IDEAS home Printed from https://ideas.repec.org/a/aes/amfeco/v25y2023is17p1115.html
   My bibliography  Save this article

Implications of Digitalisation on Skill Needs in a Sustainable Economy

Author

Listed:
  • Monica Mihaela Maer Matei

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Cristina Mocanu

    (National Scientific Research Institute for Labour and Social Protection, Bucharest, Romania)

  • Ana Maria Zamfir

    (National Scientific Research Institute for Labour and Social Protection, Bucharest, Romania)

  • Anamaria Nastasa

    (National Scientific Research Institute for Labour and Social Protection, Bucharest, Romania; University of Bucharest, Bucharest, Romania)

Abstract

Digitalisation and mainly artificial intelligence led to significant disruptions at all levels of society, changing how we live, communicate, build communities, work, and learn. In addition, digital technologies offer solutions to achieve sustainable development goals. Therefore, to benefit from this potential, it is vital to understand the skill needs associated with sustainable digitalisation. The impact of digitisation on the labour market is largely documented, but there are still important debates on what future jobs will look like. On the one hand, some scenarios announce massive shifts and destruction of jobs with rhythms that cannot be managed well by societies, while others point instead to transformations of skills needs. Therefore, our article aims to investigate the links between digitalisation and skills needs among digitalised enterprises, focussing on those implementing artificial intelligence solutions. In this respect, we use various multivariate techniques to analyse the data made public for the Flash Eurobarometer 486 (2020). Our findings suggest that digitalisation leads to skills shortages and skill gaps among companies adopting different digital solutions. In other words, digitalisation requires more workers with better digital skills.

Suggested Citation

  • Monica Mihaela Maer Matei & Cristina Mocanu & Ana Maria Zamfir & Anamaria Nastasa, 2023. "Implications of Digitalisation on Skill Needs in a Sustainable Economy," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(S17), pages 1115-1115, November.
    • Handle: RePEc:aes:amfeco:v:25:y:2023:i:s17:p:1115
    as

    Download full text from publisher

    File URL: http://www.amfiteatrueconomic.ro/temp/Article_3258.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    2. 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.
    3. Mara Del Baldo & Cătălina Sitnikov & Laura Vasilescu & Lucian Mandache & Radu Ogarcă & Anca Băndoi & Eugen Ganea, 2022. "Funding, Turnover, Sustainability and Digital Technologies: A Multicriteria Research Model for SMEs Facing a Challenging Context," Sustainability, MDPI, vol. 14(7), pages 1-33, March.
    4. Maarten Goos, 2018. "The impact of technological progress on labour markets: policy challenges," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(3), pages 362-375.
    5. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    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. Aleksandra Parteka & Joanna Wolszczak-Derlacz & Dagmara Nikulin, 2021. "How digital technology affects working conditions in globally fragmented production chains: evidence from Europe," GUT FME Working Paper Series A 66, Faculty of Management and Economics, Gdansk University of Technology.
    2. Parteka, Aleksandra & Wolszczak-Derlacz, Joanna & Nikulin, Dagmara, 2024. "How digital technology affects working conditions in globally fragmented production chains: Evidence from Europe," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    3. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    4. Anderton, Robert & Jarvis, Valerie & Labhard, Vincent & Morgan, Julian & Petroulakis, Filippos & Vivian, Lara, 2020. "Virtually everywhere? Digitalisation and the euro area and EU economies," Occasional Paper Series 244, European Central Bank.
    5. Wolcott, Erin L., 2021. "Employment inequality: Why do the low-skilled work less now?," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 161-177.
    6. Lekfuangfu, Warn N. & Nakavachara, Voraprapa, 2021. "Reshaping Thailand's labor market: The intertwined forces of technology advancements and shifting supply chains," Economic Modelling, Elsevier, vol. 102(C).
    7. Arvai Kai & Mann Katja, 2022. "Consumption Inequality in the Digital Age," Working papers 890, Banque de France.
    8. Hugo Castro-Silva & Francisco Lima, 2023. "The struggle of small firms to retain high-skill workers: job duration and the importance of knowledge intensity," Small Business Economics, Springer, vol. 60(2), pages 537-572, February.
    9. Sotiris Blanas & Gino Gancia & Sang Yoon (Tim) Lee, 2019. "Who is afraid of machines?," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 627-690.
    10. Gabriel RAITA & Teodora Odett BREAZ, 2021. "The Era Of Digitalization And Future Changes In The Accounting Profession," European Journal of Accounting, Finance & Business, "Stefan cel Mare" University of Suceava, Romania - Faculty of Economics and Public Administration, West University of Timisoara, Romania - Faculty of Economics and Business Administration, vol. 16(26), pages 63-72, June.
    11. Sergio Ocampo, 2019. "A task-based theory of occupations with multidimensional heterogeneity," 2019 Meeting Papers 477, Society for Economic Dynamics.
    12. Fierro, Luca Eduardo & Caiani, Alessandro & Russo, Alberto, 2022. "Automation, Job Polarisation, and Structural Change," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 499-535.
    13. Wang, Jianlong & Wang, Weilong & Liu, Yong & Wu, Haitao, 2023. "Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China," Technology in Society, Elsevier, vol. 72(C).
    14. Florencia Jaccoud & Fabien Petit & Tommaso Ciarli & Maria Savona, 2024. "Automation and Employment over the Technology Life Cycle: Evidence from European Regions," CEPEO Working Paper Series 24-02, UCL Centre for Education Policy and Equalising Opportunities, revised Feb 2024.
    15. Amalia R. Miller & Ragan Petrie & Carmit Segal, 2024. "Effects of Workplace Competition on Work Time and Gender Inequality," ILR Review, Cornell University, ILR School, vol. 77(2), pages 251-272, March.
    16. Shi, Zheng, 2023. "The impact of regional ICT development on job quality of the employee in China," Telecommunications Policy, Elsevier, vol. 47(6).
    17. Giorgio Presidente, 2023. "Institutions, Holdup, and Automation," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(4), pages 831-847.
    18. Daron Acemoglu & Pascual Restrepo, 2018. "Low-Skill and High-Skill Automation," Journal of Human Capital, University of Chicago Press, vol. 12(2), pages 204-232.
    19. Benjamin Moll & Lukasz Rachel & Pascual Restrepo, 2022. "Uneven Growth: Automation's Impact on Income and Wealth Inequality," Econometrica, Econometric Society, vol. 90(6), pages 2645-2683, November.
    20. Nicholas Bloom & Tarek Alexander Hassan & Aakash Kalyani & Josh Lerner & Ahmed Tahoun, 2021. "The diffusion of disruptive technologies," CEP Discussion Papers dp1798, Centre for Economic Performance, LSE.

    More about this item

    Keywords

    Digital transformation; skills needs; skills shortage; sustainable digital economy.;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis

    Statistics

    Access and download statistics

    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:aes:amfeco:v:25:y:2023:i:s17:p:1115. 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: Valentin Dumitru (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    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.