Oleksandr Matsenko

The aim of the welfare state, in accordance with the Constitution of Ukraine is to ensure conditions for the growth of welfare of citizens. One of the major components in the well-being of civilized societies is to ensure that citizens and businesses the necessary energy. Energy development is the basis for enhancing the social and economic living standards of the population and competitiveness. The key to this goal should be a reliable, economically viable and environmentally sound needs of the population and the economy of energy products. It is important to identify the critical factors is a threat to the energy security of the national economy. The state of the energy sector of Ukraine is negatively affected by continued dependence on imports of Russian natural gas, petroleum products and fuel for power plants. Today such dependence on primary energy, including coal, has become a leverage to Ukraine on the part of the neighboring state. The loss of the fuel and energy complex, and areas for future development of hydrocarbon resources as a result of the annexation of the Crimea and the military operations in the east of the country, as well as the destruction of the oil and gas infrastructure in the Donetsk and Luhansk regions, yielded additional new factors which significantly weakened the energy security of the country. Given the instability of strategic task for Ukraine, it is vital to achieve the highest possible level to ensure the economy’s own oil and gas resources, which, to a certain extent, will contribute to energy independence and savings of foreign exchange reserves of the country, as well as infrastructure development in the industry, tax revenues, creation of additional jobs.

The development of human civilization is related to the constant change of economic formations, and the current social and economic situation is determined by such concepts as Society 5.0, Fourth, and Fifth Industrial Revolutions (FIR, FiIR). The paper aims to estimate the change of human role in each economic formation caused by industrial revolutions. A structured review methodology with a focus on biological, labor, and personal entity of human within the industrial revolutions is used. The description of the changes between the biological, labor, and personality entities of human in various socio-economic formations is discussed. The human as a biological entity is not changed in the first four industrial revolutions, while the FiIR tries to change the biological entity through augmenting the physical capacity. The human as a labor entity is not changed in the first three industrial formations, while the FIR tries to replace the majority of physical human jobs and opens the gate for creative economy and decisions-making. The direct labor participation is minimized within FIR since the economic systems move to the transition to the dominant role of cyber-physical systems. The personal human development is triggered within the FiIR, since informational diversity in economic systems is actualized, and conditions for creative jobs within the creative economy are formed. The biological, labor, and personality entities of human are sequentially actualized within the economic formation caused by industrial revolutions.

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.

The disruptive technologies and cyber-physical production systems are important factors that bring transformations to socio-economic formations. The paper aims to formulate the content, key directions, positive and negative effects of additive economy (AE) in the current transition phase to Industry 4.0. The research method is based on the analysis of structural links in socio-economic systems, where the additive economy potential is realized. The additive economy is treated as a new approach to production technological aspect based on the additive principle of manufacturing and aimed at minimizing the use of primary natural resources for dematerialization of social production. AE is the antithesis of the subtractive economy, which dominates today and uses only a tiny proportion of extracted natural resources. Among the positive effects of AE, there are the reduction in energy intensity of products, dematerialization of production, solidarity of society, economic systems sustainability, and intellectualization of technologies and materials. Among the negative expectations of AE, there are increased information vulnerability of production, risk of losing control over cyber-physical systems, expanding the unification of individuals, and increasing psychological stress. The additive economy is more sustainable than the subtractive economy since it does not require extra components to the production spheres, reduces the resource scarcity, and could satisfy more economic agents’ needs. Therefore, improved production efficiency due to AE promises economic growth acceleration, environmental burden and social risk reduction.

Acknowledgment
The publication was prepared in the framework of the research projects “Sustainable development and resource security: from disruptive technologies to digital transformation of Ukrainian economy” (№ 0121U100470); Fundamental bases of the phase transition to an additive economy: from disruptive technologies to institutional sociologization of decisions (No. 0121U109557).

Innovative projects can be very costly, and making mistakes in their implementation can be expensive for organizations and investors. Therefore, appropriate procedures are needed to minimize the likelihood of such errors, facilitate strategic decision-making, and optimize investments. This paper presents a methodology for assessing the viability and potential of cryptocurrency and blockchain projects based on evaluating individual project components and synthesizing these assessments.
The proposed approach suggests considering a project as a collection of individual components with clear metrics that can be assessed; various assessments of these metrics are introduced. As a result, a project manager or investor assigns ratings to its metrics when analyzing several projects and then calculates a final assessment for each project. A project manager can determine the most promising project by comparing the reviews of several projects.
This methodology stands out for its simplicity and clarity, and a significant advantage is its reliance on only publicly available data. This approach can be applied as the first step in making investment decisions regarding a specific project when working with investment funds or launchpads, for example.

Acknowledgment
The paper is prepared within the scientific research project “Fundamentals of the phase transition to the additive economy: From disruptive technologies to institutional socialization of decisions” (№ 0121U109557), funded by the general fund of the state budget of Ukraine.