Gender Inequality in Business: A Bibliometric and Qualitative Research

In this study, the subject of "gender inequality" is conceptually addressed primarily within the framework of Social Identity Theory (SIT). Subsequently, academic studies on "gender inequality" in English from the Web of Science (WoS) database were examined. Within the scope of the research, SSCI articles that included the terms "gender inequality - gender disparity - gender inequity - gender segregation" in their titles, keywords, or abstracts were filtered. The focus was then placed on the categories of Women’s Studies, Management, Business, Business Finance, Ethics, and Behavioral Sciences resulting in 144 Social Sciences Citation Index (SSCI) articles. The findings obtained through bibliometric and qualitative analysis techniques were presented using visual tools such as word tree, thematic map, tree map, word cloud map, three-field plot, and code-subcode-segment model. The results revealed that academic publications on gender inequality were very limited in the early 2000s, but their number has grown exponentially over time, maintaining this momentum. The countries producing the most publications in this field were identified as the United States, the United Kingdom, and Australia. Furthermore, it was observed that under the theme of gender inequality codes such as struggle, ways of seeing, troubles, and determining factors were identified, with these codes further divided into subcodes and segments. Additionally, key terms clustered under basic themes representing maturity in the literature, were identified as integration, women, and change while key terms clustered under niche themes indicating high potential for future research, were identified as masculinities, nursing, and practice.

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Publication Details

Journal
Sosyal Mucit Academic Review
Published
2025-03-25
DOI
https://doi.org/10.54733/smar.1611466
Primary Topic
Gender Diversity and Inequality
Type
article
Field-Weighted Citation Impact
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article

Gender Inequality in Business: A Bibliometric and Qualitative Research

Erman KILINÇ
Sosyal Mucit Academic Review
Gender Diversity and Inequality
article

Gender Inequality in Business: A Bibliometric and Qualitative Research

Erman KILINÇ
article en

Abstract

In this study, the subject of "gender inequality" is conceptually addressed primarily within the framework of Social Identity Theory (SIT). Subsequently, academic studies on "gender inequality" in English from the Web of Science (WoS) database were examined. Within the scope of the research, SSCI articles that included the terms "gender inequality - gender disparity - gender inequity - gender segregation" in their titles, keywords, or abstracts were filtered. The focus was then placed on the categories of Women’s Studies, Management, Business, Business Finance, Ethics, and Behavioral Sciences resulting in 144 Social Sciences Citation Index (SSCI) articles. The findings obtained through bibliometric and qualitative analysis techniques were presented using visual tools such as word tree, thematic map, tree map, word cloud map, three-field plot, and code-subcode-segment model. The results revealed that academic publications on gender inequality were very limited in the early 2000s, but their number has grown exponentially over time, maintaining this momentum. The countries producing the most publications in this field were identified as the United States, the United Kingdom, and Australia. Furthermore, it was observed that under the theme of gender inequality codes such as struggle, ways of seeing, troubles, and determining factors were identified, with these codes further divided into subcodes and segments. Additionally, key terms clustered under basic themes representing maturity in the literature, were identified as integration, women, and change while key terms clustered under niche themes indicating high potential for future research, were identified as masculinities, nursing, and practice.

Sosyal Mucit Academic ReviewVol. 6(1)
Niğde Ömer Halisdemir Üniversitesi (TR)
Openalex Percentile: Top 93%
Gender Diversity and Inequality
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