Dr Poh Yen Ng p.ng@rgu.ac.uk
Associate Professor
Performance in family firm: influences of socioemotional wealth and managerial capabilities.
Ng, Poh Yen; Dayan, Mumin; Di Benedetto, Anthony
Authors
Mumin Dayan
Anthony Di Benedetto
Abstract
Despite an extensive literature on the role of managerial capabilities in enhancing firm performance, relationships between socioemotional wealth, managerial capabilities, and performance in a family business context have not been investigated. This study relates FIBER dimensions (five characteristics of family firms commonly used in studies of family businesses) to socioemotional wealth, managerial capabilities, and firm performance, and empirically tests a mediated model using a sample of 150 small and medium-sized family businesses from the United Arab Emirates. The results illustrate that managerial capabilities mediate the relationships between three FIBER dimensions (identification of family members with the firm, binding social ties, and emotional attachment of family members) and performance.
Citation
NG, P.Y., DAYAN, M. and DI BENEDETTO, A. 2019. Performance in family firm: influences of socioemotional wealth and managerial capabilities. Journal of business research [online], 102, pages 178-190. Available from: https://doi.org/10.1016/j.jbusres.2019.05.026
Journal Article Type | Article |
---|---|
Acceptance Date | May 23, 2019 |
Online Publication Date | Jun 4, 2019 |
Publication Date | Sep 30, 2019 |
Deposit Date | Feb 16, 2023 |
Publicly Available Date | Feb 16, 2023 |
Journal | Journal of business research |
Print ISSN | 0148-2963 |
Electronic ISSN | 1873-7978 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 102 |
Pages | 178-190 |
DOI | https://doi.org/10.1016/j.jbusres.2019.05.026 |
Keywords | Family business; Socioemotional wealth; Managerial capabilities; Performance |
Public URL | https://rgu-repository.worktribe.com/output/1887967 |
Files
NG 2019 Performance in family firm (AAM)
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Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
© 2019 Elsevier Inc.
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