The relevance of the article is related to the phenomenon of quasi-viral technologies, which are the drivers of the phase transition to sustainable development. The study is aimed at defining the category “quasi-viral emerging technology”, as well as the disclosure of their content and form, and the analysis of the features in the conditions of digital transformations. The research method is based on the analysis of transformational changes in the components of the trialectic mechanism of the reproduction of socio-economic systems, which occur under the influence of quasi-viral sustainable technologies. The article defines the quasi-viral process of spreading emerging technologies as a transformational process of the informational component replacement within the technological base by methods imitating the course of viral infection. The signs of quasi-viral processes are formulated on several levels: “infection” due to a change in the information algorithm; substantial user preferences; lack of sufficient barriers; significant potential to increase users; and disruptive efficiency. Signs of quasi-viral technologies have the following types of innovations: renewable energy, 3D printing, electric transport, energy storage, IT technologies, digital recording of information, cloud technologies, etc. The authors hypothesize the possibility of using entropy estimates as the only measure of approximating the results of the implementation of quasi-viral technologies to the state of sustainability in society and nature. The expected results of the spread of quasi-viral technologies can be significant dematerialization of industrial metabolism, provision of functions of self-organization and self-improvement of social systems, preservation of biodiversity and ecosystems of the planet, and formation of the foundations of sustainable development.

The modern industrial revolutions have significantly influenced social and political landscapes, prompting critical inquiries into the security and integrity of socio-economic systems, particularly in the context of military confrontation. This paper investigates the role of disruptive technologies associated with Industries 3.0, 4.0, and 5.0 in safeguarding socio-economic systems amid the ongoing russian war against Ukraine. The paper highlights how modern technologies have bolstered system resilience and adaptability by examining progress in green energy, transport transition, and the development of digital infrastructure and services before the war. Green energy and transport technologies have been instrumental in decentralization, energy networking, compensating for energy losses, and mitigating disruptions caused by the war. The proliferation of electric vehicles and the expansion of charging infrastructure have significantly reduced the potential impact of aggression, facilitating evacuations and supporting essential services during fuel shortages. Digital technologies have played a crucial role in ensuring continued access to education, employment, and communication, thereby strengthening societal resilience and reinforcing human capital, a key factor in socio-economic system security. This marks a shift from a technocratic to a system-synergistic, human-centered security model, where human capital becomes a core determinant of resilience, and technologies evolve from mere tools into integral elements of a sustainable socio-economic structure. Nevertheless, challenges related to technological dependencies, such as supply chain vulnerabilities and cyber threats, require further investigation in future research.

The interaction of humans with artificial intelligence and cyber-physical systems opens the way to understanding the role of humans in modern industrial ecosystems. The research purpose is to examine the roles and functions of humans in implementing Industry 5.0 through the analysis of personality transformations in social and labor entities. A structured review methodology that synthesizes existing research on Industry 5.0 as a human-centric direction using systematic and transparent procedures (framing the question, identifying relevant publications in the Scopus database, summarizing the evidence, and interpreting the findings) is used. Within Industry 5.0, the physiological needs of a bio-human (needs for food, water, living conditions, etc.) and the technocratic interests of a labor-human (the desire to earn money, career growth, prestige, etc.) are overwhelmed in terms of time and effort by the socio-human personality needs (intellectual development, the realization of creative abilities, and obtaining knowledge). In complex technical tasks and strategic decision-making processes, humans continue to play a key role, emphasizing that full automation is not possible in all areas, and a human-centric approach remains the basis of production systems. Among the key personality skills needed for Industry 5.0 are analytical and creative thinking, the ability to design technology, critical thinking, ability to solve complex problems, leadership skills, emotional intelligence, and generating new ideas. Industry 5.0 promotes the consumption of mainly information and services dictated by the informational (spiritual) nature of the personality and relatively depresses the use of materials and services, dictated by the material nature of the human-bio.

The significance of green economic growth opens up a new space for studying cyclical development processes, raising the issue of coexistence between sustainable development and the cyclical features of economic growth. The purpose of this study is to identify statistically significant relationships between cyclical components (fluctuations) of economic growth and environmental consequences within national economic systems. The paper utilizes Hodrick–Prescott and Butterworth bandpass filters to detrend dynamic series of ecological and economic development, highlighting cyclical components (fluctuations) that are analyzed for the presence of correlation in the referenced and lag periods (to identify procyclical and lag dynamics). The analysis uses statistical data from the World Bank for Ukraine and Hungary for 1991–2022. The results prove that for Ukraine with an increase in the cyclical component of GDP per capita there is a cyclical increase in pollution indicators, according to the Butterworth filter for NOx emissions from industrial combustion (correlation coefficient 0.72), F-gases emissions from industrial processes (correlation coefficient 0.77), CO2 emissions excluding LULUCF (correlation coefficient 0.70). The situation with Hungary is different, and the business cycle is not correlated with pollution fluctuations. The paper does not find a statistically significant relationship between the business cycle and fluctuations in methane (CH4) emissions from waste (Mt CO2e). Overall, most economic and environmental components are procyclical in nature, with the strongest correlation in the reference period for a developing industrial economy (Ukraine). In contrast, there is no such link within a more developed economy (Hungary).