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Cited by 288

The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.

Building a family firm image: How family firms capitalize on their family ties

Open access
Zellweger, Thomas M., Kellermanns, Franz W., Eddleston, Kimberly A., Memili, Esra·2012·Journal of Family Business Strategy

Abstract

We apply organizational identity theory to examine factors that lead family firms to create a family firm image and investigate how a family firm image impacts firm performance. We find that family firm pride, community social ties, and long-term orientation are positively associated with the inclination of a firm to portray itself as a family business to consumers and stakeholders. In turn, we find that a family firm image benefits firm performance. Thus, our study demonstrates that by building a family firm image, the unique family influences on the firm can be leveraged to create a competitive advantage for family firms.

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Registry

Crossref · 10.1016/j.jfbs.2012.10.001

Cites

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Metadata

Authors
Zellweger, T. M., Kellermanns, F. W., Eddleston, K. A., & Memili, E.
Venue
Journal of Family Business Strategy
Publisher
Elsevier BV
Published
2012-12
Volume
3
Issue
4
Pages
239-250
ISSN
1877-8585 (ISSN-L)
OpenAlex
W2034264459
Cited by
288
References
126
FWCI
12.84
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Building a family firm image: How family firms capitalize on their family ties. https://app.cochat.ai/papers/10.1016/j.jfbs.2012.10.001
The paper
Zellweger, T. M., Kellermanns, F. W., Eddleston, K. A., & Memili, E. (2012). Building a family firm image: How family firms capitalize on their family ties. Journal of Family Business Strategy. https://doi.org/10.1016/j.jfbs.2012.10.001

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.