Assessing the unemployment-related literature and its driving themes: a bibliometric analysis on the Scopus and Web of Science databases.
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| Title: | Assessing the unemployment-related literature and its driving themes: a bibliometric analysis on the Scopus and Web of Science databases. |
|---|---|
| Alternate Title: | Avaliando a literatura relacionada ao desemprego e seus temas-chave: uma análise bibliométrica nas bases de dados Scopus e Web of Science. |
| Authors: | Alves, Jardel Augusto Gomes Rodrigues |
| Source: | Brazilian Journal of Management / Revista de Administração da UFSM. 2026, Vol. 19 Issue 1, p1-25. 25p. |
| Subjects: | Unemployment, Bibliometrics, Entrepreneurship, Bibliographic databases, COVID-19 pandemic, Gender studies, Social innovation |
| Abstract (English): | Purpose: Considering both the thematic relevance and the enduring discussions in unemploymentrelated studies, the primary purpose of this study is to identify the driving topics and themes in research produced within this field. Design/methodology/approach: A bibliometric analysis was conducted on a sample of 913 documents retrieved from the Scopus and Web of Science databases. The data was analysed using both a merged sample approach and individual analyses by repository when necessary. The analyses were performed using R-Studio software along with its specific bibliometric packages and functions. Findings: Key topics were identified, such as unemployment rates, entrepreneurship, innovation, gender, and COVID-19 impacts. These themes are significant driving forces within the field. Conclusion is that while these topics are shaping discussions in the literature, most of the research primarily focuses on advanced and stable economies, leaving a scarcity of studies that address other contexts and realities. Originality/value: This study offers a dualdatabase bibliometric analysis spanning from 1960 to 2024, which is a longer period covered within similar studies. Also, when considering both Scopus and Web of Science outputs, thematic and networkbased mapping are integrated, uncovering enduring (e.g., Phillips’ Curve–related inflation dynamics) and emerging socioeconomic topics (gender, health impacts, entrepreneurial responses to COVID19) that have been assessed more recently. The sample of 913 openaccess journal articles ensures rigorous and reproducible, selection whereas the findings may help researchers, policymakers, and practitioners in targeting key elements to proceed with better informed and directed labour-market interventions. [ABSTRACT FROM AUTHOR] |
| Abstract (Portuguese): | Objetivo: Considerando a relevância temática e as discussões que perduram no tempo em estudos relacionados ao desemprego, o objetivo principal deste estudo é identificar os tópicos motrizes em pesquisas sobre o tema. Metodologia/Abordagem: Uma análise bibliométrica foi conduzida em uma amostra de 913 documentos extraídos das bases de dados Scopus e Web of Science. Os dados destes repositórios foram analisados tanto em conjunto como de forma separada, a depender da análise. O tratamento de dados e análises foram feitas via software R-Studio em seus pacotes e funções bibliométricas específicas. Resultados: Tópicos como taxas de desemprego, empreendedorismo, inovação, gênero e impactos da COVID-19 foram identificados como forças motrizes na área. Conclui-se que, embora esses tópicos estejam moldando as discussões na literatura, a maioria das pesquisas têm se concentrado em economias avançadas, resultando em escassez de estudos que abordem outras realidades. Originalidade/valor: Este estudo apresenta análise em dupla base de dados abrangendo de 1960 a 2024, tempo maior que o coberto em estudos semelhantes. Ao tratar estudos de Scopus e da Web of Science, o mapeamento temático é integrado, revelando tanto tópicos socioeconômicos persistentes (como a dinâmica entre inflação e desemprego) como emergentes (gênero, impactos na saúde e respostas empreendedoras à COVID-19). A amostra de 913 artigos de periódicos de acesso aberto garante uma seleção rigorosa e reprodutível, enquanto os resultados podem auxiliar pesquisadores, políticos e o mercado acerca de elementos influentes na proposição de intervenções mais assertivas ao mercado de trabalho. [ABSTRACT FROM AUTHOR] |
| Copyright of Brazilian Journal of Management / Revista de Administração da UFSM is the property of Brazilian Journal of Management / Revista de Administracao da UFSM and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 195006157 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Assessing the unemployment-related literature and its driving themes: a bibliometric analysis on the Scopus and Web of Science databases. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Avaliando a literatura relacionada ao desemprego e seus temas-chave: uma análise bibliométrica nas bases de dados Scopus e Web of Science. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Alves%2C+Jardel+Augusto+Gomes+Rodrigues%22">Alves, Jardel Augusto Gomes Rodrigues</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Brazilian+Journal+of+Management+%2F+Revista+de+Administração+da+UFSM%22">Brazilian Journal of Management / Revista de Administração da UFSM</searchLink>. 2026, Vol. 19 Issue 1, p1-25. 25p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Unemployment%22">Unemployment</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Entrepreneurship%22">Entrepreneurship</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliographic+databases%22">Bibliographic databases</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br /><searchLink fieldCode="DE" term="%22Gender+studies%22">Gender studies</searchLink><br /><searchLink fieldCode="DE" term="%22Social+innovation%22">Social innovation</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: Purpose: Considering both the thematic relevance and the enduring discussions in unemploymentrelated studies, the primary purpose of this study is to identify the driving topics and themes in research produced within this field. Design/methodology/approach: A bibliometric analysis was conducted on a sample of 913 documents retrieved from the Scopus and Web of Science databases. The data was analysed using both a merged sample approach and individual analyses by repository when necessary. The analyses were performed using R-Studio software along with its specific bibliometric packages and functions. Findings: Key topics were identified, such as unemployment rates, entrepreneurship, innovation, gender, and COVID-19 impacts. These themes are significant driving forces within the field. Conclusion is that while these topics are shaping discussions in the literature, most of the research primarily focuses on advanced and stable economies, leaving a scarcity of studies that address other contexts and realities. Originality/value: This study offers a dualdatabase bibliometric analysis spanning from 1960 to 2024, which is a longer period covered within similar studies. Also, when considering both Scopus and Web of Science outputs, thematic and networkbased mapping are integrated, uncovering enduring (e.g., Phillips’ Curve–related inflation dynamics) and emerging socioeconomic topics (gender, health impacts, entrepreneurial responses to COVID19) that have been assessed more recently. The sample of 913 openaccess journal articles ensures rigorous and reproducible, selection whereas the findings may help researchers, policymakers, and practitioners in targeting key elements to proceed with better informed and directed labour-market interventions. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Portuguese) Group: Ab Data: Objetivo: Considerando a relevância temática e as discussões que perduram no tempo em estudos relacionados ao desemprego, o objetivo principal deste estudo é identificar os tópicos motrizes em pesquisas sobre o tema. Metodologia/Abordagem: Uma análise bibliométrica foi conduzida em uma amostra de 913 documentos extraídos das bases de dados Scopus e Web of Science. Os dados destes repositórios foram analisados tanto em conjunto como de forma separada, a depender da análise. O tratamento de dados e análises foram feitas via software R-Studio em seus pacotes e funções bibliométricas específicas. Resultados: Tópicos como taxas de desemprego, empreendedorismo, inovação, gênero e impactos da COVID-19 foram identificados como forças motrizes na área. Conclui-se que, embora esses tópicos estejam moldando as discussões na literatura, a maioria das pesquisas têm se concentrado em economias avançadas, resultando em escassez de estudos que abordem outras realidades. Originalidade/valor: Este estudo apresenta análise em dupla base de dados abrangendo de 1960 a 2024, tempo maior que o coberto em estudos semelhantes. Ao tratar estudos de Scopus e da Web of Science, o mapeamento temático é integrado, revelando tanto tópicos socioeconômicos persistentes (como a dinâmica entre inflação e desemprego) como emergentes (gênero, impactos na saúde e respostas empreendedoras à COVID-19). A amostra de 913 artigos de periódicos de acesso aberto garante uma seleção rigorosa e reprodutível, enquanto os resultados podem auxiliar pesquisadores, políticos e o mercado acerca de elementos influentes na proposição de intervenções mais assertivas ao mercado de trabalho. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Brazilian Journal of Management / Revista de Administração da UFSM is the property of Brazilian Journal of Management / Revista de Administracao da UFSM and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5902/1983465992362 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 1 Subjects: – SubjectFull: Unemployment Type: general – SubjectFull: Bibliometrics Type: general – SubjectFull: Entrepreneurship Type: general – SubjectFull: Bibliographic databases Type: general – SubjectFull: COVID-19 pandemic Type: general – SubjectFull: Gender studies Type: general – SubjectFull: Social innovation Type: general Titles: – TitleFull: Assessing the unemployment-related literature and its driving themes: a bibliometric analysis on the Scopus and Web of Science databases. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alves, Jardel Augusto Gomes Rodrigues IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19834659 Numbering: – Type: volume Value: 19 – Type: issue Value: 1 Titles: – TitleFull: Brazilian Journal of Management / Revista de Administração da UFSM Type: main |
| ResultId | 1 |
