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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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS

  • CEP obor

  • OECD FORD obor

    50203 - Industrial relations

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2019

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Social Sciences

  • ISSN

    2076-0760

  • e-ISSN

  • Svazek periodika

    8

  • Číslo periodika v rámci svazku

    1

  • Stát vydavatele periodika

    CH - Švýcarská konfederace

  • Počet stran výsledku

    9

  • Strana od-do

    29

  • Kód UT WoS článku

    000683554600029

  • EID výsledku v databázi Scopus

    2-s2.0-85060240658