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Cited by 338

The DOI matches its Crossref record; 158 of the 158 references it cites were found in a registry or an index.

Viewing Family Firm Behavior and Governance Through the Lens of Agency and Stewardship Theories

Open access
Madison, Kristen, Holt, Daniel T., Kellermanns, Franz W., Ranft, Annette L.·2016·Family Business Review

Abstract

Agency and stewardship theories are prominent perspectives to examine myriad issues within family firms. Although considered opposing theories, both address the same phenomena: the individual-level behaviors and firm-level governance mechanisms that predict organizational outcomes. Accordingly, we review and synthesize these theories concurrently, using the concepts of behavior and governance as our organizing framework. Our review encompasses 107 family firm articles grounded in agency and/or stewardship theory, published between 2000 and 2014 in 24 journals across several disciplines. Additionally, we identify future research areas that provide scholars opportunities to push theoretical boundaries and offer further insights into the family firm.

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Crossref · 10.1177/0894486515594292

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Metadata

Authors
Madison, K., Holt, D. T., Kellermanns, F. W., & Ranft, A. L.
Venue
Family Business Review
Published
2015-07-15
Volume
29
Issue
1
Pages
65-93
ISSN
  • 0894-4865 (ISSN-L)
  • 1741-6248
OpenAlex
W1788464667
Cited by
338
References
158
FWCI
42.51
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Viewing Family Firm Behavior and Governance Through the Lens of Agency and Stewardship Theories. https://app.cochat.ai/papers/10.1177/0894486515594292
The paper
Madison, K., Holt, D. T., Kellermanns, F. W., & Ranft, A. L. (2016). Viewing Family Firm Behavior and Governance Through the Lens of Agency and Stewardship Theories. Family Business Review. https://doi.org/10.1177/0894486515594292

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.