Serhii Kozlovskyi

In this article the research of theoretical and methodological approaches to ensuring the sustainable development of the agrarian sector within the region based on the methods of state regulation was conducted. Regulatory and legal measures of the agrarian sectors sustainable development within the regions in crisis where conditions have been developed.
The structural scheme of the system of state regulation for pricing of the products in the agrarian sector has been developed. The algorithm for the state regulation of prices for the agrarian market is proposed.
It is proposed to construct of an effective management system of sustainability agrarian sector development of the region to combine all actions of management subjects of agrarian relations by the following elements: state regulation, market self-organization, management of agrarian sector.
Currently the most optimal agrarian sectors of the region have an innovative development scenario in which innovative resources are used, shifting resource-technological equilibrium in the direction of production growth through more efficient use of natural, financial and other resources as an additional source of sustainable development of the regional agrarian systems.
A targeted model of sustainable development of the Vinnitsa region agrarian sector has been developed on the basis of an innovative scenario that envisages achieving this by giving the agrarian sector of the region the main and basic guidelines of development by means of organizational and rational interaction of agroindustrial regional system with the external environment, ensuring its ability to self-development, efficiency of functioning, flexibility and adaptability.

Nowadays, studying the categories of “economic sustainability”, “economic sustainability management” and the peculiarities of these concepts is especially relevant. Their use would provide an opportunity to ensure the sustainable and most effective functioning of the subject of economic relations in the current period of time, as well as to create a high potential for its development and ensuring the conditions for investing capital in the Ukrainian economy. All this determined the purpose of this study, which consists in the analysis of the theory and essence of the economic sustainability concept, the interpretation of the concept of “economic sustainability of the system” and the concept of “management of economic sustainability of the system”, distinguishing factors affecting the sustainability of the Ukrainian economic system, determining the relationship of economic sustainability with economic security, investing as well as forecasting the level of the Ukrainian economy sustainability based on the innovative modeling methods. The object of the research is to develop the theory of the “economic sustainability” concept and to determine the level of economic sustainability of the economy aimed at raising the investment climate in Ukraine. To ensure the development, security and investment attractiveness of the Ukrainian economy, an organizational structure of the management model for the sustainability of the Ukrainian economic system was developed using the developed economic and mathematical model.

The article presents a methodology for developing the marketing strategy for the adoption of optimal managerial solutions by means of smart analytics. Such issues as marketing strategy modeling methods; software products based on the integration of smart analytics; optimal choosing electro mobile and others have been considered. The main subject of the article is constructing an optimal decision-making model using a combination of classical statistical and mathematical methods and models, as well as modern information technologies including methods of smart analytics. The conceptual scheme of the effective marketing management has been created according to the structural components: information, statistical, mathematical, analytical and technological etc. The structure and main features of every component have been considered in detail. The created conceptual scheme of the effective management was demonstrated through the simple example of optimal choosing electro mobile. To investigate sales on electro mobiles Ukrainian market a set of factors has been considered. According to them the correlation and cluster analyses have been conducted. The main factors, which are the most influent for the price of electro mobile on Ukrainian market have been revealed. All considered models of electro cars have been divided onto three groups depending on the characteristics price–quality.

In today’s rapidly changing global financial market, potential counterparties are in dire need of reliable and timely information on the partner bank performance in order to find the most successful one in terms of conducting credit and deposit transactions. Public ratings of banks serve to solve this problem and are considered as one of the effective tools for choosing such a bank. In Ukraine, the rating of banking institutions is not widely used by business entities because of the imperfect methodology of analysis of banks, a rating process that is closed to the public, the assignment of an unreliable rating to selected banks, the use of obtained ratings by banks for marketing purposes, etc. Therefore, the purpose of the study is to improve the existing rating systems for Ukrainian environment. International and domestic regulatory documents on rating, data of the National Bank of Ukraine and commercial banks, materials of rating agencies, as well as scientific publications of well-known Ukrainian and foreign scientists made the theoretical basis of the study. It is proposed to take a number of priority measures to legislatively regulate the activities of bodies for rating scores of banking institutions, to create a branched infrastructure of the rating market and to establish effective interaction of its participants, to end demonopolization and weaken entry barriers and to introduce new agencies in the rating market, to identify new rating methodologies. The conclusions are aimed at the development of a civilized and transparent rating business in Ukraine, which will ultimately contribute to the timely detection and neutralization of crisis phenomena in the banking sector, restoring confidence between banks and their clients, creating the preconditions for making sound business decisions.

Managing and evaluating the probability of bankruptcy of Ukrainian enterprises is one of the most complex and relevant problems of the economy and management. In the context of Ukraine’s integration into the international space, there is an arising issue of assessing the bankruptcy of Ukrainian enterprises that meets international financial standards and allows administering this process. A qualitative assessment of the bankruptcy of an enterprise is possible only using artificial intelligence methods – the fuzzy sets method, which allows including qualitative and quantitative indicators to the model for assessing bankruptcy of enterprises in Ukraine. The aim of the article is to improve the existing method for assessing the probability of bankruptcy of Ukrainian enterprises on the basis of the fuzzy sets method, which will include indicators of international financial reporting and allow more efficient administration and management of this process. The subject of the research is the process of formalizing the method of the enterprise bankruptcy assessment in accordance with the indicators of International Financial Reporting Standards. The study offers a mechanism for a comprehensive assessment of the probability of bankruptcy of Ukrainian enterprises with the use of the methods of fuzzy sets, which is based on international financial indicators: current ratio, payable turnover ratio, equity turnover ratio, return on assets, equity-to-debt ratio. The mechanism allows quickly managing bankruptcy conditions. In order to administer the economic activity of the bankrupt enterprises, based on the theory of a fuzzy sets, a system of enterprises management takes into account the international financial reporting.

The purpose of this study was to explore the indirect and direct relationships of Big-5 and dark personality traits (i.e., extroversion, neuroticism, agreeableness, openness, conscientiousness, narcissism, Machiavellianism, psychopathy, sadism, and spitefulness) with job performance via perfectionism, stress, and social media addiction. A total of 514 private sector employees filled out a query sheet that included the assessment tools for the variables. Path analysis using a multiple mediation model indicated that neuroticism was negatively directly and indirectly related to job performance via stress and social media addiction. Machiavellianism and spitefulness were directly positively associated with job performance, and Machiavellianism-related higher social media addiction diminished the direct positive effect of Machiavellianism on job performance, indicating complex relationships. Furthermore, stress, social media addiction, and perfectionism were related to different personality traits positively and negatively. Findings of the present study suggest that an anti-social personality may promote higher job performance. However, job performance may be adversely affected by the adverse consequences relating to these traits. Professionals and firms that attempt to increase job performance should take anti-social personality traits and their complex effects on job performance into account.

The year 2020 showed certain unpreparedness of the world’s countries for the challenges of the COVID-19 pandemic due to the unpopular measures of closed borders and total quarantine. The leading social component that opposes a pandemic is the healthcare system. Thus, the purpose of this paper is to assess the ability of European countries to respond to the COVID-19 pandemic. The cluster modeling was performed using the STATISTICA 7.0 package. As a result of modeling, the studied countries were divided into 4 clusters. The first cluster included nine countries. According to the smallest distance, the core countries in this cluster are Ireland and Bulgaria. The second cluster included seven European countries. The core country in this cluster is Sweden. Five of the studied countries were part of the third cluster. The core country in this cluster is Estonia. The fourth cluster included economically developed European countries with a Scandinavian social economy model and countries with a transitive social economy model. The core country in the fourth cluster is Germany. The recommendations for European countries can be introducing educational activities at the state level among the population on the importance of vaccination against COVID-19, increasing the staffing of the healthcare system, conducting the audit on the effectiveness of using public funds, and developing the medical infrastructure.

Nowadays, strategic flexibility and its effect on organizational performance are crucial to discuss. Moreover, organizations, especially industrial companies, should estimate how flexibility as a mechanism can improve organizational performance. The Hungarian food industry is highly significant in the industrial sector of the Hungarian economy. Therefore, the aim of this paper is to evaluate how the performance of the Hungarian food industry is affected by strategic flexibility, using supply and demand uncertainty as moderators. It is a quantitative and causal study. A survey was conducted to collect the primary data from a proposed sample of managers at the target companies. As a result, 301 valid responses have been analyzed in SPSS. Regression analysis, correlation, and moderation analysis are used as well. The results indicated that strategic flexibility generally enhances the performance of the target companies, and 20.3% of changes in companies’ performance are related to strategic flexibility. The flexibility of resources affects only the operational performance, while the flexibility of coordination positively affects company performance; it has a 44.2% influence. The findings also showed that uncertainty does not moderate the relationship between strategic flexibility and target firms’ performance. Thus, strategic flexibility is considered as one-effect mechanism in a stable business environment. In all cases, strategic flexibility should be applied in addition to other managerial techniques to enhance company performance.

The cryptocurrency market is not regulated, people and companies wishing to invest in cryptocurrency do not have the same protection as when investing in other assets. In the absence of information and regulatory laws, investors should decide if cryptocurrencies make sense for their financial goals and what kind of investment strategy to choose not to go bankrupt. The aim of the study is to determine the probability of “tail events” and to assess in this way the probability of bankruptcy when investing in cryptocurrency using the Monte Carlo method. The analysis is carried out on the period from September 1, 2014 up to July 1, 2022. Despite the fact that today there are more than 10,000 types of cryptocurrencies, Bitcoin was chosen to assess the probability of bankruptcy. The reason is that Bitcoin is the world’s first decentralized cryptocurrency and its data is stored in a long-term history, which allows testing a long-term investment strategy. Besides, Bitcoin has not gone through a period of persistent inflation that makes the result of testing a short-term investment strategy more reliable. To date, there are around 25 million Bitcoin holders, representing 42.2% of the crypto market. Almost all cryptocurrencies have been proven to follow Bitcoin. The probability of bankruptcy for a short-term cryptocurrency investment strategy is about 17%-23%. For a long-term cryptocurrency investment strategy, the probability of bankruptcy fluctuates from 13% to 16%. Contrary to popular belief, investors looking to avoid bankruptcy should prefer a long-term strategy. The best way for cryptocurrency investors to protect themselves from bankruptcy is to alternate long and short investment periods.

The full-scale aggression unleashed by the russian invaders against Ukraine on February 24, 2022, became an unexpected horror that struck the life of this European country. The war radically changed absolutely everything and for everyone. It has crippled the fate of millions of innocent people, claimed the lives of tens of thousands.
The crazy decisions of the russian leadership and the influx of its hordes have turned a huge number of Ukrainian cities and towns into hell. Destroyed or damaged urban infrastructure, homes and businesses, hospitals and schools.
These monsters did not spare the universities either.

With the emergence of the global COVID-19 pandemic in 2019, a process of transformation of the modern economic system took place, which requires new approaches to assessing economic processes. One of such processes is the assessment of public welfare. The purpose of this study is to develop an approach to assessing the level of public welfare of the population of Ukraine in the context of the COVID-19 pandemic and economy digitalization. To solve this problem, the methods of artificial intelligence, in particular the method of fuzzy sets theory, which allows using the incomplete information and making high-quality forecast calculations, are used. The factors influencing the level of public welfare during the COVID-19 pandemic have been identified. These are the following factors: gross domestic product, poverty rate, welfare index, human development index, subsistence level, and indicators that characterize the COVID-19 pandemic (i.e. the total number of COVID-19 cases, the total number of deaths from COVID-19, and the total number of vaccinations from COVID-19 in Ukraine). Using fuzzy sets theory, an economic-mathematical model for assessing the level of public welfare in the context of the COVID-19 pandemic in Ukraine was built. Two-dimensional dependences of the level of public welfare of Ukraine in the context of the COVID-19 pandemic on indicators such as gross domestic product, subsistence level, and the total number of cases of COVID-19 in Ukraine were obtained. The results of the study established that the level of public welfare in the context of the COVID-19 pandemic on the 0-100 scale is predicted to be as follows points: 2021 – 17, 2022 – 23, 2023 – 27, 2024 – 19, 2025 – 35 and will not meet international standards.

The study aims to investigate the relationships between the volume of net migration and the economic development of individual European countries, which will make it possible to forecast the level of GDP and strengthen their migration policy. Correlation-regression analysis was used based on statistical data from Eurostat and the State Statistics Service of Ukraine for the period 2014−2021 for selected European countries (the EU-27 member states, Switzerland, and Ukraine). The correlation-regression analysis showed a relationship between the volume of net migration and the level of GDP. The linear correlation equations forecasted the value of the GDP level depending on the influence of a single factor – the volume of net migration. The attention is focused on the importance of migration, which ensures economic growth for Poland. It is attractive due to a simpler mechanism for moving immigrants than in other EU-27 countries, ease of language learning and easier adaptation, territorial proximity, and a higher standard of living compared to neighboring countries that were part of the Soviet Union. Thus, an increase in net migration to Poland by 1% will lead to an increase in gross domestic product by 1.43 million euros. Due to Russia’s war against Ukraine, net migration from Ukraine to Poland has increased significantly, potentially increasing Poland’s GDP in 2023 by 0.08% or 529.54 million euros.

The marketing development of the electric vehicle market can be considered as a key element of innovative changes in the national economy. Object of research is the development of the electric vehicle market. The purpose of this article is the theoretical substantiation and development of guidelines for determining the rating of countries by the level of development of this market as a determining factor in the innovative development of the national economy. In the study, expert survey methods, logical generalization and comparison of results, statistical analysis and graphical presentation of results were used. The study conducted a marketing analysis of sales and production of electric cars, government programs to stimulate them, existing rating indicators of countries for the development of the electric vehicle market, and based on the results, a method for determining the integrated rating indicator of national economy innovativeness was developed. The article established that in countries that are world economic leaders, the growing interest of consumers and manufacturers of cars to electric vehicles, which is actively supported by government programs and incentives. It is proposed to use a integrated indicator of innovative development of the national economy, which are directly related to the market of electric vehicles. This indicator consists of the following factors: share of investments in the development of branches related to the national production of electric vehicles; level of growth of electric transport in the country’s total fleet; the share of electric vehicles in total number of cars produced in the country; level of increase in the amount of electricity produced based on RES in total; infrastructure development; level of state support for the market. The use of these integrated factors in marketing analysis will determine the level of the world leader in the country, its innovative development.