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Cited by 2,189

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

A Resource-Based Framework for Assessing the Strategic Advantages of Family Firms

Habbershon, Timothy G., Williams, Mary L.·1999·Family Business Review

Abstract

The Resource-Based View (RBV) of competitive advantage provides a theoretical framework from the field of strategic management for assessing the competitive advantages of family firms. The RBV isolates idiosyncratic resources that are complex, intangible, and dynamic within a particular firm. The bundle of resources that are distinctive to a firm as a result of family involvement are identified as the “familiness” of the firm. This approach provides a research and practice method for assessing the specific behavioral and social phenomena within a firm that provide an advantage. Using a familiness model for assessing competitive advantage overcomes many of the problems associated with the generic claim that family companies have an advantage over nonfamily companies. It also provides a unified systems perspective of family firm performance.

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Crossref · 10.1111/j.1741-6248.1999.00001.x

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Metadata

Authors
Habbershon, T. G., & Williams, M. L.
Venue
Family Business Review
Published
1999-03
Volume
12
Issue
1
Pages
1-25
ISSN
  • 0894-4865 (ISSN-L)
  • 1741-6248
OpenAlex
W2138254311
Cited by
2,189
References
6
FWCI
7.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Resource-Based Framework for Assessing the Strategic Advantages of Family Firms. https://app.cochat.ai/papers/10.1111/j.1741-6248.1999.00001.x
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Habbershon, T. G., & Williams, M. L. (1999). A Resource-Based Framework for Assessing the Strategic Advantages of Family Firms. Family Business Review. https://doi.org/10.1111/j.1741-6248.1999.00001.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.