IDEAS home Printed from https://ideas.repec.org/a/vrs/suvges/v33y2023i4p23-44n5.html
   My bibliography  Save this article

Analysis of Labor Market Transformation in the Context of Industry 4.0

Author

Listed:
  • Stryzhak Olena

    (Tourism Department, Simon Kuznets Kharkiv National University of Economics, Kharkiv, Ukraine)

Abstract

The digitalization of the economy and society in the context of Industry 4.0 affects the labor market. New jobs are being created with new personnel requirements. At the same time, digitalization processes affect countries and sectors of the economy in different ways. The number of employed is declining in some sectors and increasing in others. The ratio of people employed in different industries also differs from country to country. As the digitalization of production relations intensifies, transformation processes in the labor market will increase. In the context of the actualization of digital changes in modern society, the aim of the article is to analyze the labor market under the digitalization of economic relations. The World Development Indicators (WDI) and Digital Intelligence Index (DII) were used to realize the purpose of the study. The study covers 89 countries for 2019. Correlation analysis, standardization, cluster analysis and analysis of variance were used as methods in the research. As a result of the study, the following conclusions were obtained. A strong relationship was found between Gross Domestic Product (GDP) and DII for the whole sample. The cluster analysis process found that the variables form three clusters with values of most indicators by group: at the high, the average and the low levels. Plots of mean and confidence intervals for the variables in each cluster were also plotted. Correlation coefficients were calculated for each cluster. It was found that each group has its own internal patterns.

Suggested Citation

  • Stryzhak Olena, 2023. "Analysis of Labor Market Transformation in the Context of Industry 4.0," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 33(4), pages 23-44, December.
    • Handle: RePEc:vrs:suvges:v:33:y:2023:i:4:p:23-44:n:5
    DOI: 10.2478/sues-2023-0017
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/sues-2023-0017
    Download Restriction: no
    File URL: https://libkey.io/10.2478/sues-2023-0017?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
    ---><---

    References listed on IDEAS

    as
    1. Stefano Paternostro & Anand Rajaram & Erwin R. Tiongson, 2007. "How Does the Composition of Public Spending Matter?," Oxford Development Studies, Taylor & Francis Journals, vol. 35(1), pages 47-82.
    2. Richardson Kojo Edeme & Chigozie Nelson Nkalu & Innocent A. Ifelunini, 2017. "Distributional impact of public expenditure on human development in Nigeria," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 44(12), pages 1683-1693, December.
    3. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    4. Gómez-Plana Antonio G. & Latorre María C., 2019. "Digitalization, Multinationals and Employment: An Empirical Analysis of Their Causal Relationships," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(3), pages 399-439, June.
    5. Beier, Grischa & Matthess, Marcel & Shuttleworth, Luke & Guan, Ting & de Oliveira Pereira Grudzien, David Iubel & Xue, Bing & Pinheiro de Lima, Edson & Chen, Ling, 2022. "Implications of Industry 4.0 on industrial employment: A comparative survey from Brazilian, Chinese, and German practitioners," Technology in Society, Elsevier, vol. 70(C).
    6. Federica Costa & Alberto Portioli-Staudacher, 2021. "Labor flexibility integration in workload control in Industry 4.0 era," Operations Management Research, Springer, vol. 14(3), pages 420-433, December.
    7. Hana Stojanova & Barbora Lietavcova & Ivona Vrdoljak Raguž, 2019. "The Dependence of Unemployment of the Senior Workforce upon Explanatory Variables in the European Union in the Context of Industry 4.0," Social Sciences, MDPI, vol. 8(1), pages 1-9, January.
    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. Richardson Kojo Edeme & Chigozie Nelson Nkalu, 2019. "Public expenditure and human development in Nigeria in the last decade, composition and distributional impacts," Economics and Business Letters, Oviedo University Press, vol. 8(2), pages 62-73.
    2. Silvia Vannutelli & Sergio Scicchitano & Marco Biagetti, 2022. "Routine-biased technological change and wage inequality: do workers’ perceptions matter?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 409-450, September.
    3. Özköse, Hakan & Güney, Gül, 2023. "The effects of industry 4.0 on productivity: A scientific mapping study," Technology in Society, Elsevier, vol. 75(C).
    4. Luca Cattani & Stefano Dughera & Fabio Landini, 2023. "Interlocking complementarities between job design and labour contracts," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(2), pages 501-528, July.
    5. Jorge Martínez-Vázquez & Violeta Vulovic & Blanca Moreno Dodson, 2012. "The Impact of Tax and Expenditure Policies on Income Distribution: Evidence from a Large Panel of Countries," Hacienda Pública Española / Review of Public Economics, IEF, vol. 200(1), pages 95-130, March.
    6. Neffke, Frank & Nedelkoska, Ljubica & Wiederhold, Simon, 2024. "Skill mismatch and the costs of job displacement," Research Policy, Elsevier, vol. 53(2).
    7. Dan Lupu & Mihai Bogdan Petrisor & Ana Bercu & Mihaela Tofan, 2018. "The Impact of Public Expenditures on Economic Growth: A Case Study of Central and Eastern European Countries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(3), pages 552-570, February.
    8. Brauner, Philipp & Ziefle, Martina, 2022. "Beyond playful learning – Serious games for the human-centric digital transformation of production and a design process model," Technology in Society, Elsevier, vol. 71(C).
    9. 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.
    10. Romain Franck & Maud Dampérat, 2023. "Influence of sales support technologies on salesperson performance: A study of interpersonal and intrapersonal mediators [Influence des technologies d’aide à la vente sur les performances du commer," Post-Print halshs-04159504, HAL.
    11. Edward Batte Sennoga & John Mary Matovu, 2013. "Public Spending Composition in Uganda and its Implications for Growth and Poverty Reduction," Public Finance Review, , vol. 41(2), pages 227-247, March.
    12. World Bank, 2011. "Plurinational State of Bolivia : Agriculture Public Expenditure Review," World Bank Publications - Reports 12311, The World Bank Group.
    13. Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2024. "Two neglected origins of inequality: hierarchical power and care work," LEM Papers Series 2024/04, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    14. Eichhorst, Werner & Hemerijck, Anton & Scalise, Gemma, 2020. "Welfare States, Labor Markets, Social Investment and the Digital Transformation," IZA Discussion Papers 13391, Institute of Labor Economics (IZA).
    15. Mogues, Tewodaj & Ayele, Gezahegn & Paulos, Zelekawork & Fan, Shenggen, 2006. "How Effective is Public Spending? Public Investment Composition and Rural Welfare in Ethiopia," 2006 Annual meeting, July 23-26, Long Beach, CA 21258, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Byrd, William & Guimbert, Stephane, 2009. "Public Finance, Security, and Development: A Framework and an Application to Afghanistan," Policy Research Working Paper Series 4806, The World Bank.
    17. Dario Guarascio & Jelena Reljic & Roman Stollinger, 2023. "Artificial Intelligence and Employment: A Look into the Crystal Ball," LEM Papers Series 2023/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    18. Stöllinger, Roman & Guarascio, Dario, 2023. "Comparative advantages in the digital era–A Heckscher-Ohlin-Vanek approach," International Economics, Elsevier, vol. 175(C), pages 63-89.
    19. Lorenz Gschwent & Dario Guarascio & Stefan Jestl & Alireza Sabouniha & Roman Stöllinger, 2023. "Digital Tasks and ICT Capital: Methodologies and Data," wiiw Statistical Reports 11, The Vienna Institute for International Economic Studies, wiiw.
    20. Iris Claus & Jorge Martinez-Vazquez & VIoleta Vulovic, 2012. "Government Fiscal Policies and Redistribution in Asian Countries," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1213, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.

    More about this item

    Keywords

    digitalization; Industry 4.0; labor market;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • J40 - Labor and Demographic Economics - - Particular Labor Markets - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:vrs:suvges:v:33:y:2023:i:4:p:23-44:n:5. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.