Assessing the unemployment-related literature and its driving themes: a bibliometric analysis on the Scopus and Web of Science databases
DOI:
https://doi.org/10.5902/1983465992362Parole chiave:
Unemployment, Literature Review, Bibliometric AnalysisAbstract
Purpose – Considering both the thematic relevance and the enduring discussions in unemployment-related studies, the primary purpose of this study is to identify the driving topics and themes in the field of unemployment-related research.
Design/methodology/approach – A bibliometric analysis was conducted on a final sample of 913 documents retrieved from the Scopus and Web of Science databases. The data was analyzed 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 – In examining the enduring themes that have persisted over the years, as well as those gaining recent attention, several key topics were identified: unemployment rates, entrepreneurship, innovation, gender, and the impact of COVID-19 among them. 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 – It provides an overview of literature related to unemployment, specifically within the fields of business and management. The aim is to offer guidance for future research that can more effectively examine and evaluate the key topics identified in this review. This research does not intend to introduce original propositions; rather, it aggregates and enhances existing literature in this extensive and rich field.
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