At the end of 2019, the new virus called Coronavirus disease (COVID-19) spread widely from China all over the world (including Europe). Most countries in Europe at the beginning of 2020 have been quarantined. The aim of the work is to develop the system dynamics model for assessing the impact of the different factors on the COVID-19 death rate in Europe. There were tested three hypotheses about factors of reducing the COVID-19 death rate with the help of linear regression analysis. The density of the population of European countries doesn’t affect the COVID-19 death rate. Also, COVID-19 death rate does not drastically affect mortality statistics. But the level of country’s economic development is a factor of COVID-19 death rate because in high developed countries the pandemic death rate is lower, regardless of the mechanisms of the spread of the disease and its impact on human health.

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 subject of the study is the conceptual, theoretical, empirical and methodological foundations of the legal and economic nature of the commercialization of intellectual property in Ukraine. Methodology. General and special methods of cognition were used in the process of research. The essence of the commercialization of intellectual property was evaluated on the legal and economic level, on the basis of the same and opposite parameters with the help of the dialectical method. The analysis created conditions for a multifaceted study of all characteristic features of the commercialization of intellectual property as an economic and legal phenomenon. The synthesis created conditions for summarizing the characteristic features of this process. The formal legal method allowed to correctly interpret the content of normative legal acts that determine the general legal regime of commercialization of intellectual property and the special legal regime of its forms with regard to their use in civil or economic circulation. The purpose of the article is to determine the economic and legal foundations of the commercialization of intellectual property in Ukraine as an economic and legal category at the theoretical and empirical level. The results of the study prove that the commercialization of intellectual property is a form of implementation of scientific developments and innovations in various spheres of human life, which is usually accompanied by obtaining a certain benefit and includes a number of forms of implementation regulated by administrative, civil and economic legislation. Conclusion. Commercialization of intellectual property in Ukraine consists of two conceptual approaches to the study and implementation of an economic and legal nature. Economists propose to consider commercialization as one of the constituent stages of the social life process of intellectual property objects along with creation, security and protection. Within this approach to the forms of commercialization of intellectual property, the following manifestations are distinguished: 1) use of the corresponding object within the limits of own production, transfer under contracts (licensing, leasing, commercial franchise) to other subjects or entry of rights to the object objects of intellectual property into the authorized capital of the enterprise; 2) capitalization and sale. Among the factors that determine the qualitative and quantitative indicators of commercialization, the most important are legislation, state management in this area, and the existence and implementation of measures to stimulate participants in this area. From a normative point of view, the phenomenon of commercialization of intellectual property has gained publicity in various levels of understanding, both from the standpoint of private law and public law. For both components of jurisprudence, the approach is generally accepted, according to which the given issue is considered with a view to ensuring public or private protection of intellectual property rights. Attention is paid to the set of tools provided by special legislation to higher education and scientific institutions in the field of commercialization of intellectual property. The provisions of the Ukrainian legislation defining the general legal regime of commercialization of intellectual property and the special legal regime of its forms are characterized.

The article presents the way of applying cluster models to customer classification and managerial decision on retaining the available clients and acquiring new ones. The objective of the research is to find out the relevant techniques for building scoring models in different fields. The main research was testing the hypothesis: if the number of point models is approximated in different spheres of activity, then the proposed methods will be universal. To check this hypothesis the vector method of k-nearest neighbors support was applied for decision making in the digital economy based on scoring models. In order to realize the principle of customer classification and revealing the client categories with risk of quitting, the client’s classification model was created. Moreover, a risk issue was shown in the example of fraud dynamic. Different fraud categories were studied to define their features. On the basis of the model building results, the authors proposed some recommendations on decision making in risk situations. The model shows how to retain existing clients and how to share client base through the client groups and how to deal with risks of losing clients.

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