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The Interactions Between Digitalization, Innovation and Employment in European Companies: Insights from a Latent Class Analysis

Author

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  • Adina-Maria Vodă

    (Department of Statistics and Econometrics, Bucharest University of Economic Studies, 010371 Bucharest, Romania)

  • Mihai Ciobotea

    (Department of Statistics and Econometrics, Bucharest University of Economic Studies, 010371 Bucharest, Romania)

  • Doina Badea

    (Department of Statistics and Econometrics, Bucharest University of Economic Studies, 010371 Bucharest, Romania)

  • Monica Roman

    (Department of Statistics and Econometrics, Bucharest University of Economic Studies, 010371 Bucharest, Romania)

  • Marian Stan

    (Department of Statistics and Econometrics, Bucharest University of Economic Studies, 010371 Bucharest, Romania)

Abstract

There is increasing concern regarding the association between technological change and jobs. This study explores how different patterns of digitalization and innovation relate to job creation in European companies. We use data from the European Company Survey 2019 collected by Eurofound and Cedefop. We apply Latent Class Analysis (LCA) to identify the typologies of companies, mainly based on their level of technology adoption, innovation practices and employment patterns. We showcase four distinct classes of companies: moderate adoption of digital technology and strong international orientation, traditional and local, medium digitalization, process innovative with local focus and digital leaders and innovators, with specific patterns regarding digitalization, innovation and job creation. The digital leaders and innovators class revealed a high level of digitalization and innovation and maintained stable employment levels, with increased investments in staff training and tendency towards automation. Conversely, less-digitalized traditional companies are more susceptible to stagnation or employment decline. In general, the employment outlook is stable, without significant employment growth, signaling the need for balanced investments in innovation and digitalization that stimulate more and better jobs. This is the first study to apply LCA to explore complex relationships between digitalization, innovation, foreign trade, training investments and employment trends and offers fresh insights into company views towards employment in the digital era.

Suggested Citation

  • Adina-Maria Vodă & Mihai Ciobotea & Doina Badea & Monica Roman & Marian Stan, 2025. "The Interactions Between Digitalization, Innovation and Employment in European Companies: Insights from a Latent Class Analysis," Economies, MDPI, vol. 13(4), pages 1-19, April.
  • Handle: RePEc:gam:jecomi:v:13:y:2025:i:4:p:104-:d:1630245
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    References listed on IDEAS

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    1. Gilles Celeux & Gilda Soromenho, 1996. "An entropy criterion for assessing the number of clusters in a mixture model," Journal of Classification, Springer;The Classification Society, vol. 13(2), pages 195-212, September.
    2. Serenella Caravella & Valeria Cirillo & Francesco Crespi & Dario Guarascio & Mirko Menghini, 2023. "The diffusion of digital skills across EU regions: structural drivers and polarisation dynamics," Regional Studies, Regional Science, Taylor & Francis Journals, vol. 10(1), pages 820-844, December.
    3. Aubert-Tarby, Clémence & Escobar, Octavio R. & Rayna, Thierry, 2018. "The impact of technological change on employment: The case of press digitisation," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 36-45.
    4. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    5. Cirillo, Valeria & Fanti, Lucrezia & Mina, Andrea & Ricci, Andrea, 2023. "The adoption of digital technologies: Investment, skills, work organisation," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 89-105.
    Full references (including those not matched with items on IDEAS)

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