Artikel

Gender diversity in boards of directors: A bibliometric mapping

The literature on gender diversity in boards of directors has expanded significantly in recent years, due to the fact that women are increasingly holding higher management positions within the company hierarchy, clearly demonstrating that certain characteristics of women have a positive impact on different areas within the company. The objective of this paper is to analyze scientific articles on the presence of women in boards of directors, based on a literature review, in order to learn about the evolution of this concept over time. The search conducted for this paper produced 300 documents from the Web of Science, with a final total result of 168 documents after passing the initial results through various filters. VOSviewer software was used to analyze the information, which enabled the creation of bibliometric citation, co-citation and co-word maps. The results reveal the most relevant authors and studies on this subject and identify the most current studies, the main topic of which deals with sustainability and corporate social responsibility, in addition to highlighting the characteristics of women that are of vital importance to boards of directors within the current context: empathy, open innovation, concern for the needs of interest groups and a heightened perception of risks.

Language
Englisch

Bibliographic citation
Journal: Journal of Open Innovation: Technology, Market, and Complexity ; ISSN: 2199-8531 ; Volume: 7 ; Year: 2021 ; Issue: 1 ; Pages: 1-16 ; Basel: MDPI

Classification
Management
Subject
open innovation
bibliometric analysis
board of directors
business performance
gender diversity
women

Event
Geistige Schöpfung
(who)
Sánchez-Teba, Eva María
Benítez-Márquez, María Dolores
Porras-Alcalá, Paloma
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2021

DOI
doi:10.3390/joitmc7010012
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Sánchez-Teba, Eva María
  • Benítez-Márquez, María Dolores
  • Porras-Alcalá, Paloma
  • MDPI

Time of origin

  • 2021

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