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Adjusting Bank Recruitment to the Specifics of the Millennial Generation as Conditions of Attractiveness Decline for Employment in the Banking Sector
(Financial Internet Quarterly „e-Finanse”, 2019-12) Момот, Володимир Євгенійович; Литвиненко, Олена Миколаївна
The article discusses the problems of commercial banks related to the deterioration of their image as employers, especially in eyes of the millennial generation, which soon will become the most attractive category for employment in modern business. The main criteria that guide the millennial generation when choosing a future job are identified. A detailed analysis of the strengths and weaknesses of banks as employers has been carried out, and advice for image improvement has been formulated, aimed at the young audiences of potential bank employees. It was proven that banks should build not only an effective PR campaign to create a powerful image of a reliable employer, but at the same time they should establish a reliable system to counteract unfair competition, ultimately aimed at destabilizing financial institutions, which are most sensitive to image problems.
ALGORITHMIZATION OF CONTENT PREPARATION FOR A COMPILATION DISCIPLINE USING ARTIFICIAL INTELLIGENCE TOOLS
(National Aviation University, Kyiv, Ukraine, 2024-08-26) Volodymyr Momot; Olena Lytvynenko
Based on the experience of developing the content of the compilation discipline «Technologies of Training Delivery» at the Alfred Nobel University using the main modern AI tools (ChatGPT 4.0, Gemini and Claude), a robust algorithm is proposed. The main problems that arise when using AI tools, such as initial bias and low trust level among the teaching staff. The possibilities of joint use of AI visualization tools (DAL-E 3.0 neural network) and presentation tools commonly used in the educational process (PowerPoint and Keynote) are shown. The problems of trust that arise during the deep implementation of AI tools in the educational process are considered. Recommendations are given on the systematic use of AI tools in the preparation and improvement of educational content.
BUSINESS HYBRIDIZATION IN THE FINANCIAL SPHERE UNDER THE CONDITIONS OF PO ST-QUARANTINE ECONOMIC RECOVERY
(FINANCIAL INTERNET QUARTERLY, 2021-12) Момот, Володимир Євгенійович; Литвиненко, Олена Миколаївна
The article discusses the alternatives for financial institutions related to global business reshaping after pandemic waves during post-quarantine economic recovery. To select the most acceptable variant of business hybridization, the theory of generations was used, which allows us to determine the value orientation of different age group representatives and impose it on the financial institutions' human resource policy during the transition to a hybrid form of business organization. On the basis of the integral spiral dynamics theory, a theoretical assessment of the correspondence of the corporate culture of organizations of different types to the options for the transition to a hybrid business is given. Various models of hybrid organizations in the financial sector have been developed and presented and their degree of compliance with the level of business development in Ukraine has been assessed. Sociometric analysis done on the representative sample in the well-developed business center of Ukraine reveals the possible approaches to the hybridization in the financial sphere with regards to age distribution of employees.
Ces-functions application for ensuring the efficient scenario of industrial enterprise development
(Journal of Modern Economic Research, 2020-06) Момот, Володимир Євгенійович; Литвиненко, Олена Микалаївна
ased on the application of parameter continuation method to a forcedly homogeneous and heterogeneous CES (constant elasticity of substitution) production function in the Cobb-Douglas-Timbergen form, recommendations have been formulated regarding the general technical policy of domestic industrial enterprises at the present stage of economic development of Ukraine. Since the cost of labor resources in Ukraine is almost the lowest in the world, we can conclude that the strategic policy in the field of fixed assets of domestic enterprises claiming competitive position in the world market should be focused on replacing obsolete equipment. The application of the parameter continuation method to a forcedly homogeneous CES production function in the Cobb-Douglas-Timbergen form indicates the possibility of an extremely optimistic intensive scenario for the Ukrainian industry development, which theoretically can grow almost exceptional due to the use of skilled highly paid labor with moderate investment activity in the field of basic production tools. The use of the Cobb-Douglas-Timbergen form of inhomogeneous CES production function with the parameter continuation method made it possible to make more meaningful generalizations regarding the comparative efficiency of using the basic production factors and to give a mathematical interpretation of the outstripping growth in labor productivity law, which consists in the descending nature of the PF (production function) variation curve with respect to the elasticity coefficient of the interchangeability of labor and capital. The influence of non-stationary processes in the economy on the enterprise development scenario has been identified, due to which the “delay” effect has been revealed when a certain trend continues to occur for a certain time even though the conditions of the economic environment have been already changed. The analysis of bordering cases of the production system development based on a comparison of changes in the parameters of the production function has been carried out, a mathematical interpretation of the law of diminishing marginal productivity of the factor has been given. Recommendations on the technological policy of domestic enterprises at the present stage have been put forward.
CES-FUNCTIONS APPLICATION FOR ENSURING THE EFFICIENT SCENARIO OF INDUSTRIAL ENTERPRISE DEVELOPMENT
(Journal of Modern Economic Research, 2020) Момот, Володимир Євгенович; Литвиненко, Олена Миколаївна
Based on the application of parameter continuation method to a forcedly homogeneous and heterogeneous CES (constant elasticity of substitution) production function in the Cobb-Douglas-Timbergen form, recommendations have been formulated regarding the general technical policy of domestic industrial enterprises at the present stage of economic development of Ukraine. Since the cost of labor resources in Ukraine is almost the lowest in the world, we can conclude that the strategic policy in the field of fixed assets of domestic enterprises claiming competitive position in the world market should be focused on replacing obsolete equipment. The application of the parameter continuation method to a forcedly homogeneous CES production function in the Cobb-Douglas-Timbergen form indicates the possibility of an extremely optimistic intensive scenario for the Ukrainian industry development, which theoretically can grow almost exceptional due to the use of skilled highly paid labor with moderate investment activity in the field of basic production tools. The use of the Cobb-Douglas-Timbergen form of inhomogeneous CES production function with the parameter continuation method made it possible to make more meaningful generalizations regarding the comparative efficiency of using the basic production factors and to give a mathematical interpretation of the outstripping growth in labor productivity law, which consists in the descending nature of the PF (production function) variation curve with respect to the elasticity coefficient of the interchangeability of labor and capital. The influence of non-stationary processes in the economy on the enterprise development scenario has been identified, due to which the “delay” effect has been revealed when a certain trend continues to occur for a certain time even though the conditions of the economic environment have been already changed. The analysis of bordering cases of the production system development based on a comparison of changes in the parameters of the production function has been carried out, a mathematical interpretation of the law of diminishing marginal productivity of the factor has been given. Recommendations on the technological policy of domestic enterprises at the present stage have been put forward.
Features of cluster functioning in the transport area
(2020) Писарькова Валерія Ростиславівна
Fundamentals of higher education in the digital economy
(BA School of Business and Finance, 2021) Писарькова Валерія Ростиславівна; Дубницький Володимир Іванович; Науменко Наталія Юріївна
The article highlights the key aspects of modeling to improve the quality of forecasts of staffing needs of the regional economy in the context of digital transformation of the regional economy and business. The distribution of the number of specialists in the field of ICT in Ukraine, employed in the economy, was assessed and a negative tendency towards a decrease among specialists of the highest level of qualifications of software and application developers and analysts was revealed. The analysis of the distribution of ICT specialists by type of economic activity in 2018 and 2020 (forecast) in the Dnipropetrovsk region is carried out. The distribution of the graduation of bachelors and masters in the main areas of training and specialties in the field of ICT in the Dnipropetrovsk region for 2018-2019 was analyzed and areas and specialties in which growth trends are observed. The data on the distribution of the population of the Dnipropetrovsk region in 2019 of the possession of digital skills are considered and presented. It was revealed that, in accordance with official data, the share of the population of the Dnipropetrovsk region with digital skills (elements of digital literacy) in one or another subject area is less than 50%.
Mathematical modeling of price forecast in a competitive environment
(2019) Федулова Світалана Олександрівна; Комірн Віталіна Віталіївна; Писарькова Валерія Ростиславівна; Кошелєва Вікторія
In this article, the research in the areas of competitive environment detection, pricing formation, and pricing methods has been conducted. A competitive environment is emerging in different markets and areas. To identify a competitive environment, we can use the following methods: analytical, expert and simulation. So, the application of basic mathematical models of price forecasting in a competitive environment has been investigated and described. Stage pricing in market conditions is an important element in the development of economic mechanism of production, provides supply and demand balance, influences the interests and needs of society. The basic methods of detection of the competitive environment, the most common methods of pricing and the time series method and the method of neural network forecasting for conducting the price forecast in the competitive environment are considered. It is updated that subjective forecasting of the same number of variables on a regular basis can be very time-consuming. It was determined that there was a way to achieve maximum effect in the field of forecasting with the help of «artificial intelligence», when the computer itself can learn, because by increasing the amount of information resources used in the model, the accuracy of the prediction increases, and the damage associated with uncertainty in decision making, they decrease, and it is possible through the use of neural networks. Finance is extremely non-linear, and sometimes stock price data can even seem completely random. Traditional time series methods, such as the ARIMA and GARCH models, are only effective if the series is stationary, which is a limiting assumption that requires pre-processing the series by receiving journal returns (or other transformations). However, the main problem arises when implementing these models in a real trading system, as there is no guarantee of stationarity when adding new data. They are struggling with it through neural networks that do not require any stationarity. In addition, neural networks are inherently effective in linking data to using it to predict (or classify) new data.
Methodological approaches to management of industrial clusters
(ДВНЗ «Український державний хіміко-технологічний університет», 2019) Писарькова Валерія Ростиславівна; Дубницький Володимир Іванович; Науменко Наталія Юріївна
This article is considering methodological approaches to management of industrial clusters, the practice of which is becoming the most popular in the world community both at the international and national and regional levels. An industrial cluster can be characterized as a group of manufacturing enterprises and non-productive organizations, for which membership in the cluster is an important means of strengthening individual competitiveness. The theoretical principles of forming a model of a cluster of four blocks and the characteristic features of successful work of clusters are considered. The key approaches to clustering of industrial enterprises are substantiated: endogenous and exogenous. The support of the cluster development authorities in the context of ensuring the sustainable development of the cluster is shown. It is substantiated that clusters, unlike business networks, combine a much wider range of participants, including support institutes, manufacturing and commercial structures, including manufacturers, component suppliers, distributors, as well as regional and national governments. It is possible both industry and geographic concentration of enterprises that are part of the cluster. The schemes presented reveal the essence of the industrial cluster, reflect the investment climate on the basis of cluster technologies and demonstrate the components of the successful work of cluster associations. Several approaches to assessing the efficiency of a cluster function are considered. A separate information cluster is provided, which is a collection of enterprises that produce and provide information. The differences between industrial and informational clusters as well as their interaction, which is represented by the scheme through the intersection, are shown, and the general enterprises for the two clusters are defined. The article identifies the main factors that contribute to increasing the competitiveness of the enterprise due to clusterization. Active clustering reduces the isolation of enterprises at different levels,
Methodology of simultaneous utilization of case study and immersion during teaching of managerial disciplines
(Wyższa Szkoła Zarządzania Ochroną Pracy w Katowicach, 2017) Момот, Володимир Євгенійович
The study examines the effects of simultaneous utilization of immersion and case studies on the outcome of practical preparation of future professional raising their value for the labor market. The results are indicating that immersion is capable of amplifying the outcome of case studies by raising the level of focusing during the in-class work and independence of decision-making.
New approaches to assessing the quality of educational activities at universities in the context of digitalization of the economy and increasing labor market requirement
(2023) Писарькова Валерія Ростиславівна
The article presents a look at the new system for evaluating educational programs at universities, using the example of universities in Ukraine. The possibility of transitioning universities to the digital economy and forming a “digital university 4.0” is considered. The requirements for modern students in higher education institutions are considered. We have proposed a form of education that we consider effective, namely, mixed, which combines both online and traditional academic education.
PECULIARITIES OF AI-TOOLS UTILIZATION AS A SUPPORTER DURING THE MARTIAL LAW
(Національний авіаційний університет, 2024) Момот, Володимир Євгенійович; Литвиненко, Олена Миколаївна
This article examines the specific considerations for utilizing AI tools in teaching processwithin the unique context of Ukraine under martial law. The study investigates the cultural and psychological profiles of popular AI tools like ChatGPT and Gemini, comparing their ability to reflect national values and personality traits. Additionally, the research explores the impact of AI-toolsimplementationon students’ perceived social support. The study proposes apattern«Leadership Qualities-Trust»,to facilitate the integration of AI tools in the academic environment by fostering trust and understanding. The study highlights theimportance of considering the «psychological type» of AI tools and their potential impact on student-teacher dynamics. Study provides valuable insights into the opportunities and challenges of utilizing AI-tools atteaching within the specific context of Ukraine under martial law.
Problems of ensuring competitive immunity of the region by methods information-psychological security
(Publishing House "Baltija Publishing", 2020) Писарькова Валерія Ростиславівна; Дубницький Володимир Іванович
The article identifies, classifies and considers the main risks and threats to information and psychological security. The phenomenon of competitive immunity of the region using the methods of information and psychological security is considered. The characteristic of the information security of the region and the competitive immunity of the region is given. The work proposed the authors’ understanding of general competitive immunity of the region, its differences from competitiveness. In a methodological interpretation, the problem posed in the work is structurally considered in the following sequence: national, regional, public and personal security. The relationship of competitive immunity of the regional economic system with the level of economic and information and psychological security is considered. The objectives and key parameters of information security for the regional level are considered.
PROVIDING ACADEMIC HONESTY AND DATA RELIABILITY TO WOS INDEXED SOURCES
(Alfred Nobl University, Dnipro, Ukraine, 2024-07-05) Momot Volodymyr; Kholod Sergii
The article explores the peculiarities of ensuring academic integrity and data reliability in preparation for publication in sources indexed in Web of Science. The main stakeholders in the process of ensuring data integrity and reliability are identified. The main technical and ethical issues that arise in the organization of this process are highlighted. The publications in the Academic Review for the period of indexing this source in WoS are analyzed in terms of ensuring data reliability and the relevant policy is reviewed. The main aspects of ensuring academic integrity and data reliability in the format of “science-society” interaction are analyzed and the call of the Alfred Nobel University for the creation of a research quality assurance association in Ukraine, which would combine the efforts of the scientific community and society aimed at ensuring integrity and reliability, is formulated. The article describes in detail the initiative of the Alfred Nobel University to ensure academic integrity and reliability of data in publications indexed in scientific databases and outlines the conditions for participation in it. The ethical and technical problems of using artificial intelligence tools in the preparation of scientific publications are considered. The possibilities of counteracting academic plagiarism using artificial intelligence tools are analyzed. Recommendations are given on the use of artificial intelligence tools to improve the quality of research, especially when analyzing achievements in the chosen field and choosing a methodology. Recommendations for ensuring academic integrity in the use of artificial intelligence tools in the preparation of publications and the development of appropriate journal policies on this issue are formulated. A quantitative comparison of the time parameters of the preparatory cycle of the main publishers of scientific literature is carried out. The author presents the sign “Perspicuitas et Fides” (transparency and reliability – Latin), which will be used by the editorial board to mark publications in which the authors are responsible for ensuring the reliability of the original research data and open access to them. The current structure of scientific publications on the websites of leading scientific publishers is analyzed. The motivation of scientists to ensure open access to data was analyzed. An appeal was made to other colleagues who administer publications indexed in scientometric databases to join the initiatives of the Alfred Nobel University.
Providing the Leadership in Education by Online Gamification-based Teaching Methods Utilization (COVID-19 Quarantine Brief Lessons Based on Phenomenological Analysis)
(Institute of Higher Education of NAES of Ukraine, 2020-06) Момот, Володимир Євгенійович; Литвиненко, Олена Миколаївна
State of art tools of students’ motivation enhancement being commonly used in higher education are treated in completely new way being considered as component of teacher’s new role in contemporary educational environment governed by distributed knowledge networking. The core hypothesis presented in the paper is that online gamification-based teaching methods positive motivational impact on students can be rightfully explained by the fact that such an approach is charging the habitual contemporary students’ communication environment with an educational value pushing them to the limits of intellectual competition. New exceptional role played by teacher in the HSE is identified as a facilitator using the potential of new educational trends for challenging students rother than guide and instruct them. Teachers’ motivation to implement the online gamification-based teaching methods is also examined on the basis of Herzberg and Maslow theory with different factors put in form of motivational matrix. The effects of COVID-19 quarantine on teachers’ motivation is explored. Corresponding phenomenological models presented based on Heaviside function and the Weber-Fechner psychophysical law. Deviators preventing teachers to use advanced educational approaches are also treated. Distributed knowledge networking which dictate the contemporary educational environment development is represented by well-known logistical curve governing the process of new information propagation. Modeling the teaching process with respect to the new motivation incentives was done utilizing two most frequently used learning curve representations. Different modes of knowledge acquisition process were analyzed. On the basis of computational model, it was proved that gamification is unveiling the potential of contemporary educational environment. Main conclusion made that in case of gamification implementation the students not only exceptionally fast in knowledge acquisition but also demonstrate the ability of new knowledge creation. But at the same time, it was proven that the gamification alone could not provide students with enough level of motivation and should be accompanied with other incentives for the students.
Psychological capital and leadership role under the turbulent conditions in banking sector
(Financial Internet Quarterly, 2020-12) Момот, Володимир Євгенійович; Литвиненко, Олена Микалаївна
The article discusses the problems of commercial banks related to the coping with abrupt changes in activities organization due to quarantine and moving to partially remote work. The theoretical consi-derations concerning psychological capital role at organization operating under the unstable condi-tions are given and hypothesis regarding psychological capital, its individual components, leadership, leadership styles (types) and the overall effectiveness of the organization are formulated. Empirical evidence which proves formulated hypothesis is presented. Concepts of psychological health and psychological competences are presented. The research conducted shows that the psychological capital of financial institutions employees being monitored during COVID-19 quarantine at Spring 2020 is positively correlated with the impact of transformational leadership on the organization effectiveness.
PSYCHOLOGICAL CAPITAL AND LEADERSHIP ROLE UNDER THE TURBULENT CONDITIONS IN BANKING SECTOR
(University of Information Technology and Management in Rzeszow, 2020) Момот, Володимир Євгенович; Литвиненко, Олена Миколаївна
he article discusses the problems of commercial banks related to the coping with abrupt changes in activities organization due to quarantine and moving to partially remote work. The theoretical considerations concerning psychological capital role at organization operating under the unstable conditions are given and hypothesis regarding psychological capital, its individual components, leadership, leadership styles (types) and the overall effectiveness of the organization are formulated. Empirical evidence which proves formulated hypothesis is presented. Concepts of psychological health and psychological competences are presented. The research conducted shows that the psychological capital of financial institutions employees being monitored during COVID-19 quarantine at Spring 2020 is positively correlated with the impact of transformational leadership on the organization effectiveness.
PSYCHOLOGICAL CAPITAL IN MAINTAINING THE STUDENTS’ POSITIVE ATTITUDES IN CONDITIONS OF WAR
(National Aviation University, Kyiv, Ukraine, 2024-12-18) Volodymyr Momot; Olena Lytvynenko
Based on research on the processes of accumulation of psychological capital (PsyCap) of students of Alfred Nobel University, the study explores the role of PsyCap in maintaining students’ positive attitudes amid the ongoing war in Ukraine. The research focuses on how students’ location, employment status, and year of study influence their PsyCap during wartime. A survey conducted among 70 students at Alfred Nobel University in the 2023/24 academic year gathered data on these factors. Using methods such as cross-tables, ANOVA, and discriminant analysis, the study assessed the effects of external factors on PsyCap. Key findings reveal that location plays a significant role, with students who have relocated abroad showing lower levels of self-efficacy, hope, and resilience than those remaining in Ukraine. Meanwhile, employment status positively impacts self-efficacy and hope but has little influence on resilience or optimism. Additionally, students in higher years of study tend to exhibit stronger resilience and hope. The research concludes that, among all PsyCap components, hope is the most influenced by external factors like location and employment. Nevertheless, internal resources remain crucial in shaping the overall psychological resilience of students during challenging times.
SPECIFICS OF GAINING ECONOMIC INDEPENDENCE BY REFUGEES FROM UKRAINE
(Університет імені Альфреда Нобеля, Дніпро, 2023) Momot, Volodymyr; Lytvynenko, Olena; Zairzhanov, Sherzod
The article examines the problems of the emergence and development of the flow of refugees from Ukraine during the first half of 2022 as a complex phenomenon that depends on rational (economic) and irrational (social-psychological) factors. The phenomenological model, created on the basis of the Burgers’ equation, which reproduces the process of the involvement of the new refugees to the flow and the resistance of the environment to the formation of this flow, made it possible to analyze such subtle effects as the existence of a hub country, where the initial accumulation of refugees takes place, followed by redistribution, and the influence of infrastructure problems in the exit country. Transitional regimes from the infrastructural problems prevailing in the country of exit to the predominant influence of the hub-country effects are also considered. It is concluded that the entry to new levels of the refugee flow could be achieved due to the effects of emotional and economic (rational) behavior of refugees replenishing the hub, i.e., a stepwise development of the refugee flow is possible if new hubs would be created, or the existing hub will be freed up from overloading. On the basis of mathematical modeling, it is shown that in the case when the refugee flow is restrained by infrastructural problems in the exodus country, the exit to the stationary regime is delayed. Identification of the proposed model was carried out based on the empirical data on the refugee flow development using the apparatus of incorrect problems of the mathematical physics. A comparison of the dynamic effects of the refugee flow development from Ukraine with similar processes in Syria and Iraq was carried out, which allowed for identification of the zones of influence of infrastructure problems and the hub effect in the refugee flow development. The use of the concept of refugees’ economic independence (self-sufficiency), which was developed in 2018 by the Office of the United Nations High Commissioner for Refugees, was proposed as a basis for policy formation in the field of refugee assistance. The consequences of the discrete use of this concept in the case of refugees from Syria are analyzed, and the dynamics of employment opportunities for these refugees in countries with similar and different socio-cultural conditions were compared. A conclusion was made about the fundamental difference in the employment trends in those types of countries. The authors formulated proposals regarding the utilization of the Monte Carlo methods and the learning model for researching the peculiarities of the process of Ukrainian refugees achieving a certain level of economic independence (self-sufficiency), determining the typical time of reaching such a level, obtaining the distribution of probabilities of getting the first job depending on the initial competencies and skills of refuges, their education, experience, and foreign languages mastery.
SPECIFICS OF GAINING ECONOMIC INDEPENDENCE BY REFUGEES FROM UKRAINE
(Університет імені Альфреда Нобеля, Дніпро, 2023-02-27) Момот, Володимир Євгенійович; Литвиненко, Олена; Заържанов, Шерзод
The article examines the problems of the emergence and development of the flow of refugees from Ukraine during the first half of 2022 as a complex phenomenon that depends on rational (economic) and irrational (social-psychological) factors. The phenomenological model, created on the basis of the Burgers’ equation, which reproduces the process of the involvement of the new refugees to the flow and the resistance of the environment to the formation of this flow, made it possible to analyze such subtle effects as the existence of a hub country, where the initial accumulation of refugees takes place, followed by redistribution, and the influence of infrastructure problems in the exit country. Transitional regimes from the infrastructural problems prevailing in the country of exit to the predominant influence of the hub-country effects are also considered. It is concluded that the entry to new levels of the refugee flow could be achieved due to the effects of emotional and economic (rational) behavior of refugees replenishing the hub, i.e., a stepwise development of the refugee flow is possible if new hubs would be created, or the existing hub will be freed up from overloading. On the basis of mathematical modeling, it is shown that in the case when the refugee flow is restrained by infrastructural problems in the exodus country, the exit to the stationary regime is delayed. Identification of the proposed model was carried out based on the empirical data on the refugee flow development using the apparatus of incorrect problems of the mathematical physics. A comparison of the dynamic effects of the refugee flow development from Ukraine with similar processes in Syria and Iraq was carried out, which allowed for identification of the zones of influence of infrastructure problems and the hub effect in the refugee flow development. The use of the concept of refugees’ economic independence (self-sufficiency), which was developed in 2018 by the Office of the United Nations High Commissioner for Refugees, was proposed as a basis for policy formation in the field of refugee assistance. The consequences of the discrete use of this concept in the case of refugees from Syria are analyzed, and the dynamics of employment opportunities for these refugees in countries with similar and different socio-cultural conditions were compared. A conclusion was made about the fundamental difference in the employment trends in those types of countries. The authors formulated proposals regarding the utilization of the Monte Carlo methods and the learning model for researching the peculiarities of the process of Ukrainian refugees achieving a certain level of economic independence (self-sufficiency), determining the typical time of reaching such a level, obtaining the distribution of probabilities of getting the first job depending on the initial competencies and skills of refuges, their education, experience, and foreign languages mastery

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