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Cited by 257

The DOI matches its Crossref record; 147 of the 147 references it cites were found in a registry or an index.

Markets, Hierarchies, and Families: Toward a Transaction Cost Theory of the Family Firm

Gedajlovic, Eric, Carney, Michael·2010·Entrepreneurship Theory and Practice

Abstract

Why do family businesses exist? What factors explain their versatility, limitations, and success within and across different industrial and geographic contexts? We develop a transaction cost framework that addresses these questions. In doing so, we identify a class of assets we term generic nontradeables (GNTs), that are firm specific, but generic in application. While many types of firms may possess such assets, we reason that family firm governance provides relative advantages in developing, sustaining, and appropriating value from GNTs through combinations with other types of assets. We propose that these advantages, as well as some concomitant disadvantages, explain the versatility, limitations, and success of family business enterprise.

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Crossref · 10.1111/j.1540-6520.2010.00418.x

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Metadata

Authors
Gedajlovic, E., & Carney, M.
Venue
Entrepreneurship Theory and Practice
Published
2010-11
Volume
34
Issue
6
Pages
1145-1172
ISSN
  • 1042-2587 (ISSN-L)
  • 1540-6520
OpenAlex
W3124853474
Cited by
257
References
147
FWCI
27.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Markets, Hierarchies, and Families: Toward a Transaction Cost Theory of the Family Firm. https://app.cochat.ai/papers/10.1111/j.1540-6520.2010.00418.x
The paper
Gedajlovic, E., & Carney, M. (2010). Markets, Hierarchies, and Families: Toward a Transaction Cost Theory of the Family Firm. Entrepreneurship Theory and Practice. https://doi.org/10.1111/j.1540-6520.2010.00418.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.