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Digital transformation of the labor market - a challenge for young Poles

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Języki publikacji
EN
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EN
Purpose: The purpose of the article is to assess the level of digital competence of young Poles against the background of selected European countries in the context of changes occurring in the labor market. Design/methodology/approach: The level of digital competence of young people from 30 selected European countries was diagnosed on the basis of the development pattern method by Z. Hellwig. To develop a synthetic Z. Hellwig measure, 23 diagnostic characteristics that reflect the level of skills of young Europeans in creating digital content, using databases, communicating and collaborating online, using ICT in different types of online activities, and protecting privacy and personal data online were selected. The study covered a group of young people aged 16-24, representing a potential labor supply that is particularly relevant to the development of the digital economy. Findings: In the light of the characteristics adopted for the study, the level of digital competence of young Poles is low. Young Finns, Maltese, Dutch, Spanish and Icelanders have the highest levels of digital competence. In contrast, particularly low levels of these competences are seen among young Bulgarians and Romanians. Research limitations/implications: The presented research can contribute to further in-depth analysis of the impact of the digital competency deficit on the economic development of the countries included in the analysis in the long term, including Poland in particular. Practical implications: The results of the research can provide guidance to public authorities in creating and evaluating strategies for the development of digital competences in Poland and the other countries covered by the study. Originality/value: The article indicates the changes that the labor market is undergoing as a consequence of the digital transformation of the economy. A synthetic indicator of digital competence was constructed, taking into account the diagnostic characteristics selected by the author of the article, which in their opinion are particularly relevant to the development of the digital economy. Leaders in the level of digital competence of young people have been identified. The distance between them and Poland was also diagnosed. The findings are addressed to the public authorities of the European countries surveyed. They can provide guidelines for the creation and evaluation of strategies for the development of digital competences in Poland and the other countries covered by the study.
Rocznik
Tom
Strony
739--752
Opis fizyczny
Bibliogr. 16 poz.
Bibliografia
  • 1. Acemoglu, D., Restrepo, P. (2019). Artificial Intelligence, Automation and Work; The National Bureau of Economic Research. Chicago: University of Chicago Press.
  • 2. Borzucka-Sitkiewicz, K., Leksy, K. (2017). Ekshibicjonizm społeczny w Internecie: motywy i potencjalne zagrożenia dla zdrowia i bezpieczeństwa młodzieży. Katowice: Wydawnictwo Uniwersytetu Śląskiego.
  • 3. Brynjolfsson, E., McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. New York: W.W. Norton & Company.
  • 4. Del Rio-Chanona, RM., Mealy, P., Beguerisse-D^az, M., Lafond, F., Farmer, J.D. (2021). Occupational mobility and automation: a data-driven network model. Journal of The Royal Society Interface,18: 20200898. https://doi.org/10.1098/rsif.2020.0898.
  • 5. European Commission (2020). Digital Economy and Society Index (DESI) 2020. Integration of digital technology. Retrieved from: Integration of Digital Technology by Enterprises in the Digital Economy and Society Index | Shaping Europe’s digital future (europa.eu).
  • 6. Frey, C.B., Osborne, M.A. (2013). The Future of Employment: How Susceptible are Jobs to Computerisation? University of Oxford.
  • 7. Głomb K., Kniaź W. (2019). Kompetencje przyszłości w czasach cyfrowej dysrupcji. Studium wyzwań dla Polski w perspektywie roku 2030. Warsaw: Fundacja Naukowa EvidenceInstitute, Stowarzyszenie „Miasta w Internecie”.
  • 8. IFM (2018). Measuring the Digital Economy. Retrieved from: http://www.imf.org//media/Files/Publications/PP/2018/022818MeasuringDigitalEconomy .ashx, p. 2.
  • 9. Komisja Europejska (2018). Zalecenie Rady w sprawie kompetencji kluczowych w procesie uczenia się przez całe życie. Brussels COM (2018).
  • 10. Manyika, J., Chui, M. et al. (2017). A Future That Works: Automation, Employment, and Productivity. McKinsey Global Institute. Retrieved from: /paper/The-future-of-women-at- work%3A-transitions-in-the-age-MadgavkarManyika/c345d5f656d508e66454ef0f8983266 960b9988a.
  • 11. Ministerstwo Administracji i Cyfryzacji (2014). Społeczeństwo informacyjne w liczbach. Warszawa: Departament Społeczeństwa Informacyjnego.
  • 12. PricewaterhouseCoopers (2018). Will robots really steal our jobs? An international analysis of the potential long term impact of automation. Retrieved from: www.pwc.co.uk/economics.
  • 13. Śledziewska, K., Włoch, R. (2020). Gospodarka cyfrowa. Jak nowe technologie zmieniają świat. Warszawa: Wydawnictwa Uniwersytetu Warszawskiego.
  • 14. Strahl, D. (2006). Metody oceny rozwoju regionalnego, Wrocław: Wydawnictwo AE im O. Langego.
  • 15. Tarkowski, A., Majdecka, E., Penza-Gabler, Z., Sienkiewicz, M., Stunża, G.D. (2018). Analiza strategii i działań mających na celu rozwój kompetencji cyfrowych w państwach Unii Europejskiej. Warszawa: Fundacja Centrum Cyfrowe na zlecenie Centrum Projektów Polska Cyfrowa.
  • 16. Witczak-Roszkowska, D. (2020). The virtual dimension of socio-economic relations in european countries. Scientific Papers of Silesian University of Technology. Organization and Management, 146, pp. 509-522.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-16ec638e-9bd0-4e36-9dd9-d969f0dcfc36
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