Abstract

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. AcknowledgmentThe 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.

Highlights

  • Humanity is going through a transition to a new socio-economic reality, where a person will have to live in completely different conditions and need to act in accordance with completely different principles and laws

  • The implementation of three Industrial Revolutions simultaneously and the increased requirements for human capital’s cognitive and creative skills in connection with the development of artificial intelligence and the cyberization of socio-economic relations require an early transformation of the training and retraining system of human capital

  • Relatively few companies and enterprises realize the importance of using digital twins and augmented reality in training human capital in practice

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Summary

INTRODUCTION

Humanity is going through a transition to a new socio-economic reality, where a person will have to live in completely different conditions and need to act in accordance with completely different principles and laws. The reality dictates the need for critical changes in the education system based on total informatization, computer modeling, virtualization of the learning process, and artificial intelligence. These studies lack an analysis of transformation processes related to human capital reproduction and the formation of digital twins, which can be effectively used in learning processes. The study aims to formulate the directions of transformation of educational processes in line with modern industrial revolutions and to develop critical elements of learning processes. For this purpose, the nature and vectors of influence of three modern industrial revolutions (Industries 3.0, 4.0, and 5.0) on the socio-economic systems are revealed

BACKGROUND
Results
Trialectics modeling system of the digital twin
Modeling the social systems
Limitations
Findings
CONCLUSION
Full Text
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