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Comparative Analysis of the Relationship Between Workforce Demand and Digitalization at Company Level in Romania and Germany

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  • Adina-Maria Voda

    (Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

The impact of technology on the workforce demand at the company level can result in job loss due to automation, but it can also create new jobs through the development of new technologies and increased demand for products and services. We use correlation statistical analysis of the data collected in 2018 by Eurofound through the European Company Survey (ECS 2019) to analyze the effects of technology on workforce demand in Romania and Germany and to compare the two countries in terms of digitalization and employment evolution. Although at first glance the substitution effect suggests a significant risk of job loss due to digitalization, the analysis of data obtained from the ECS 2019 survey at the company level in Romania highlights the opposite. Thus, we observe an upward trend in employment growth in Romanian companies with various levels of digitalization, but a weak correlation between the two suggesting there are other factors involved. We find that usage of personalized software and data analysis are positively correlated with employment growth in both countries. Likewise, robots adoption in Romania do not have a clear effect on employment, compared to the positive employment trends in Germany during 2016-2018.

Suggested Citation

  • Adina-Maria Voda, 2025. "Comparative Analysis of the Relationship Between Workforce Demand and Digitalization at Company Level in Romania and Germany," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 98-115.
  • Handle: RePEc:ddj:fseeai:y:2025:i:1:p:98-115
    DOI: https://doi.org/10.35219/eai15840409490
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    References listed on IDEAS

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    1. Bachmann, Ronald & Gonschor, Myrielle & Lewandowski, Piotr & Madoń, Karol, 2024. "The impact of Robots on Labour market transitions in Europe," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 422-441.
    2. Florin-Valeriu PANTELIMON & Tiberiu Marian GEORGESCU & Bogdan-Stefan POSEDARU, 2020. "The Impact of Mobile e-Commerce on GDP: A Comparative Analysis between Romania and Germany and how Covid-19 Influences the e-Commerce Activity Worldwide," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 24(2), pages 27-41.
    3. Albinowski, Maciej & Lewandowski, Piotr, 2024. "The impact of ICT and robots on labour market outcomes of demographic groups in Europe," Labour Economics, Elsevier, vol. 87(C).
    4. David Autor & Caroline Chin & Anna Salomons & Bryan Seegmiller, 2024. "New Frontiers: The Origins and Content of New Work, 1940–2018," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(3), pages 1399-1465.
    5. 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.
    6. 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.
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