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Analysis of Industry 4.0 Readiness in Hungary: Estimation of i4.0 Readiness Index Compared to EU Countries

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F02819180%3A_____%2F20%3A%230000114" target="_blank" >RIV/02819180:_____/20:#0000114 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://editorial.upce.cz/1804-8048/28/2/1094" target="_blank" >https://editorial.upce.cz/1804-8048/28/2/1094</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.46585/sp28021094" target="_blank" >10.46585/sp28021094</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Analysis of Industry 4.0 Readiness in Hungary: Estimation of i4.0 Readiness Index Compared to EU Countries

  • Popis výsledku v původním jazyce

    The issue of Industry 4.0 revolution is a highly discussed topic in response the industrial production is one of the most important economic sectors in the European Union. Industrial transformation and digitalization seem to be necessary evolution steps due to the lack of skilled laborers in the EU. Current demographic trends and projections of the future workforce composition are projecting warning signals. Aims: This paper reviews documented efficiency of the Industry 4.0 and adds empirical evidence on the Industry 4.0 readiness from Hungary. The main goal of this article is to calculate the innovative I4.0 Readiness Index in Hungary by using industry level indicators, and to compare results within EU-27 countries. Outcomes will be used to identify clusters of macroeconomic similarity. Data and methods: Literature review was conducted. I4.0 Readiness Index was enumerated based on data from Eurostat. Cluster analysis was used to determine the different country classes (groups) in transition towards Industry 4.0. Results: Denmark has the highest score value of I4.0 Readiness Index among the EU-27 member states, Bulgaria has the lowest performance. Hungary is on the 23rd place in the ranking. Conclusion: EU-27 region may be divided into five clusters. This paper confirmed macroeconomic disparities among countries. Cluster analysis is in accordance with results of the I4.0 Readiness Index. Findings in this paper may be considered in a future research by analysing further I4.0 indicators.

  • Název v anglickém jazyce

    Analysis of Industry 4.0 Readiness in Hungary: Estimation of i4.0 Readiness Index Compared to EU Countries

  • Popis výsledku anglicky

    The issue of Industry 4.0 revolution is a highly discussed topic in response the industrial production is one of the most important economic sectors in the European Union. Industrial transformation and digitalization seem to be necessary evolution steps due to the lack of skilled laborers in the EU. Current demographic trends and projections of the future workforce composition are projecting warning signals. Aims: This paper reviews documented efficiency of the Industry 4.0 and adds empirical evidence on the Industry 4.0 readiness from Hungary. The main goal of this article is to calculate the innovative I4.0 Readiness Index in Hungary by using industry level indicators, and to compare results within EU-27 countries. Outcomes will be used to identify clusters of macroeconomic similarity. Data and methods: Literature review was conducted. I4.0 Readiness Index was enumerated based on data from Eurostat. Cluster analysis was used to determine the different country classes (groups) in transition towards Industry 4.0. Results: Denmark has the highest score value of I4.0 Readiness Index among the EU-27 member states, Bulgaria has the lowest performance. Hungary is on the 23rd place in the ranking. Conclusion: EU-27 region may be divided into five clusters. This paper confirmed macroeconomic disparities among countries. Cluster analysis is in accordance with results of the I4.0 Readiness Index. Findings in this paper may be considered in a future research by analysing further I4.0 indicators.

Klasifikace

  • Druh

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

  • CEP obor

  • OECD FORD obor

    50201 - Economic Theory

Návaznosti výsledku

  • Projekt

  • Návaznosti

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Ostatní

  • Rok uplatnění

    2020

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Scientific Papers of the University of Pardubice, Series D, Faculty of Economics and Administration

  • ISSN

    1804-8048

  • e-ISSN

  • Svazek periodika

    28

  • Číslo periodika v rámci svazku

    2

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    15

  • Strana od-do

    1094-1108

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus

    2-s2.0-85098105450