Svitlana Tarasenko

Due to the full-scale war of Russia against Ukraine in 2022, extreme danger and vulnerability have caused changes in the social and economic stability of a person both on the individual and at the family level, in various social groups, as well as in territorial communities. Thus, the study aims to investigate the sources of social and economic resilience of Ukraine’s population during the war in the context of developing a social solidarity economy in Ukrainian society to maintain fragile stability. The paper investigates the main reasons for the displacement of Ukrainians, explores the living conditions in communities where they moved, and identifies the main socioeconomic factors for ensuring the resistance of the individual and the community in wartime. The paper applies the sociological survey involving 1,200 respondents. The results show that Ukrainians recognize the authority’s right to make authoritarian decisions. The analysis gives empirical evidence on the sources of social and economic resistance and sustainability in Ukraine. This includes quantifying the role of social and financial payments, examining the intensification of social and solidarity ties, and evaluating the importance of a social solidarity economy for resilience. The study revealed the directions of supporting stability within the social solidarity economy in Ukraine under war conditions. They include incentive programs for returning qualified personnel, powerful tools of social support, encouraging socially-oriented small businesses, remote employment, state and local programs to support public organizations, and financing local initiatives.

Acknowledgments
The publication was prepared within the project Jean Monnet Module “Social Solidarity Economy: implementing EU experience for Sustainable Development” (SSExpEU-101047518-GAP-101047518) (2022–2025), funded by the European Union.

Policymakers, educators, and businesses must develop artificial intelligence-related initiatives and strategies to effectively engage and benefit the population. The study aims to evaluate awareness and readiness to utilize artificial intelligence by the adult population of Ukraine in 2022. The paper employed a questionnaire consisting of two sets of questions: 1) awareness of artificial intelligence and 2) readiness to use artificial intelligence. A total of 806 respondents were interviewed via an online survey. The margin of error does not exceed 5%. The results indicate that while Ukrainians have a generally positive view of artificial intelligence, they remain skeptical about the prospect of robots functioning as workplace partners. The majority find it difficult to envision collaborating with a robot in a professional setting (only 36.9% of Ukrainians are ready to work with a robot). The survey highlights that the primary benefits of AI products and services valued by Ukrainians include timesaving, increased comfort, and enhanced service accessibility. Ukrainian men demonstrate a greater degree of commitment and awareness of artificial intelligence products/services than Ukrainian women. Young people are the most informed age group about artificial intelligence products/services. Residents of the western regions indicate a more significant impact of artificial intelligence on the present, unlike respondents from the eastern regions of Ukraine.

Acknowledgment
This research was funded by a grant “Restructuring of the national economy in the direction of digital transformations for sustainable development” (№0122U001232) from National Research Foundation.

One of the main challenges in higher education management is the complexity of resource optimization and increasing volumes of data, which limits the efficiency and accuracy of decision-making. The application of artificial intelligence can address these issues.
The present study aims to identify the key trends, knowledge gaps, and opportunities for further research into the economic effects of using artificial intelligence and ChatGPT tools in higher education. For this purpose, a systematic literature review was conducted to identify and screen the scientific articles related to the topic of this study indexed in Web of Science and Scopus from 1986 to 2024. A total of 234 articles were selected, all demonstrating positive growth both in scholarly output and citation count. The study identified the key contributors to scientific research on this topic by region (the United States, China, and India). It concluded that the relevant research centers are still at an early stage of their development. Based on bibliometric clusters formed by co-occurrence relations, three main areas of research were defined: 1) artificial intelligence in education for decision-making; 2) process automation and digital transformation in educational institutions; 3) artificial intelligence technologies and their application in education.
The study highlights the main areas of economic effects of artificial intelligence and ChatGPT tools in higher education, including reducing administrative costs, saving time for teachers and students, and improving the quality and accessibility of educational process.

Acknowledgments
The publication is part of the research topic “Economic Basics of Technology Diffusion into the National Economy of Ukraine Considering Best International Practices” (№0124U003482).

In the context of digital transformation, the education sector needs innovative solutions to ensure continuity and quality of the learning process amidst contemporary challenges. One solution is using cloud technologies, which allow for the virtualization and replication of key institutional processes, from academic programs to campus operations. In this regard, this article aims to identify the challenges associated with the concept of cloud universities and their impact on the resilience of higher education. A science mapping analysis is conducted based on the most relevant scientific papers indexed in the international Scopus database from 2000 to 2024 using Scopus and SciVal built-in tools and the Science Mapping Analysis Tool. The results show a significant increase in the number of studies, especially within the fields of Computer Science and Social Sciences, dedicated to the use of cloud services and technology in education, with a growing focus on “digital twins”. The application of science mapping tools revealed key trends in research development, which evolved from the development and optimization of cloud infrastructure and difficulties of technological usage and the adoption of new technologies by users to the deep integration of various technologies into the educational process, exploring their reception by students and teachers, as well as the effectiveness of these initiatives. The analysis identified key challenges cloud universities face, such as the need for reliable technical infrastructure, adherence to cybersecurity standards, preparing educators and students for working with new technologies, financial costs of implementing cloud technologies, and ensuring academic integrity.

Acknowledgments
The publication was part of the Erasmus+ project “Disaster Resilience in Higher Education Systems via a Cloud University Model” (project number 2O24-1-AT01-KA220-HED-000249632).