.
Venue
Entrepreneurship Theory and Practice
Published
2005-07
Volume
29
Issue
4
Pages
473-491
ISSN
  • 1042-2587 (ISSN-L)
  • 1540-6520
OpenAlex
W1988789638
Cited by
915
References
44
FWCI
31.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Experiential Learning within the Process of Opportunity Identification and Exploitation. https://app.cochat.ai/papers/10.1111/j.1540-6520.2005.00094.x
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Corbett, A. C. (2005). Experiential Learning within the Process of Opportunity Identification and Exploitation. Entrepreneurship Theory and Practice. https://doi.org/10.1111/j.1540-6520.2005.00094.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.