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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

50201 - Economic Theory

Project

—

Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2020

Confidentiality

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

Name of the periodical

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

ISSN

1804-8048

e-ISSN

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Volume of the periodical

28

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

15

Pages from-to

1094-1108

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85098105450