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Cited by 379

The DOI matches its OpenAlex record; 2 of the 2 references it cites were found in a registry or an index.

A Stakeholder Perspective on Family Firm Performance

Thomas Markus Zellweger, Robert S. Nason·2008·Family Business Review

Abstract

Through the lens of stakeholder theory, this article deepens our understanding of financial and nonfinancial performance outcomes in family firms across multiple stakeholder categories, including the family level of analysis. Based on this foundation, we develop a typology of performance relationships between performance outcomes: overlapping, causal, synergistic, and substitutional. We argue that these relationships, when used between constructive (positive) performance outcomes, are able to increase stakeholder satisfaction, which in turn increases organizational effectiveness. Through this analysis, we extend the common one-dimensional and cause-effect understanding of performance in family firms and move toward a comprehensive stakeholder performance perspective, which provides insights for increasing organizational effectiveness of family firms.

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OpenAlex · 10.1111/j.1741-6248.2008.00123.x

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Metadata

Authors
Zellweger, T. M., & Nason, R. S.
Venue
Family Business Review
Publisher
SAGE Publishing
Published
2008-09-01
Volume
21
Issue
3
Pages
203-216
ISSN
0894-4865 (ISSN-L)
OpenAlex
W4248099449
Cited by
379
References
2
FWCI
23.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Stakeholder Perspective on Family Firm Performance. https://app.cochat.ai/papers/10.1111/j.1741-6248.2008.00123.x
The paper
Zellweger, T. M., & Nason, R. S. (2008). A Stakeholder Perspective on Family Firm Performance. Family Business Review. https://doi.org/10.1111/j.1741-6248.2008.00123.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.