Transformation of the human capital reproduction in line with Industries 4.0 and 5.0

  • Received May 3, 2021;
    Accepted July 1, 2021;
    Published July 5, 2021
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/ppm.19(2).2021.38
  • Article Info
    Volume 19 2021, Issue #2, pp. 480-494
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This work is licensed under a Creative Commons Attribution 4.0 International License

The study’s relevance relates to the transformation of the human capital reproduction during the transition to a new socio-economic model and changes (digitalization, cyberization, customization, etc.) that are now taking place within Industries 4.0 and 5.0. The purpose of the study is to formulate the content and key directions of learning processes based on modeling and the formation of digital twins for the production and consumption of goods. The research method is based on the analysis of structural links in socio-economic systems, where the potential of human capital is realized. The study describes a trialectic model for the system development mechanism, which gives grounds to distinguish three types of essential components of implementing the specialists’ competencies (material, information, and communication). Based on the concept of “system of systems”, the necessity of multifunctional training of specialists for socio-economic systems is substantiated and shown on the list of personal knowledge/skills in the renewable energy sector. Recent trends in the reproduction of human capital, such as intellectualization, increased communication, internationalization, acquisition of skills, customization, and communication with consumers, are stated in line with Industries 4.0 and 5.0. The potential for future research is aimed at harmonizing relations between humans and cyber-physical systems, motivating the needs for self-development, and using disruptive technologies in the reproduction of human capital.

Acknowledgment
The publication contains the results of research of the European Commission grants “Jean Monnet Chair in EU Economic Policies and Civil Society” (619878-EPP-1-2020-1-UA-EPPJMO-CHAIR) and EU legislative, economic and social transition to sustainable society within Industry 4.0 and 5.0 (619997-EPP-1-2020-1-UA-EPPJMO-CHAIR).
The paper is prepared within the scientific research projects “Sustainable development and resource security: from disruptive technologies to digital transformation of Ukrainian economy” (No. 0121U100470) and “Fundamentals of the phase transition to the additive economy: from disruptive technologies to institutional socialization of decisions” No. 0121U109557), funded by the general fund of the state budget of Ukraine.

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    • Figure 1. Key vectors of education transformation in the context of current industrial revolutions (Industries 3.0, 4.0, 5.0)
    • Figure 2. Directions of modeling key processes of system reproduction and their simulation in education
    • Figure 3. Conditional scheme of the reproduction mechanism of the principal block of the “system of system” for a social-economic structure
    • Figure 4. Examples of DT application in industries
    • Figure 5. Ten critical work skills projected for 2022
    • Table 1. Types of digital twins depending on the functions performed
    • Table 2. Main blocks (subsystems) of “systems of systems”
    • Table 3. List of selected future green knowledge and skills/competencies for the renewable energy sector
    • Table 4. The average likelihood of work automation across industries during Industry 4.0
    • Conceptualization
      Leonid Melnyk
    • Investigation
      Leonid Melnyk, Oleksandr Matsenko
    • Methodology
      Leonid Melnyk, Oleksandr Matsenko
    • Supervision
      Leonid Melnyk
    • Writing – original draft
      Leonid Melnyk
    • Data curation
      Oleksandr Kubatko, Oleksandr Matsenko, Yevgen Balatskyi
    • Formal Analysis
      Oleksandr Kubatko, Yevgen Balatskyi, Kostyantyn Serdyukov
    • Funding acquisition
      Oleksandr Kubatko, Kostyantyn Serdyukov
    • Project administration
      Oleksandr Kubatko, Kostyantyn Serdyukov
    • Writing – review & editing
      Oleksandr Kubatko, Yevgen Balatskyi
    • Resources
      Oleksandr Matsenko, Kostyantyn Serdyukov
    • Software
      Oleksandr Matsenko, Yevgen Balatskyi
    • Validation
      Oleksandr Matsenko, Kostyantyn Serdyukov
    • Visualization
      Oleksandr Matsenko, Yevgen Balatskyi