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Cited by 336

The DOI matches its Crossref record; 185 of the 185 references it cites were found in a registry or an index.

Family Firm Heterogeneity: A Definition, Common Themes, Scholarly Progress, and Directions Forward

Daspit, Joshua J., Chrisman, James J., Ashton, Triss, Evangelopoulos, Nicholas·2021·Family Business Review

Abstract

While progress has been made in recent years to understand the differences among family firms, insights remain fragmented due, in part, to an incomplete understanding of heterogeneity and the scope of differences that exist among family firms. Given this, we offer a definition of and review the literature on family firm heterogeneity. A latent semantic analysis of 781 articles from 33 journals identified nine common themes of family firm heterogeneity. For each theme, we review scholarly progress made and highlight differences among family firms. Additionally, we offer directions for advancing the study of family firm heterogeneity.

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Crossref · 10.1177/08944865211008350

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Metadata

Authors
Daspit, J. J., Chrisman, J. J., Ashton, T., & Evangelopoulos, N.
Venue
Family Business Review
Published
2021-04-26
Volume
34
Issue
3
Pages
296-322
ISSN
  • 0894-4865 (ISSN-L)
  • 1741-6248
OpenAlex
W3158826808
Cited by
336
References
185
FWCI
46.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Family Firm Heterogeneity: A Definition, Common Themes, Scholarly Progress, and Directions Forward. https://app.cochat.ai/papers/10.1177/08944865211008350
The paper
Daspit, J. J., Chrisman, J. J., Ashton, T., & Evangelopoulos, N. (2021). Family Firm Heterogeneity: A Definition, Common Themes, Scholarly Progress, and Directions Forward. Family Business Review. https://doi.org/10.1177/08944865211008350

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.