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Assessing the level of digitalization and robotization in the enterprises of the European Union Member States.
Brodny, Jaroslaw; Tutak, Magdalena.
  • Brodny J; Silesian University of Technology, Gliwice, Poland.
  • Tutak M; Silesian University of Technology, Gliwice, Poland.
PLoS One ; 16(7): e0254993, 2021.
Article in English | MEDLINE | ID: covidwho-1323014
ABSTRACT
One of the main reasons for the dynamic global economic development observed in recent years is the process of digitalization, referred to as Industry 4.0. The significance of digitalization for this development is appreciated by the EU-27. In order for these actions to be effective, it is necessary to diagnose the current level of digitalization in the EU-27countries. The article presents the results of the assessment of the level of digitalization of enterprises in the EU-27 countries. An empirical analysis was conducted using 16 determinants which describe the digitalization in a sample of 27 EU countries. Based on the adopted criteria and the Technique for Order Preference by Similarity to an Ideal Solution method, these countries were divided into four classes in terms of the level of digitalization. The analysis looked at the size of enterprises and was performed independently for small, medium and large enterprises. The adopted indicators allowed for the analysis of similarity between the EU-27 countries in terms of digitalization, using the Kohonen's networks. The result of this research was the division of the EU-27 countries into groups, also taking into account the size of studied enterprises. Due to the immensely diverse EU-27 economy, such a huge undertaking as the digital transformation process requires building logical internal "digital coalitions". The designated assessment and similarity between countries creates such opportunities, also in terms of building an effective policy to support these processes by the EU. This increases the chances of success of joint ventures and building a sustainable European community based on the latest technologies.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Robotics / European Union / Industry Type of study: Experimental Studies / Randomized controlled trials Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0254993

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Robotics / European Union / Industry Type of study: Experimental Studies / Randomized controlled trials Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0254993