Knowledge Mapping of Skills Mismatch Phenomenon: A Scientometric Analysis

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Autor/inn/en	Draissi, Zineb; Zhanyong, Qi; Raguindin, Princess Zarla Jurado
Titel	Knowledge Mapping of Skills Mismatch Phenomenon: A Scientometric Analysis
Quelle	In: Higher Education, Skills and Work-based Learning, 12 (2022) 2, S.271-293 (23 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Draissi, Zineb) ORCID (Zhanyong, Qi) ORCID (Raguindin, Princess Zarla Jurado)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2042-3896
DOI	10.1108/HESWBL-02-2021-0019
Schlagwörter	Job Skills; Outcomes of Education; Skill Development; Human Capital; Supply and Demand; Labor Needs; Educational Research; College Graduates; Employment Qualifications; Journal Articles; Foreign Countries; Citations (References); Visual Aids; Labor Market; United States; United Kingdom (England); Australia; South Africa; Germany; Canada; Netherlands; Asia; Europe + Suchen Sie Ihr Suchwort? Produktive Fertigkeit; Lernleistung; Schulerfolg; Kompetenzentwicklung; Qualifikationsentwicklung; Humankapital; Bedarfsplanung; Labour needs; Arbeitskräftebedarf; Bildungsforschung; Pädagogische Forschung; Hochschulabsolvent; Hochschulabsolventin; Employment qualification; Vocational qualification; Vocational qualifications; Berufliche Qualifikation; Journal article; Zeitschriftenaufsatz; Ausland; Citations; Zitat; Anschauungsmaterial; Labour market; Arbeitsmarkt; USA; Australien; Südafrika; Süd-Afrika; Republik Südafrika; Südafrikanische Republik; Deutschland; Kanada; Niederlande; Asien; Europa
Abstract	Purpose: This paper aims to understand the development track of skills mismatch research and discover the hidden internal connections between literature. Design/methodology/approach: The authors gathered data through scientometric quantitative analysis using CiteSpace. Specifically, this article applied basic analysis, journal cocitation analysis (JCA), author cocitation analysis (ACA) and document cocitation analysis (DCA), cluster analysis, citation burstness detection, scientific research cooperation analysis and coconcurrence analysis of keywords of 3,125 documents from Web of Science core collections for the period 2000-2020. Findings: Through the document cocitation analysis and the keywords' co-occurrence, this article identifies influential scholars, documents, research institutions, journals and research hotspots in research on the skills mismatch phenomenon. The results showed that the publications had ballooned, and the phenomenon has become an interdisciplinary research subject. The USA and Finland remain the main contributors, which is attributed to their high-yield institutions such as the University of Helsinki, the University of Witwatersrand, the University of Washington and so on. While the African continent lacks research on skills mismatch even with the continent's effort to overcome such a crucial issue. The paper presents an in-depth analysis of skills and educational mismatch issues to better understand the evolutionary trajectory of the collective knowledge over the past 20 years and highlight the areas of active pursuit. Research limitations/implications: The authors only used Web of Science core collection to collect data; however, they can added Scopus indexed database as well to extend the research trends and explore more new research hot topics to solve the skills mismatch phenomenon. Originality/value: The scientometric analysis is of great significance for identifying the potential relationship between the literature and investigating the knowledge evolution of skills mismatch research. Organisation for Economic Co-operation and Development, the International Labor Organization and the World Health Organization are the giants who are mostly concerned of the mismatch skills phenomenon. Researchers can refer to this study to understand the status quo, gaps and research trends to deal with the skills mismatch issue. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01