Expectations and Challenges in the Labour Market in the Context of Industrial Revolution 4.0. The Agglomeration Method-Based Analysis for Poland and Other EU Member States

Piątkowski, Marcin J. (2020): Expectations and Challenges in the Labour Market in the Context of Industrial Revolution 4.0. The Agglomeration Method-Based Analysis for Poland and Other EU Member States. Published in: Sustainability , Vol. 13, No. 12 (July 2020): pp. 1-30.

Abstract

Technological revolution brings forth major changes in the labour market as well as the necessity to adapt to the shifting conditions on the part of both employees and entrepreneurs. This notion fits in with the European Policy of “Lifelong Learning” which presents the necessity to constantly improve skills and participate in the process of learning through the entire period of professional engagement. The aim of the article is to diagnose the current situation in the labour market and expectations towards employees as a result of the technological revolution and digitization, and to analyze whether there are groups of countries in the EU with similar features describing the labour market and to present the differences between these groups. The study uses research methods based on literature research, content analysis and comparative analysis, and the empirical part uses cluster analysis – the Ward method, using secondary statistical data from the Eurostat database. It was verified which groups of the Member States exhibited similarities to the extent of: forms of employment; work productivity; commitment of entrepreneurs and employees to the process of continuing vocational training (CVT) and lifelong learning; educating future employees of the economy at the level of higher education (HE) in STEM fields and development of digital skills as well as commitment of governments of each EU Member State to financing research and development in higher education institutions (HEIs). It may be ascertained that the average values of variables describing the pattern followed by “new” Member States which joined the EU in 2004 or later are, in majority, lower than the values of the same variables describing the pattern followed by the ”old” Member States. It cannot be unambiguously stated that the affiliation with the Eurozone in any way determined whether a given group of Member States is better or worse than the other. The resulting figures may become significant at the stage of developing the employment policy as well as the education policy and the professional career development policy in the respective Member States. Those results may be applied to both evaluation and planning of actions to be taken against the background of the development strategy in order to reduce clearly visible inequalities between the European Union Member States.

• Item Type: MPRA Paper
• Language: English
• Keywords: labour market; labor market; employment; Industry 4.0; cluster analysis; lifelong learning; employee competences; enterprises; Continuing Vocational Training; CVT; STEM; digital skills; precarious employment; higher education; employment policy; inequalities; Poland; European Union
• Subjects: C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C38 - Classification Methods ; Cluster Analysis ; Principal Components ; Factor Models; I - Health, Education, and Welfare > I2 - Education and Research Institutions > I23 - Higher Education ; Research Institutions; J - Labor and Demographic Economics > J0 - General; J - Labor and Demographic Economics > J0 - General > J01 - Labor Economics: General; J - Labor and Demographic Economics > J1 - Demographic Economics > J11 - Demographic Trends, Macroeconomic Effects, and Forecasts; J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J24 - Human Capital ; Skills ; Occupational Choice ; Labor Productivity; J - Labor and Demographic Economics > J4 - Particular Labor Markets > J40 - General; O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O52 - Europe; O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O57 - Comparative Studies of Countries

References

1. Kagermann, H. Chancen von Industrie 4.0 nutzen. In Industrie 4.0 in Produktion, Automatisierung und Logistik; Bauernhansl, T., ten Hompel, M., Vogel-Heuser, B., Eds.; Springer Vieweg: Wiesbaden, Germany, 2014; pp. 603–614.

2. Dean, M.; Spoehr, J. The fourth industrial revolution and the future of manufacturing work in Australia: Challenges and opportunities. Labour Ind. J. Soc. Econ. Relat. Work 2018, 28, 166–181.

3. Bercovici, E.G.; Bercovici, A. Israeli labor market and the Fourth Industrial Revolution. Amfiteatru Econ. 2019, 21, 884–895.

4. Whysall, Z.; Owtram, M.; Brittain, S. The new talent management challenges of Industry 4.0. J. Manag. Dev. 2019, 38, 118–129.

5. Piwowar-Sulej, K. Human resource management in the context of Industry 4.0. Organ. Manag. Sci. Q. 2020, 1, 103–113.

6. Da Silva, V.L.; Kovaleski, J.L.; Pagani, R.N.; Silva, J.D.M.; Corsi, A. Implementation of Industry 4.0 concept in companies: Empirical evidences. Int. J. Comput. Integr. Manuf. 2020, 33, 325–342.

7. Zhou, K.; Liu, T.; Zhou, L. Industry 4.0: Towards future industrial opportunities and challenges. In Proceedings of the 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Zhangjiajie, China, 10 February 2015; pp. 2147–2152. doi:10.1109/FSKD.2015.7382284.

8. Ślusarczyk, B. Selected results of introducing the Industry 4.0 concept in enterprises. Organ. Rev. 2019, 1, 4–10.

9. Rao, S.K.; Prasad, R. Impact of 5G technologies on smart city implementation. Wirel. Pers. Commun. 2018, 100, 161–176.

10. Niedbał, R.; Wrzalik, A.; Sokołowski, A. Fourth Industrial revolution as a challenge to maintain enterprise competitiveness. J. Mark. Mark. Stud. 2017, 7, 557–570.

11. Piątkowski, M.J. The role of IT management systems in enterprise development and building a competitive position (Rola informatycznych systemów do zarządzania w rozwoju przedsiębiorstwa i budowaniu pozycji konkurencyjnej). In Problems of Increasing the Competitiveness of Enterprises (Problemy Wzrostu Konkurencyjności Przedsiębiorstw); Zieliński, K., Ed.; PWN: Warszawa, Poland, 2015; pp. 79–86.

12. Gracel, J.; Makowiec, M. Core competencies of managers in the fourth industrial revolution (Industry 4.0). Acta Univ. Nicolai Copernici Zarządzanie 2017, 44, 105–129. http://dx.doi.org/10.12775/AUNC_ZARZ.2017.054.

13. Olender-Skorek, M. The fourth industrial revolution and some economic theories. Soc. Inequal. Econ. Growth 2017, 51, 38–49.

14. Pereira, A.C.; Romero, F. A review of the meanings and the implications of the Industry 4.0 concept. Procedia Manuf. 2017, 13, 1206–1214.

15. Bagieńska, A. Measurement and analysis of the efficiency of human capital in a small enterprise in Poland. Financ. Internet Q. 2015, 11, 1–9.

16. Firlej, K.A. Objectives and directions of employment restructuring in the company. J. Manag. Financ. 2013, 1, 195–208.

17. Kurz, C. Industrie 4.0 verändert die arbeitswelt. gewerkschaftliche gestaltungsimpulse für “bessere” arbeit. In Identität in der Virtualität. Einblicke in Neue Arbeitswelten und “Industrie 4.0”; Schröter, W., Ed.; Talheimer Verlag: Mössingen, Germany, 2014; pp. 106–111.

18. Windelband, L. Zukunft der facharbeit im zeitalter: Industrie 4.0. J. Tech. Educ. 2014, 2, 138–160.

19. Bendkowski, J. The impact of industry 4.0 on production work. Sci. Pap. Sil. Univ. Technol. Organ. Manag. Ser. 2017, 112, 21–33.

20. Arntz, M.; Gregory, T.; Zierahn, U. The risk of automation for jobs in OECD countries: A comparative analysis. OECD Soc. Employ. Migr. Work. Pap. 2016, 189, 1–34.

21. Rüßmann, M.; Lorenz, M.; Gerbert, P.; Waldner, M.; Justus, J.; Engel, P.; Harnisch, M. Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consult. Group 2015, 9, 54–89.

22. Hirsch-Kreinsen, H. Wandel von Produktionsarbeit—Industrie 4.0; Technische Universität Dortmund: Dortmund, Germany, 2014; Volume 38.

23. Hawksworth, J.; Berriman, R.; Cameron, E. Will Robots Really Steal our Jobs? An International Analysis of the Potential Long Term Impact of Automation; PricewaterhouseCoopers: London, UK, 2018.

24. Ganschar, O.; Gerlach, S.; Hämmerle, M.; Krause, T.; Schlund, S. Produktionsarbeit der Zukunft—Industrie 4.0; Spath, D., Ed.; Fraunhofer Verlag IAO: Stuttgart, Germany, 2013.

25. Frey, C.B.; Osborne, M.A. The future of employment: How susceptible are jobs to computerisation? Technol. Forecast. Soc. Chang. 2017, 114, 254–280.

26. Jagannathan, S.; Ra, S.; Maclean, R. Dominant recent trends impacting on jobs and labor markets—An Overview. Int. J. Train. Res. 2019, 17, 1–11.

27. Pietrulewicz, B.; Łosyk, H. Social and education problems at the working space in the fourth-generation industry context. Probl. Prof. 2018, 2, 69–77.

28. Kergroach, S. Industry 4.0: New challenges and opportunities for the labour market. Foresight STI Gov. 2017, 11, 6–8.

29. Infuture Hatalska Foresight Institute. Employee of the Future; Infuture Hatalska Foresight Institute: Gdańsk, Poland, 2019.

30. Vuorikari, R.; Punie, Y.; Gomez, S.C.; Van Den Brande, G. DigComp 2.0: The Digital Competence Framework for Citizens. Update Phase 1: The Conceptual Reference Model; Joint Research Centre: Luxembourg, 2016.

31. Annunziata, M.; Bourgeois, H. The future of work: How G20 countries can leverage digital-industrial innovations into stronger high-quality jobs growth. Econ. Open Access Open Assess. E J. 2018, 12, 1–23.

32. Ministry of Technology and Entrepreneurship/Simens. Smart Industry Poland 2019. Engineers in the Era of the Fourth Industrial Revolution. Research Report; Ministry of Technology and Entrepreneurship/Simens: Warszawa, Poland, 2019.

33. Chovancova, B.; Dorocakova, M.; Malacka, V. Changes in industrial structure of GDP and stock indices also with regard to the Industry 4.0. Bus. Econ. Horiz. 2018, 14, 402–414.

34. World Economic Forum. The Future of Jobs. Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution; OECD Employment Outlook; World Economic Forum: Geneva, Switzerland, 2016.

35. Wolter, M.I.; Mönnig, A.; Hummel, M.; Schneemann, C.; Weber, E.; Zika, G.; Helmrich, R.; Maier, T.; Neuber-Pohl, C. Industry 4.0 and the Consequences for Labour Market and Economy. Scenario Calculations in Line with the BIBB-IAB Qualifications and Occupational Field Projections; Institute for Employment Research: Nuremberg, Germany, 2015.

36. Bughin, J.; Hazan, E.; Lund, S.; Dahlström, P.; Wiesinger, A.; Subramaniam, A. Skill Shift: Automation and the Future of the Workforce; McKinsey Global Institute: Brussels, Belgium, 2018.

37. Noonan, R. STEM Jobs: 2017 Update; US Department of Commerce: Washington, WA, USA, 2017.

38. Dolot, A. The characteristics of Generation Z. E Mentor 2018, 2, 44–50.

39. Burksaitiene, D.; Jegelavičiūtė, R.; Grenčíková, A.; Krajčo, K.; Sokol, J. Economic indicators paradigm on the labour market in Lithuania and Slovakia. Eng. Econ. 2019, 30, 612–620.

40. Martínez-Morales, I.; Marhuenda-Fluixá, F. Vocational education and training in Spain: Steady improvement and increasing value. J. Vocat. Educ. Train. 2020, doi:10.1080/13636820.2020.1729840.

41. Weber, E. Industry 4.0: Job-Producer or Employment-Destroyer?; Aktuelle Berichte: Nuremberg, Germany, 2016.

42. Kenney, M.; Zysman, J. The rise of the platform economy. Issues Sci. Technol. 2016, 32, 61–69.

43. Manyika, J.; Lund, S.; Robinson, K.; Valentino, J.; Dobbs, R. A Labor Market That Works: Connecting Talent with Opportunity in the Digital Age; McKinsey Global Institute: San Francisco, CA, USA, 2015.

44. Bombiak, E. Flexibility and stabilization—Employment policy dilemmas in contemporary organizations. J. Mark. Mark. Stud. 2016, 3, 50–59.

45. Piątkowski, M.J. Flexible forms of employment in achieving the objectives of the company. Manag. Financ. Mark. Probl. 2011, 22, 127–134.

46. Baron-Puda, M. The paradigm of functional flexibility in personnel policy of a company with unit production. Enterp. Manag. 2019, 22, 2–10.

47. Piórkowska-Wojciechowska, K. The employment flexibility in the context of employee loyalty creation. Res. Pap. Wrocław Univ. Econ. 2006, 1141, 265–271.

48. Górska, J. Alternative forms of employment—Possibilities and limitations. Res. Pap. Pozn. Univ. Econ. 2001, 6, 169–181.

49. Piątkowski, M.J. The importance of employment forms in the functioning of the enterprises. Econ. Probl. Serv. 2011, 73, 431–442.

50. Brzeziński, A. Flexible forms of employment and their frequency range. Research Reviews of Czestochowa University of Technology MANAGEMENT. 2017, 28, 194–207. doi:10.17512/znpcz.2017.4.1.15,

51. Guzikowski, M. Advisability of implementing flexicurity in Poland. Optim. Econ. Stud. 2016, 1, 135–148.

52. OECD. Going Digital: The Future of Work for Women. Policy Brief on The Future of Work; OECD: Paris, France, 2017.

53. Ćwiek, M. Digital divide in Poland and in the European Union. Econ. Probl. Serv. 2018, 2, 217–224.

54. Prieto, J.S.; Torres, J.M.T.; García, M.G.; García, G.G. Gender and digital teaching competence in dual vocational education and training. Educ. Sci. 2020, 10, 1–12.

55. European Commission. Towards Common Principles of Flexicurity: More and Better Jobs through Flexibility and Security; Office for Official Publications of the European Communities: Luxembourg, 2007.

56. Auer, P.; Chatani, K. Flexicurity: Still going strong or a victim of crisis? In Research Handbook on the Future of Work and Employment Relations; Townsend, K., Wilkinson, A., Eds.; Edward Elgar Publishing: Northampton, UK, 2011; pp. 253–278.

57. Ciuca, V.; Pasnicu, D.; Son, L.; Sipos, C.; Iordan, M. The Romanian flexicurity—A response to the European labour market needs. Rom. J. Econ. Forecast. 2009, 10, 161–183.

58. Laporšek, S.; Dolenc, P. The analysis of flexicurity in the EU members states. Transylv. Rev. Adm. Sci. 2011, 7, 125–145.

59. Storey, J.; Quintas, P.; Taylor, P.; Fowle, W. Flexible employment contracts and their implications for product and process innovation. Int. J. Hum. Resour. Manag. 2002, 13, 1–18.

60. European Commission. Regional Innovation Scoreboard 2019; Office for Official Publications of the European Communities: Luxembourg, 2019.

61. UNDP. Human Development Report 2019; UNDP: New York, NY, USA, 2019.

62. IMD. IMD World Digital Competitiveness Ranking 2019; IMD: Lausanne, Switzerland, 2019.

63. Cedefop. Skills Supply and Demand in Europe; Cedefop: Luxembourg, 2010.

64. UNESCO. 4th Global Report on Adult Learning and Education (GRALE); UNESCO: Hamburg, Germany, 2019.

65. Cedefop. Vocational Education and Training in Europe, 1995–2035: Scenarios for European Vocational Education and Training in the 21st Century; Cedefop: Luxembourg, 2020.

66. Steczkowski, J. A Representative Method in the Study of Economic and Social Phenomena. (Metoda Reprezentacyjna w Badaniach Zjawisk Ekonomiczno-Społecznych); Wydawnictwo Naukowe PWN: Warszawa, Poland, 1995.

67. Serafin, R.; Luściński, S. Normalization of delivery assessment criteria in supply systems (Normalizacja kryteriów oceny dostaw w systemach zaopatrzenia). In Innovations in Production Management and Production Engineering (Innowacje w Zarządzaniu i Inżynierii Produkcji); Knosala, R., Ed.; Oficyna Wydawnicza PTZP: Opole, Poland, 2016; pp. 1010–1021.

68. Zeliaś, A. (Ed.); Taxonomic Analysis of Spatial Diversity of Living Standards in Poland in a Dynamic Approach (Taksonomiczna Analiza Przestrzennego Zróżnicowania Poziomu Życia w Polsce w Ujęciu Dynamicznym); Wyd. Akademii Ekonomicznej: Kraków, Poland, 2000.

69. Ward, J.H., Jr. Hierarchical grouping to optimize an objective function. J. Am. Stat. Assoc. 1963, 58, 236–244.

70. Zivadinovic, N.K.; Dumicic, K.; Casni, A.C. Cluster and factor analysis of structural economic indicators for selected European countries. WSEAS Trans. Bus. Econ. 2009, 6, 331–341.

71. Yim, O.; Ramdeen, K.T. Hierarchical cluster analysis: Comparison of three linkage measures and application to psychological data. Quant. Methods Psychol. 2015, 11, 8–21.

72. European Commission. Europe 2020: The European Union Strategy for Growth and Employment; Office for Official Publications of the European Communities: Brussels, Belgium, 2010.

73. Handy, C. Understanding Organizations; Oxford University Press: New York, NY, USA, 1993.

74. Atkinson, J. Manpower strategies for flexible organisations. Pers. Manag. 1984, 8, 28–31.

75. Taylor, S. Employment Variability. How to Keep Employees in the Company. (Płynność Zatrudnienia. Jak Zatrzymać Pracowników w Firmie); Wolters Kluwer: Kraków, Poland, 2006.

76. Król, M. Employment forms diversification and the social inequality. Soc. Inequal. Econ. Growth 2015, 2, 367–377.

77. Czaja, I.; Urbaniec, M. Digital exclusion in the labour market in European countries: Causes and consequences. Eur. J. Sustain. Dev. 2019, 8, 324–336.

78. Pagani, L.; Argentin, G.; Gui, M.; Stanca, L. The impact of digital skills on educational outcomes: Evidence from performance tests. Educ. Stud. 2016, 42, 137–162.

79. European Commision. DESI 2019—Human Capital—Digital Inclusion and Skills; Office for Official Publications of the European Communities: Brussels, Belgium, 2019.