Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 395

The DOI matches its Crossref record; 158 of the 158 references it cites were found in a registry or an index.

Architecture of Entrepreneurial Learning: Exploring the Link among Heuristics, Knowledge, and Action

Holcomb, Tim R., Ireland, R. Duane, Holmes, R. Michael, Hitt, Michael A.·2009·Entrepreneurship Theory and Practice

Abstract

We extend existing theories of entrepreneurial learning and highlight the effects of heuristics under two different learning contexts: experiential learning and vicarious learning. Specifically, we argue that heuristics are consequential in explaining variations in learning. In some cases, heuristics can be highly adaptive and beneficial to the accumulation of knowledge. In others, they can distort judgments and bias learning. By considering linkages among heuristics, knowledge, and action, we seek to provide a more complete model of entrepreneurial learning that allows for examination of the influence of judgments on learning and to expose conditions that can benefit or limit effective action in an entrepreneurial setting.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1540-6520.2008.00285.x

Cites

158 of 158 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 158 references

Cited by

See all 395

Metadata

Authors
Holcomb, T. R., Ireland, R. D., Holmes, R. M., & Hitt, M. A.
Venue
Entrepreneurship Theory and Practice
Published
2009-01
Volume
33
Issue
1
Pages
167-192
ISSN
  • 1042-2587 (ISSN-L)
  • 1540-6520
OpenAlex
W2057368312
Cited by
395
References
158
FWCI
25.81
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Architecture of Entrepreneurial Learning: Exploring the Link among Heuristics, Knowledge, and Action. https://app.cochat.ai/papers/10.1111/j.1540-6520.2008.00285.x
The paper
Holcomb, T. R., Ireland, R. D., Holmes, R. M., & Hitt, M. A. (2009). Architecture of Entrepreneurial Learning: Exploring the Link among Heuristics, Knowledge, and Action. Entrepreneurship Theory and Practice. https://doi.org/10.1111/j.1540-6520.2008.00285.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.