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Cited by 512

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Succession and Nonsuccession Concerns of Family Firms and Agency Relationship with Nonfamily Managers

Chua, Jess H., Chrisman, James J., Sharma, Pramodita·2003·Family Business Review

Abstract

This article consists of two parts. The first part reports findings from a survey of the issues facing top executives in 272 Canadian family firms. Results show that succession is their No. 1 concern, thus supporting the predominant focus of family business researchers on succession issues. Results also show that concern about relationships with nonfamily managers is a close second in importance. The second part of the article uses Agency Theory to explain why relationships with nonfamily managers are so important. Empirical results show that both the extent and the criticality of a firm's dependence on nonfamily managers are statistically significant determinants of the importance. This study implies that relationships with nonfamily managers is a neglected research topic and points to a new direction for research in family business management.

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Crossref · 10.1111/j.1741-6248.2003.00089.x

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Metadata

Authors
Chua, J. H., Chrisman, J. J., & Sharma, P.
Venue
Family Business Review
Published
2003-06
Volume
16
Issue
2
Pages
89-107
ISSN
  • 0894-4865 (ISSN-L)
  • 1741-6248
OpenAlex
W2002603455
Cited by
512
References
3
FWCI
12.63
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Succession and Nonsuccession Concerns of Family Firms and Agency Relationship with Nonfamily Managers. https://app.cochat.ai/papers/10.1111/j.1741-6248.2003.00089.x
The paper
Chua, J. H., Chrisman, J. J., & Sharma, P. (2003). Succession and Nonsuccession Concerns of Family Firms and Agency Relationship with Nonfamily Managers. Family Business Review. https://doi.org/10.1111/j.1741-6248.2003.00089.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.