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Assessing the level of digitalization and robotization in the enterprises of the European Union Member States

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  • Jarosław Brodny
  • Magdalena Tutak

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.

Suggested Citation

  • Jarosław Brodny & Magdalena Tutak, 2021. "Assessing the level of digitalization and robotization in the enterprises of the European Union Member States," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-36, July.
  • Handle: RePEc:plo:pone00:0254993
    DOI: 10.1371/journal.pone.0254993
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    References listed on IDEAS

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    1. Balsmeier, Benjamin & Woerter, Martin, 2019. "Is this time different? How digitalization influences job creation and destruction," Research Policy, Elsevier, vol. 48(8), pages 1-1.
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    4. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
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    Cited by:

    1. Alessandra Neri & Marta Negri & Enrico Cagno & Vikas Kumar & Jose Arturo Garza‐Reyes, 2023. "What digital‐enabled dynamic capabilities support the circular economy? A multiple case study approach," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 5083-5101, November.
    2. Alessandra Neri & Marta Negri & Enrico Cagno & Simone Franzò & Vikas Kumar & Tommaso Lampertico & Carlo Andrea Bassani, 2023. "The role of digital technologies in supporting the implementation of circular economy practices by industrial small and medium enterprises," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4693-4718, November.
    3. Liliana Ionescu-Feleagă & Bogdan-Ștefan Ionescu & Oana Cristina Stoica, 2022. "The Impact of Digitalization on Happiness: A European Perspective," Mathematics, MDPI, vol. 10(15), pages 1-24, August.
    4. Ion Ionascu & Mihaela Ionascu & Elena Nechita & Marian Sacarin & Mihaela Minu, 2022. "Digital Transformation, Financial Performance and Sustainability: Evidence for European Union Listed Companies," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 24(59), pages 1-94.
    5. Marti, Luisa & Puertas, Rosa, 2023. "Analysis of European competitiveness based on its innovative capacity and digitalization level," Technology in Society, Elsevier, vol. 72(C).

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