One of the brightest phenomena of recent years in the labor market has become “quiet quitting”. It has been described in Russian and foreign publications. At the same time, this subject is poorly covered in the Russian scientific literature. The purpose of this study is to analyze the phenomenon of “quiet quitting” as a trend in the modern labor market, to summarize the theoretical provisions of this. Thus, this article defines “quiet quitting” as a form of employee behavior with low engagement and focus on performing the required minimum of work duties. The author emphasizes that although the nature of this phenomenon is not new, it has become widespread in recent years, largely due to several reasons, both inside the organization (corporate culture, quality of management, etc.) and outside it. Since “quiet quitting” became widespread in the post-pandemic period, the study pays special attention to the impact of the pandemic that catalyzed it. In addition, it reveals the generational characteristics of attitudes to work and career, and explains the propensity to “quiet quitting” of young people. The author concludes that “quiet quitting”, being a trend of recent years in labor markets in many countries, is part of a broader process of transformation of traditional forms of employment, reassessment of the place of work and career in life, which can be both related to the generational change as a source of labor resources and a consequence of a pandemic. Further research could focus on developing specific recommendations for combating or adapting to “quiet quitting” and more in-depth study of country differences in this phenomenon.

The influence of unemployment on health is widely discussed in the economic literature. However, the question about the negative direct effect or the deterioration of health of the unemployed population remains open in the context of the existence of a reverse effect — the influence of health on employment. This study aims to assess the statistical associations between unemployment and health status, as well as to identify direct and reverse effects in this relationship in the Russian studies. The authors use a systematic literature review as the main research method. The search is conducted in Elibrary, Cyberleninka and Google Scholar databases to find published works on the research topic in 2015-2023 for men and women of working age. The full-text search identified fifteen publications that were included in the systematic review. The selected papers used self-rated health, mental health, cardiovascular health, and general well-being as health indicators. All studies confirmed the presence of statistically significant negative associations between the “unemployed” status and health. At the same time, employed respondents of both sexes reported good health one and a half times more often than unemployed individuals. Nine studies presented econometric models linking the labor market status variables to health. Of these, only one paper estimated direct and reverse effects for a mental health variable. There was no direct effect estimate for the self-rated health. This gap in the literature will be addressed by the authors in their next article using the matching method. If the assessment of the direct effect is negative, the authors plan to develop a series of policy recommendations to improve the health of unemployed and economically inactive individuals at the regional and federal levels. Due to the innovative approach, this study is of a great value to the research in health economics. 

Consumption of material goods and services is a sphere of economic relations that is aimed at satisfying the material, spiritual and intellectual needs of people. Consumption is the most important stage of the reproduction process. characterizes the level and quality of life of the population, reflects the effectiveness of the state’s socio-economic policy. In recent years, against the backdrop of changing socio-economic conditions, the study of patterns, features and trends in the consumption of material goods and services is a fairly relevant and sought-after area of research. This article analyzes the level and dynamics of consumption of goods and services by residents of the Vologda region, examines the features of the structure of consumer expenditures of households in the region, and identifies income and territorial differentiation in the consumer market. The information and empirical basis of the study are the results of monitoring of the Vologda Scientific Center of the Russian Academy of Sciences, carried out in the Vologda region. The results of the study showed that, against the backdrop of an increase in the quantity (volume) of purchases of goods and services, a low level of material consumption opportunities for residents of the region remains, which is due to a fall in real incomes, rising inflation, and negative structural changes in family budget expenditures. Risk categories include representatives of the 20% least affluent group, as well as residents of rural areas, whose consumption level is noticeably lower than the regional average. Improving the situation in the area of consumption of material goods and services by residents of the region will depend on the degree of effectiveness of the measures taken by the federal and regional authorities to bring the economy onto a sustainable development trajectory, increase the income of the population, and overcome excessive income differentiation and property stratification of the population.

This study is devoted to generalizing the varieties of approaches (resource, productive, reproductive and institutional) to understanding the “tax potential of the region”, the author’s version of this term is presented, taking into account the influence of financial, economic, socio-demographic, natural and environmental factors. The methodological problems of assessing the tax potential of the region are investigated. The calculation and analysis of the tax potential of the Central Federal District regions based on absolute and relative values, according to the methodology used by the Ministry of Finance of the Russian Federation. Systematic and complex approaches, dialectical method of cognition, scientific abstraction, analysis and synthesis, comparison methods, statistical models (correlation and regression analysis: t-statistics criterion; P-values; Darbin-Watson criterion), etc. were used as a methodological basis. The study tested various hypotheses for the correspondence of factor dependencies of increasing the tax potential of the region. The implementation and variability of the proposed methodological and practical approaches to the assessment of tax potential is focused on the formation and improvement of highly effective and efficient replenishment of the budget of the region, its planning and management in modern conditions.

The purpose of the study was to develop a methodology and appropriate tools for conducting an examination of the quality of marketing research. When carrying out the research, methods of traditional analysis of scientific literature and existing expert practice of the results of intellectual activity, comparison, generalization, description, formalization were used. The object of the study was reports on marketing research, the subject was the quality of their preparation.
Based on a generalization of the definitions of the concept of “marketing research” and an analysis of the requirements for marketing information, the author formulated a definition of the concept of “quality of marketing research”. The article defines a list of evaluation criteria for conducting an examination of the quality of marketing research. In accordance with each of the criteria, a set of questions has been formed, the answers to which must be given by specialists when conducting an examination of the quality of marketing research. An algorithm for conducting an examination is presented, methods are defined and tools for its implementation are developed. The author also demonstrated the practical use of the tools he developed for conducting an examination of the quality of marketing research.
In conclusion, the article formulates conclusions about the need for further study of the problem of examination of the results of intellectual activity, including marketing research, improvement of methodological tools, and the formation of a unified approach to resolving certain problems within the framework of expert practice of assessing the quality of preparation of marketing research.
The results of the study may be useful to specialists acting as experts on the results of intellectual activity, including marketing research, government and non-government expert organizations, and forensic experts.

Each time period of economic development is characterized by one or another key, central technology that links the technological structure together. In the 19th century, this technology became the use of steam engines, from the beginning of the 20th century – electricity and internal combustion engines, in the 90s – computerization and the emergence of network technologies, then – cellular communications and mobile broadband Internet, then – the emergence of social networks and social media. Now, according to the consensus opinion of industry experts, the function of such technology is performed by generative artificial intelligence, which emerged just a few years ago, but has already significantly changed many sectors of the economy.
The article discusses the main aspects associated with the emergence of breakthrough technologies of generative artificial intelligence. The key factors that influenced the emergence of technological capabilities were studied, such as the growth of the computing capabilities of processors, a consistent increase in funding for innovative projects, and an increase in publication activity in this direction.
Particular attention is paid to the characteristics of the value chain of generative artificial intelligence technologies. It is shown that hardware requirements are becoming higher, a previously non-existent stage of creating basic models appears, as well as a layer of companies adapting basic models to the tasks of business practice by learning from industry data.
We have also shown that generative artificial intelligence technologies will have the greatest impact on the creative sector of the economy, since they allow us to significantly speed up and optimize processes at all stages of creating the value of a product, reducing the need for manual labor, but not replacing it completely.

The relevance of the article is in the choice and application of research methods for the decision-making process in a university. The level of complexity of management objects is growing due to the increasing level of business turbulence. Universities are no exception, based on their ongoing transformation and the process of becoming a player in the market economy. The use of simulation modeling is a promising topic and deserves more attention. The purpose of the study is to present and demonstrate the possibilities of using a simulation tool to manage university processes. Research hypothesis: despite the fact that simulation modeling is becoming an increasingly popular method of forecasting in social systems, it is not used in the field of university management. The paper presents a model of student entrepreneurship at IRNRTU (Irkutsk), built with the help of AnyLogic. It demonstrates its work from the point of view of the behavior of the model under normal conditions and conditions of stimulating a separate competition (Program “Umnik” (Foundation for Assistance to Small Innovative Enterprises), Program “START” (Foundation for Assistance to Small Innovative Enterprises) and the “Startup” program (Foundation for Assistance to Small Innovative Enterprises with the Federal project “University Technological Entre-preneurship Platform”). As the software, the AnyLogic program (Russia) was selected and applied. The group of researchers selected a discrete-event model for ease of collection statistics and selection of the winner. As a result, it was concluded that the model is able to predict the most likely outcome of the underlying actions or interests in a shorter period of time compared to other forecasting tools. The theoretical significance of the work is in expanding the list of issues under study for the use of simulation modeling in higher education. The practical significance is in the application of the results to assess the effectiveness of student entrepreneurship and it might be of interest to both university administrations and higher education researchers.

The Internet space is replete with platforms that aggregate information about online courses and make ratings for them according to various parameters. There is a request for such services, because due to the growth of the online education market and the undeveloped culture of choosing high-quality products of this market, course aggregators seem to be a good opportunity not to make a mistake in deciding to buy a particular course. However, they are not always an effective help due to the opacity of their tools, a small set of characteristics for comparison and other reasons. The article presents theoretical approaches to the selection of educational products, provides an overview of some aggregators of online courses in order to develop an assumption about what properties this platform should have in order to meet the needs of users to choose an online course suitable for them. The practical significance of the study lies in the fact that the presented results will help in the development of such an aggregator that could take into account the main demands of consumers of the online education market and would be free from the disadvantages inherent in existing tools.