Strategic value driven by artificial intelligence in global businesses: a bibliometric and qualitative analysis of the most influential literature

Gender equity remains a multidimensional and persistent challenge despite significant advances in public policy, health systems, labor structures, and sociocultural transformation. Existing research often approaches gender equity from fragmented perspectives, limiting a comprehensive understanding of its structural determinants and policy implications. This study addresses this gap by adopting an interdisciplinary approach to analyze how gender equity is conceptualized and studied within public policy-related domains. This study employs a mixed methodological design combining bibliometric analysis and systematic literature review. Scientific production was retrieved from Scopus and Web of Science using structured search equations applied to titles, abstracts, and keywords. Inclusion and exclusion criteria ensured thematic relevance and methodological rigor. The dataset was cleaned and processed using R, including duplicate removal and keyword-based filtering. Bibliometric techniques were applied to identify productivity patterns, citation impact, and thematic clusters, while a qualitative synthesis of selected influential studies provided deeper interpretive insights. The findings reveal a significant growth in scientific production on gender equity, with a strong concentration in health, labor, and social policy domains. Thematic analysis identified key clusters related to structural inequality, care systems, labor participation, and sociocultural norms. However, the results also highlight persistent gaps, particularly in the integration of interdisciplinary perspectives and the limited representation of Global South contexts. Additionally, the literature shows an imbalance between descriptive approaches and the development of actionable policy frameworks. The study demonstrates that gender equity research is evolving toward greater conceptual and methodological complexity but remains fragmented across disciplines. The dominance of certain regions and thematic areas suggests structural inequalities in knowledge production. These findings underscore the need for integrative frameworks that connect public policy, health, labor, and sociocultural dimensions to advance more effective and inclusive strategies. The study contributes to the field by offering a comprehensive mapping of research trends and identifying critical gaps that can inform future research and policy design.

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Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2026-04-13
DOI
https://doi.org/10.3389/frai.2026.1800412
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Strategic value driven by artificial intelligence in global businesses: a bibliometric and qualitative analysis of the most influential literature

Jaime Marcelo Coello-Viejó, Melva Jenny Zambonino-Torres, Silvia Carolina Zambonino-Torres
Frontiers in Artificial Intelligence
Ethics and Social Impacts of AI
article

Strategic value driven by artificial intelligence in global businesses: a bibliometric and qualitative analysis of the most influential literature

Jaime Marcelo Coello-Viejó, Melva Jenny Zambonino-Torres, Silvia Carolina Zambonino-Torres
article en

Abstract

Gender equity remains a multidimensional and persistent challenge despite significant advances in public policy, health systems, labor structures, and sociocultural transformation. Existing research often approaches gender equity from fragmented perspectives, limiting a comprehensive understanding of its structural determinants and policy implications. This study addresses this gap by adopting an interdisciplinary approach to analyze how gender equity is conceptualized and studied within public policy-related domains. This study employs a mixed methodological design combining bibliometric analysis and systematic literature review. Scientific production was retrieved from Scopus and Web of Science using structured search equations applied to titles, abstracts, and keywords. Inclusion and exclusion criteria ensured thematic relevance and methodological rigor. The dataset was cleaned and processed using R, including duplicate removal and keyword-based filtering. Bibliometric techniques were applied to identify productivity patterns, citation impact, and thematic clusters, while a qualitative synthesis of selected influential studies provided deeper interpretive insights. The findings reveal a significant growth in scientific production on gender equity, with a strong concentration in health, labor, and social policy domains. Thematic analysis identified key clusters related to structural inequality, care systems, labor participation, and sociocultural norms. However, the results also highlight persistent gaps, particularly in the integration of interdisciplinary perspectives and the limited representation of Global South contexts. Additionally, the literature shows an imbalance between descriptive approaches and the development of actionable policy frameworks. The study demonstrates that gender equity research is evolving toward greater conceptual and methodological complexity but remains fragmented across disciplines. The dominance of certain regions and thematic areas suggests structural inequalities in knowledge production. These findings underscore the need for integrative frameworks that connect public policy, health, labor, and sociocultural dimensions to advance more effective and inclusive strategies. The study contributes to the field by offering a comprehensive mapping of research trends and identifying critical gaps that can inform future research and policy design.

Frontiers in Artificial IntelligenceVol. 9
Universidad Estatal de Milagro (EC)
Gender equality
Openalex Percentile: Top 25%
Ethics and Social Impacts of AI
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