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<p>The importance of family businesses in the global economic landscape is widely acknowledged, and initial progress has been made in exploring the interrelationship between family businesses and the contexts in which they operate. This study investigates the influence of family businesses, geographic location, and gender diversity within Brazilian companies. For this purpose, it uses an extensive database, encompassing over 2.8&#xa0;million active Brazilian companies, and employs the Atalanta algorithm to identify family businesses. Using a&#xa0;logit model, the results reveal significant differences in gender diversity between family and non-family businesses, as well as variations between urban and rural areas. Theoretical contributions include advances in understanding the importance of the regional context in the management of family businesses, as well as expanding the debate on gender diversity in such business contexts. Practically, family businesses can adopt more inclusive policies to enhance their performance, especially in regions where gender diversity is still limited. Regional public policies that encourage inclusion could also promote the development and long-term sustainability of family businesses.</p>

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Brazilian large family firms & non-Family firms: bridging regional context and top management team gender diversity

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年3月1日

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  • Franciele Beck,
  • Kyung eun Park,
  • Jéssica Merco do Nascimento e Silva,
  • Tatiane Meurer,
  • Stephan Klaus Bubeck,
  • Melania Riefolo,
  • Jochen Baumgardt,
  • Lech Suwala,
  • Jan-Philipp Ahrens

摘要

The importance of family businesses in the global economic landscape is widely acknowledged, and initial progress has been made in exploring the interrelationship between family businesses and the contexts in which they operate. This study investigates the influence of family businesses, geographic location, and gender diversity within Brazilian companies. For this purpose, it uses an extensive database, encompassing over 2.8 million active Brazilian companies, and employs the Atalanta algorithm to identify family businesses. Using a logit model, the results reveal significant differences in gender diversity between family and non-family businesses, as well as variations between urban and rural areas. Theoretical contributions include advances in understanding the importance of the regional context in the management of family businesses, as well as expanding the debate on gender diversity in such business contexts. Practically, family businesses can adopt more inclusive policies to enhance their performance, especially in regions where gender diversity is still limited. Regional public policies that encourage inclusion could also promote the development and long-term sustainability of family businesses.