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The dependence of unemployment of the senior workforce upon explanatory variables in the European Union in the context of Industry 4.0

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F19%3A43915127" target="_blank" >RIV/62156489:43110/19:43915127 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.3390/socsci8010029" target="_blank" >https://doi.org/10.3390/socsci8010029</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/socsci8010029" target="_blank" >10.3390/socsci8010029</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The dependence of unemployment of the senior workforce upon explanatory variables in the European Union in the context of Industry 4.0

  • Original language description

    Digitalization, robotization, artificial intelligence, and all kinds of new technologies that are known as Industry 4.0 or the fourth industrial revolution have great influence on the future of work because they will gather new jobs with new skills, and a majority of the senior workforce will probably have a lot of problems with those kinds of changes and challenges. The major objective of the paper is to recognize the dependence of the unemployment of the age category 55-64 upon selected explanatory variables. The explanatory variables were selected, and the expectations of their signs were presented in the research design. The secondary data of Eurostat and OECD 2015 has been used, covering the twenty-two member countries of the European Union (the countries that provided minimum wage were included only). The econometric analysis, specifically model specification and model quantification were the main methods used in the paper. The main outcomes and relevance of the model as well as its limitations have been compared with the findings of other authors in the discussion and implications for further research.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50203 - Industrial relations

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Social Sciences

  • ISSN

    2076-0760

  • e-ISSN

  • Volume of the periodical

    8

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    9

  • Pages from-to

    29

  • UT code for WoS article

    000683554600029

  • EID of the result in the Scopus database

    2-s2.0-85060240658