How to empower women's entrepreneurship? An analysis of women's sport employment and contextual variables in European Union countries using a fuzzy approach

Maria Huertas Gonzalez-Serrano, Orlando Llanos-Contreras, Ferran Calabuig-Moreno*

*Autor correspondiente de este trabajo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

1 Cita (Scopus)

Resumen

Although the number of women entrepreneurs has increased in recent years, it is still lower than that of men. In addition, although the sports sector has been characterized by its growth in recent years and contributes to the GDP of the countries by generating employment, the role that this has within female entrepreneurship has never been analysed. Therefore, the objective of this study is to know the combinations of conditions (female employment in sports, government support, financing for entrepreneurs, perception of entrepreneurial opportunities and capacities, glass ceiling index and masculine values in society) that generate high levels of female entrepreneurship in the countries of the European Union, as these values are closer to the male TEA (Total Early-Stage Entrepreneurial Activity). A total of 13 European countries were analysed using the fsQCA methodology. The results show that, for high levels of female TEA, the main combination is high levels of government support*high levels of glass ceiling index*low levels of masculinity*low levels of opportunities perception and high levels of female employment in sport, explaining 45% of the cases. The results present a series of implications for improving female entrepreneurship in the European Union countries.

Idioma originalInglés
Páginas (desde-hasta)1739-1749
Número de páginas11
PublicaciónJournal of Intelligent and Fuzzy Systems
Volumen40
N.º2
DOI
EstadoPublicada - 2021
Publicado de forma externa

Nota bibliográfica

Publisher Copyright:
© 2021-IOS Press. All rights reserved.

Áreas temáticas de ASJC Scopus

  • Estadística y probabilidad
  • Ingeniería General
  • Inteligencia artificial

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