IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v190y2023ics0040162523001476.html
   My bibliography  Save this article

Assessing the level of digital maturity in the Three Seas Initiative countries

Author

Listed:
  • Brodny, Jarosław
  • Tutak, Magdalena

Abstract

The dynamic development of the global economy, associated with the implementation of the Industry 4.0 idea, significantly affects the policies of individual countries and regions. Changes connected with this process include the digitalization of not only economy but practically all areas of life. In order to keep pace with this development and thus meet the growing competition on the global market, it is necessary to quickly adapt to the changes in question. This applies not only to all kinds of enterprises, but also to individual countries and regions. The following article assesses the level of digital maturity in a group of the EU countries that established the so-called Three Seas Initiative in 2015. These countries, like the EU as a whole, are taking a number of actions to modernize and adapt their businesses and economy to the global level. Based on a selected set of 20 determinants, characterizing the most important 9 technologies related to the idea of Industry 4.0, a comprehensive study was conducted to assess the level of digital maturity among these countries in terms of Industry 4.0 technologies implemented by enterprises and to determine their similarity in this regard. In order to achieve these objectives, a multi-stage research methodology was developed. In the first stage, statistical analyses of the adopted determinants were carried out (descriptive statistics, the Gini index, the Lorenz curves). Then, by means of the CRITIC and Grey Relational Analysis, the level of digital maturity in the use of Industry 4.0 digital technologies among these countries and their enterprises was assessed. Based on the determined values of the digital maturity index and its standard deviation, the digital maturity level classes of these countries were created. Their similarities, on the other hand, were identified using the Kohonen artificial neural networks. In addition, the Tau Kendall rank correlation coefficients were calculated between the economic parameters of studied countries and their digital maturity indicators. This comprehensive approach allowed for a reliable assessment of the digital maturity of studied countries, taking into account the most important digital technologies. Based on the results, the highest level of digital maturity in terms of the use of Industry 4.0 technologies in enterprises was found for the Czech Republic, Lithuania and Estonia, and the lowest level for Hungary, Romania and Bulgaria. The results should also be used when developing a common economic policy for countries in similar groups and for the whole Three Seas Initiative. The research carried out fills the research gap in assessing the digital maturity of a large group of EU countries located in its central and eastern parts and presents a new original research methodology in this area, also in terms of the links between the level of digitalization of enterprises and the level of economic development of countries.

Suggested Citation

  • Brodny, Jarosław & Tutak, Magdalena, 2023. "Assessing the level of digital maturity in the Three Seas Initiative countries," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
  • Handle: RePEc:eee:tefoso:v:190:y:2023:i:c:s0040162523001476
    DOI: 10.1016/j.techfore.2023.122462
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162523001476
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2023.122462?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. David Tilson & Kalle Lyytinen & Carsten Sørensen, 2010. "Research Commentary ---Digital Infrastructures: The Missing IS Research Agenda," Information Systems Research, INFORMS, vol. 21(4), pages 748-759, December.
    2. Katrin Oettmeier & Erik Hofmann, 2017. "Additive manufacturing technology adoption: an empirical analysis of general and supply chain-related determinants," Journal of Business Economics, Springer, vol. 87(1), pages 97-124, January.
    3. Ghauri, Pervez & Strange, Roger & Cooke, Fang Lee, 2021. "Research on international business: The new realities," International Business Review, Elsevier, vol. 30(2).
    4. Eva Kuruczleki & Anita Pelle & Renata Laczi & Boglarka Fekete, 2016. "The Readiness of the European Union to Embrace the Fourth Industrial Revolution," Management, University of Primorska, Faculty of Management Koper, vol. 11(4), pages 327-347.
    5. Daniela Livia Trașcă & George Marian Ștefan & Daniela Nicoleta Sahlian & Răzvan Hoinaru & George-Laurențiu Șerban-Oprescu, 2019. "Digitalization and Business Activity. The Struggle to Catch Up in CEE Countries," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    6. Szu-Ping Cheng & Ru-Yih Wang, 2004. "Analyzing Hazard Potential of Typhoon Damage by Applying Grey Analytic Hierarchy Process," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 33(1), pages 77-103, September.
    7. Jeongcheol Lee & Sungbum Jun & Tai-Woo Chang & Jinwoo Park, 2017. "A Smartness Assessment Framework for Smart Factories Using Analytic Network Process," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
    8. Yongping Xie & Yixuan Yin & Wei Xue & Hui Shi & Dazhi Chong, 2020. "Intelligent supply chain performance measurement in Industry 4.0," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 711-718, July.
    9. Frank, Alejandro Germán & Dalenogare, Lucas Santos & Ayala, Néstor Fabián, 2019. "Industry 4.0 technologies: Implementation patterns in manufacturing companies," International Journal of Production Economics, Elsevier, vol. 210(C), pages 15-26.
    10. Zeng, Huixiang & Ran, Hangxin & Zhou, Qiong & Jin, Youliang & Cheng, Xu, 2022. "The financial effect of firm digitalization: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    11. Frederico Cruz-Jesus & Tiago Oliveira & Fernando Bacao & Zahir Irani, 2017. "Assessing the pattern between economic and digital development of countries," Information Systems Frontiers, Springer, vol. 19(4), pages 835-854, August.
    12. Santos, Maribel Yasmina & Oliveira e Sá, Jorge & Andrade, Carina & Vale Lima, Francisca & Costa, Eduarda & Costa, Carlos & Martinho, Bruno & Galvão, João, 2017. "A Big Data system supporting Bosch Braga Industry 4.0 strategy," International Journal of Information Management, Elsevier, vol. 37(6), pages 750-760.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eslami, Mohammad H. & Achtenhagen, Leona & Bertsch, Cedric Tobias & Lehmann, Annika, 2023. "Knowledge-sharing across supply chain actors in adopting Industry 4.0 technologies: An exploratory case study within the automotive industry," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    2. Christian Arnold & Kai-Ingo Voigt, 2019. "Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-21, October.
    3. Olayinka David-West & Oluwasola Oni & Folajimi Ashiru, 2022. "Diffusion of Innovations: Mobile Money Utility and Financial Inclusion in Nigeria. Insights from Agents and Unbanked Poor End Users," Information Systems Frontiers, Springer, vol. 24(6), pages 1753-1773, December.
    4. Srivardhini K. Jha & E. Richard Gold & Laurette Dubé, 2021. "Modular Interorganizational Network Governance: A Conceptual Framework for Addressing Complex Social Problems," Sustainability, MDPI, vol. 13(18), pages 1-21, September.
    5. Hornyák, Miklós & Kruzslicz, Ferenc & Lányi, Beatrix, 2023. "A kis- és középvállalatok digitális transzformációja - az online jelenlét és a versenyképesség összefüggései [The relationships between the online presence of SMEs and competitiveness]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 517-543.
    6. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    7. Inês A. Ferreira & Radu Godina & Helena Carvalho, 2020. "Waste Valorization through Additive Manufacturing in an Industrial Symbiosis Setting," Sustainability, MDPI, vol. 13(1), pages 1-21, December.
    8. Piotr Å asak & SÅ‚awomir WyciÅ›lak, 2023. "Blockchain and cloud platforms in banking services: A paradox perspective," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 19(4), pages 12-47.
    9. Christian Bartelheimer, Philipp zur Heiden, Hedda Lüttenberg, Daniel Beverungen, 2021. "Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study," Working Papers Dissertations 79, Paderborn University, Faculty of Business Administration and Economics.
    10. Pradeep Racherla & Munir Mandviwalla, 2013. "Moving from Access to Use of the Information Infrastructure: A Multilevel Sociotechnical Framework," Information Systems Research, INFORMS, vol. 24(3), pages 709-730, September.
    11. Ferreira, Joao J. & Fernandes, Cristina I. & Veiga, Pedro Mota & Caputo, Andrea, 2022. "The interactions of entrepreneurial attitudes, abilities and aspirations in the (twin) environmental and digital transitions? A dynamic panel data approach," Technology in Society, Elsevier, vol. 71(C).
    12. Adomako, Samuel & Amankwah-Amoah, Joseph & Donbesuur, Francis & Ahsan, Mujtaba & Danso, Albert & Uddin, Moshfique, 2022. "Strategic agility of SMEs in emerging economies: Antecedents, consequences and boundary conditions," International Business Review, Elsevier, vol. 31(6).
    13. Anthony Goerzen & Michael Sartor & Kristin Brandl & Stacey Fitzsimmons, 2023. "Widening the lens: Multilevel drivers of firm corporate social performance," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 54(1), pages 42-60, February.
    14. Hornungová, Jana & Petrová, Kateřina, 2023. "The Relationship Between Digital Performance and Production of Greenhouse Gas Emissions in EU Countries: Correlation Analysis and ANOVA Method," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 15(1), January.
    15. Athira, A. & Ramesh, Vishnu K., 2023. "COVID-19 and corporate tax avoidance: International evidence," International Business Review, Elsevier, vol. 32(4).
    16. Tortorella, Guilherme Luz & Narayanamurthy, Gopalakrishnan & Thurer, Matthias, 2021. "Identifying pathways to a high-performing lean automation implementation: An empirical study in the manufacturing industry," International Journal of Production Economics, Elsevier, vol. 231(C).
    17. Daniel A. Skog & Henrik Wimelius & Johan Sandberg, 2018. "Digital Disruption," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(5), pages 431-437, October.
    18. Vendrell-Herrero, Ferran & Bustinza, Oscar F. & Opazo-Basaez, Marco, 2021. "Information technologies and product-service innovation: The moderating role of service R&D team structure," Journal of Business Research, Elsevier, vol. 128(C), pages 673-687.
    19. Lee, Chien-Chiang & Qin, Shuai & Li, Yaya, 2022. "Does industrial robot application promote green technology innovation in the manufacturing industry?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    20. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:190:y:2023:i:c:s0040162523001476. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.