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Cited by 1,025

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

The Succession Process from a Resource- and Knowledge-Based View of the Family Firm

Cabrera-Suárez, Katiuska, De Saá-Pérez, Petra, García-Almeida, Desiderio·2001·Family Business Review

Abstract

A major challenge facing the family firm is the succession process. One reason for this challenge might involve the successor's ability to acquire the predecessor's key knowledge and skills adequately to maintain and improve the organizational performance of the firm. This paper uses two theoretical approaches from the strategic management field to explore this critical process and analyze how it can be managed effectively: the resource-based theory of the firm and the emergent knowledge-based view. This conceptual framework provides a powerful tool for understanding the nature and transfer of knowledge within the family business, which becomes the basis for developing competitive advantage over nonfamily businesses.

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Crossref · 10.1111/j.1741-6248.2001.00037.x

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Metadata

Authors
Cabrera-Suárez, K., De Saá-Pérez, P., & García-Almeida, D.
Venue
Family Business Review
Published
2001-03
Volume
14
Issue
1
Pages
37-46
ISSN
  • 0894-4865 (ISSN-L)
  • 1741-6248
OpenAlex
W2009591040
Cited by
1,025
References
6
FWCI
9.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Succession Process from a Resource- and Knowledge-Based View of the Family Firm. https://app.cochat.ai/papers/10.1111/j.1741-6248.2001.00037.x
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Cabrera-Suárez, K., De Saá-Pérez, P., & García-Almeida, D. (2001). The Succession Process from a Resource- and Knowledge-Based View of the Family Firm. Family Business Review. https://doi.org/10.1111/j.1741-6248.2001.00037.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.