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  • 标题:Equilibrium of Labor Market: New Security Instruments in the Context of Digitalization
  • 本地全文:下载
  • 作者:Alena Vankevich ; Iryna Kalinouskaya ; Olga Zaitseva
  • 期刊名称:SHS Web of Conferences
  • 印刷版ISSN:2416-5182
  • 电子版ISSN:2261-2424
  • 出版年度:2021
  • 卷号:93
  • 页码:1-7
  • DOI:10.1051/shsconf/20219303017
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:The actual methods of labor market analysis are based on outdated technologies for collecting information and do not consider the competencies available in the CV and in demand by vacancies. In order to obtain reliable current information on the balance of the workforce quality, as the carrier of certain competencies, and market requirements, the method is proposed for determining the degree of their consistency through the ratio of competencies available to applicants and those requested by employers. The proposed methodology, based on big data technologies, uses artificial intelligence as the main toolkit which makes it possible to quickly and efficiently collect, process and visualize the obtained data, which makes it possible to conduct its further qualitative analysis in the context of the proposed / demanded competencies, professions, regions and types of economic activities. As a practical interpretation of the proposed methodology, the paper analyzes the degree of consistency of existing / demanded competencies in the context of the regions of Belarus.
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