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Family firms’ equity entry modes: Bridging family business and international business

Published online by Cambridge University Press:  23 September 2024

Giorgia M. D’Allura*
Affiliation:
Department of Economics and Business, University of Catania, Catania, Italy
Andrea Calabrò
Affiliation:
Ipag Business School, Nice, France
Mariasole Bannò
Affiliation:
Department of Industrial and Mechanical Engineering, University of Brescia, Brescia, Italy
Vincenzo Pisano
Affiliation:
Department of Economics and Business, University of Catania, Catania, Italy
*
Corresponding author: Giorgia M. D’Allura; Email: gdallura@unict.it
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Abstract

In the global economy, the international strategies of family firms, influenced by family ownership and management, remain underexplored. Bridging the family business and international business fields, we use the socioemotional wealth lens to examine 1,236 international expansions from 2007 to 2013. Categorizing firms into pure family, nearly pure family, borderline family, and non-family typologies, we assess the influence of internal (experience, knowledge) and external (country risk) factors on their entry modes. Results indicate that higher family involvement in ownership/management increases the preference for greenfield investments over acquisitions or equity alliances, a relationship further moderated by international experience and country risk. This study provides nuanced insights into the international behaviors of family firms.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press in association with Australian and New Zealand Academy of Management.
Figure 0

Table 1. Description of the four clusters and their relationship with SEW

Figure 1

Figure 1. Our framework.

Figure 2

Table 2. Description of dependent and independent variables

Figure 3

Table 3. Descriptive statistics of dependent and independent variables

Figure 4

Table 4. Clusters’ descriptive statistics

Figure 5

Table 5. Results of the ordinal regressions