Кафедра цифрових технологій та проєктно-аналітичних рішень (ЦТПАР)

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Analysis of the stability factors of Ukrainian banks during the 2014–2017 systemic crisis using the Kohonen self-organizing neural networks
(LLC “Consulting Publishing Company “Business Perspectives”, 2019) Mints, A. Yu.; Marhasova, V.; Hlukha, H.; Kurok, R.; Kolodizieva, T.; Мінц, О. Ю.
The article proposes an approach to analyzing reliability factors of commercial banks during the 2014–2017 systemic crisis in the Ukrainian banking system, using the Kohonen self-organizing neural networks and maps. As a result of an experimental study, data were obtained on financial factors affecting the stability of a commercial bank in a crisis period.It has been concluded that during the banking crisis in Ukraine in 2014–2017, the resource base of a bank was the main factor of this bank stability. The most preferred sources of resources were funds from other banks (bankruptcy rate of 5.7%) and le-gal entities (bankruptcy rate of 8%), and the least stable were funds from individuals (bankruptcy rate of 28.5%).The relationship between financial stability and the amount of capital and the structure of bank loans is less pronounced. However, one can say that banks that focused on lending to individuals experienced a worse crisis than banks whose main borrowers were legal entities.The tools considered in the article (the Kohonen self-organizing neural networks and maps) allow for efficiently segmenting data samples according to various criteria, including bank solvency. The “hazardous” zones with a high bankruptcy rate (up to 49.2%) and the “safe” zone with a low rate of bankruptcy (6.3%) were highlighted on the map constructed. These results are of practical value and can be used in analyzing and selecting counterparties in the banking system during a downturn.
Assessment of the EU Countries’ Economic Security based on the Composite Indicators
(Rutgers University, New Jersey, 2022) Khadzhynova, O.; Simanaviciene, Z.; Mints, A. Yu.; Burak, P.; Khachatrian, V.; Мінц, О. Ю.
The authors propose an integral indicator of the economic security of a country, based on a study of economic, social, political and environmental indicators of security of 28 European Union countries. The study used panel regression methods, correlation analysis, nonlinear approximation, graphical methods. The research results make it possible to explain up to 58% of the variations in the studied indicators. The calculated values of the integral indicator of economic security correspond to empirical data. The indicator proposed by authors comprehensively characterizes the current state of the country’s economic security in the economic, social, political and environmental spheres. This indicator makes it possible to determine the level and disproportions of the country’s development and can become the basis for the formation of directions for ensuring its economic security.
Automatic machine learning algorithms for fraud detection in digital payment systems
(PC TECHNOLOGY CENTER, 2020) Kolodiziev, O.; Mints, A. Yu.; Sidelov, P.; Pleskun, I.; Lozynska, O.; Мінц, О. Ю.
Data on global financial statistics demonstrate that total losses from fraudulent transactions around the world are constantly growing. The issue of pay-ment fraud will be exacerbated by the digitalization of economic relations, in particular the introduction by banks of the concept of "Bank-as-a-Service", which will increase the burden on payment services. The aim of this study is to synthesize effective models for detecting fraud in digital payment sys-tems using automated machine learning and Big Data analysis algorithms.Approaches to expanding the information base to detect fraudulent transactions have been proposed and systematized. The choice of performance metrics for building and comparing models has been substan-tiated.The use of automatic machine learning algorithms has been proposed to resolve the issue, which makes it possible in a short time to go through a large num-ber of variants of models, their ensembles, and input data sets. As a result, our experiments allowed us to obtain the quality of classification based on the AUC metric at the level of 0.977‒0.982. This exceeds the effectiveness of the classifiers developed by tradition-al methods, even as the time spent on the synthesis of the models is much less and measured in hours. The models' ensemble has made it possible to detect up to 85.7 % of fraudulent transactions in the sample. The accuracy of fraud detection is also high (79‒85 %).The results of our study confirm the effectiveness of using automatic machine learning algorithms to synthesize fraud detection models in digital payment systems. In this case, efficiency is manifested not only by the resulting classifiers' quality but also by the reduction in the cost of their development, as well as by the high potential of interpretability. Implementing the study results could enable financial institutions to reduce the financial and temporal costs of developing and updating active systems against payment fraud, as well as improve the effectiveness of monitoring financial transactions.
Comparison of machine learning methods for a diabetes prediction information system
(CEUR Workshop Proceedings, 2021) Shmatko, O. V.; Korol, O.; Tkachov, A.; Otenko, V.; Шматко, О. В.
Diabetes is a disease for which there is no permanent cure; therefore, methods and information systems are required for its early detection. This paper proposes an information system for predicting diabetes based on the use of data mining methods and machine learning (ML) algorithms. The paper discusses a number of machine learning methods such as decision trees (DT), logistic regression (LR), k-Nearest Neighbors (k-NN). For our research, we used the Pima Indian Diabetes (PID) dataset collected from the UCI machine learning repository. The dataset contains information about 768 patients and their corresponding nine unique attributes. Research has been carried out to improve the prediction index based on the Recursive Feature Elimination method. We found that the logistic regression (LR) model performed well in predicting diabetes. We have shown that in order to use the created model topredict the likelihood of diabetes mellitus with an accuracy of 78%, it is necessary and sufficient to use such indicators of the patient's health status as the number of times of pregnancy, the concentration of glucose in the blood plasma during the oralglucose tolerance test, the BMI index and the result of the calculation. heredity functions "DiabetesPedigreeFunction"
Corporate Social Responsibility Impact on Financial Performance: a Case for the Metallurgical Industry
(University of Naples "Federico II", 2021) Mints, A. Yu.; Kamyshnykova, E. V.; Zherlitsyn, D. M.; Bukrina, K.; Bessonova, A.; Мінц, О. Ю.; Жерліцин, Д. М.
Assessing the impact of methods of corporate social responsibility management on financial performance is one of the key aspects to implement strategic management into practices. There are contradictory results of this impact’s study in the literature due to the difference in the applied methods of measuring variables, errors in models etc. The available literature is still inconclusive about this aspect, in particular, for the metallurgical industry, which plays a significant role in Ukrainian and world economy. The purpose of the paper is to evaluate the impact of corporate social responsibility on the company financial performance and to determine the financial efficiency of socially responsible initiatives for the metallurgical industry in particular. It proposes methodology for assessing the impact of corporate social responsibility on the corporate financial performance, and it uses data from a socially oriented balanced scorecard. The research methodology includes correlation and regression analysis with panel data techniques based on data from a balanced scorecard for a sample of four dominant market participants in the Ukrainian metallurgy in 2010-2018. Authors assess the level of corporate social responsibility by indicators of four perspectives, such as: internal processes, learning and growth, environmental, and relational perspective that characterizes the level of satisfaction of various stakeholder groups with the company’s activities in the field of corporate social responsibility. The initial data for the analysis have been taken from the financial and non-financial statements and results of expert assessment. The study uses linear and panel regression models with fixed and random effects in order to demonstrate the impact of four independent variables (internal processes, learning and growth, environmental, and relational perspectives) on the financial perspective as a dependent variable. The panel effects made it possible to obtain more accurate model’s parameters compared to simple linear regression model. The empirical finding from the study illustrates a strong and statistically significant relationship between the relational perspective, which is a corporate social responsibility indicator, and the financial perspective in the socially oriented balanced scorecard. This means that the costs of creating and maintaining a positive image of metallurgical companies are fully justified by improving their bottom line. Future research directions compare the effectiveness of statistical methods evaluating the impact of corporate social responsibility on the company financial performance with alternative methods, e.g. data mining techniques, in terms of forecasting accuracy.
Criteria for Evaluation of Efficiency of Energy Transformation Based on Renewable Energy Sources
(Economic Laboratory for Transition Research, Podgorica, 2018) Nitsenko, V.; Mardani, A.; Streimikis, J.; Shkrabak, I. V.; Klopov, I.; Novomlynets, O.; Podolska, O.; Шкрабак, І. В.
In the context of shortage of natural resources in Ukraine, the prob-lem of evaluating efficiency of the implementation of renewable energy sources (RES) becomes of particular importance and comes in first place, since its solution will reduce the energy dependence of the state. Theoretical, methodological and practical issues of diver-sification of energy sources and evaluation of their effectiveness have found their development in modern works of domestic and foreign scientists. However, methods proposed by the scientists for evaluating efficiency of the transformation of energy consumption based on RES are purely theoretical and do not fully allow to deter-mine the current state and directions of diversification of energy sources. The research is aimed at improving methodological support and developing criteria for evaluating the efficiency of energy con-sumption transformation based on RES. The article considers the main methods of evaluating efficiency of involving RES in the energy consumption of the state, region and enterprise. Advantages, draw-backs and perspectives of diversifying energy sources based on RES are shown. The system of criteria for evaluating effectiveness of energy consumption transformation based on RES is proposed. It is based on economic, environmental and social efficiency.
A cross-impact analysis of the bank payment card market parameters and non-financial sectors’ indicators in the Ukrainian economy
(LLC “Consulting Publishing Company “Business Perspectives”, 2022) Mints, A. Yu.; Kolodiziev, O.; Krupka, M.; Vyshyvana, B.; Yastrubetska, L.; Мінц, О. Ю.
In Ukraine, card payment systems develop at a rate similar to that of modern digital payment instruments in most European countries. The purpose of the paper is to establish interdependence and explain the nature of changing situations in the market of bank payment cards (BPC) taking into account the dynamics of economic development parameters in non-financial sectors of the Ukrainian economy. The methodology of the study includes graphic methods analyzing the dynamics of economic development indicators and a method for analyzing the cause-and-effect relationship between the studied parameters considered with different lags. Results showed that the most significant parameters for the development of the pay-ment card infrastructure were the level of provision with POS terminals and the share of non-cash transactions. Their correlation with the economic development indica-tors reached 0.97. Up to the stage when the volume of non-cash payments by cards reached 5% of GDP, the impact of the BPC market on the change in the level of eco-nomic development had been insignificant according to the general idea. The develop-ment of the economy up to that point stimulated the development of the BPC market. Subsequently, the BPC market that was already sufficiently developed became one of the drivers aimed at the development of non-financial sectors of the Ukrainian econo-my after overcoming the 5% GDP level.
Developing the Key Attributes for Product Matching Based onthe Item’s Image Tag Comparison
(CEUR Workshop Proceedings, 2020) Cherednichenko, O. Yu.; Yanholenko, O.; Kanishcheva, O.; Чередніченко, О. Ю.
With the constant growth of the number of products on e-marketplaces, buyers feel hard to find and choose items that would satisfy all their needs and expectations. Search and filtering algorithms of recommender systems, although are striving to help users, still fail quite often due to incomplete and inaccurate description of items. The given work suggests to combine analysis of bothitem description and item image in order to construct groups of similar items. Since a person can define whether two items are similar or not looking at two images and a brief description, it is suggested to form a set of similar items based on users’ judgments and then to extract the core of keywords for the specific type of prod-ucts. Further, it is proposed to use the given core to evaluate the similarity of any new itemaddedto the definite group. The case study deals with the building of the core of keywords for sneakers. The developed key attributes allow matching the items with a high precision, thus, proving the effectiveness of the method of the core construction.
Development and Software Imple-mentation of the Hot Blast Stove Computer Model
(CEUR Workshop Proceedings, 2019) Koyfman, O. O.; Simkin, O. I.; Сімкін, О. І.; Койфман, О. О.
Based on the evaluation of the existing methods of regenerative heat exchangers modeling, and, in particular, hot blast stoves ofblast furnaces, an algorithm for calculating of heat exchange in full cycle “on-gas” and “on-blast” was proposed and implemented as a computer application. The computer model includes adjustment coefficients, the values of which were determined based on the database of technological parameters of an actual hot blast stove block.The modeling results correspond to the actual mill data, it showing the adequacy of the developed model. The computer application will be implemented in the au-tomatic control systems of a hot blast stoves block.
Development of a mathematical model to monitoring the velocity of subsidence of charge material column in the blast furnace based on the parameters of gas pressure in the furnace tract
(ПП "ТЕХНОЛОГІЧНИЙ ЦЕНТР"; Український державний університет залізничного транспорту, 2022) Kravchenko, V.; Vorotnikova, Z.; Simkin, O. I. ; Koyfman, O. O.; Кравченко, В. П. ; Воротнікова, З. Є.; Сімкін, О. І.; Койфман, О. О.
A problem of estimating the velocity of subsidence of a column of charge materials using non-contact methods was considered. This is important because the level of furnace charge materials and the velocity of their subsidence are main indicators of melting intensity determining the furnace productivity.The design of a blast furnace and its blast path were described and existing methods and means of controlling the velocity of charge materials in the blast furnace were analyzed. A mathematical model was presented for estimating the velocity of subsidence of charge materials in a blast furnace based on the magnitude and fluctuations of gas pressure along the furnace shaft height. The model is based on the fact that the furnace gases rise up in the furnace shaft through elementary channels in the column of charge materials consisting of a combination of capacitances and resistances. Volume of capacities and values of resistance of elementary channels are constantly changing. This changes hydraulic resistance to gas movement in the blast furnace. The system of differential equations describes the dependence of the amplitude of pressure fluctuations on the amplitude of change in coefficients of resistance and frequency of pressure fluctuations on the frequency of change in coefficients of resistance. The experimental data on velocity of the column of charge materials and fluctuations in the pressure differential in the furnace were processed and their significant relationship was shown to confirm the previous theoretical study results. To assess the model adequacy, the simulation method was used. The results of the simulation model work were confirmed by experimental data.The developed mathematical model can be introduced into production. This will make it more economical and safer through better and more predictable control and improved flexibility in operation under different production conditions
Development of agent-oriented software components to retrieve the marketing information from the web
(Національний технічний університет «ХПІ», 2018) Cherednichenko, O. Yu.; Melnyk, K. V.; Kirkin, S. V.; Sokolov, D. V.; Matveiev, O. M.; Чередніченко, О. Ю.; Матвєєв, О. М.; Мельник, К. В.; Кіркін, С. В.; Соколов, Д. В.
The article is devoted to researching the processes of extracting marketing information from the Web space. Conclusions are drawn on the need tointroduce an information marketing system into modern business activities. A decision has been taken to develop software for the collection and analysis of marketing information. Identified and analyzed the main problems of collecting marketing information in the Web space. External systems for extracting and processing marketing information from the Web space were considered. During the analysis of the subject area, functional and non-functional requirements for the software being developed were formulated. Requirements for the selection of technologies for the development of an information system were defined. The analysis of software development technologies is carried out and the approach to the development of a software component is chosen. Such approaches to software development as: object-oriented programming, service-oriented architecture, component-oriented programming, agent-oriented programming were analyzed. A decision has been made to use the agent three-tier architecture in software development. The most commonly used programming languages in programming systems were: Java, KIF, KQML, AgentSpeak, April, TeleScript, Tcl/ Tk, Oz. Analyzed such popular agent platforms and their functions as: JADE, Cougaar, ZEUS, Jason. For the development of software, the JADE platform was chosen, its classes, methods and interfaces were examined. The advantages and peculiarities of the SOLID principle are analyzed. In detail, the levels of the CLEAN architecture are examined. And also explained the possibilities of software implementation of this architecture. A software architecture was developed for the data collection system. In accordance with the requirements, a selection of software development tools has been made. It was decided to use the programming language Java, Spring Framework, GoF design pattern, the template Dependency Injection, SOLID and CLEAN architectural principles. A software component was developed for marketing information gathering systems, which allows to optimize this process. The limitations and ways to improve the software system are analyzed.
The development of human capital in Ukraine: global influences and tendencies
(Інститут економіки промисловості НАН України; Луганський національний університет імені Тараса Шевченка МОН України, 2018) Smyrnova, I. I. ; Simakov, K. I.; Смирнова, І. І.; Сімаков, К. І.
The problems of development of human capital are considered and the preconditions for ensuring its competitiveness in Ukraine are determined. The position of the country in the index of global competitiveness and human capital and its components is investigated. It is determined that the indicator of efficiency of human capital exploitation in Ukraine is the lowest because of the lack of a system of commercialization of technologies. The reasons for the outflow of human capital from Ukraine to the EU countries are determined and ways of overcoming the emigration are proposed. It is proved that in order to ensure the quality of human capital and intensify investment in its development in Ukraine it is necessary to promote the process of innovation development in educational institutions, supplemented by its introduction of innovative technologies in the field of higher education; provide training in accordance with the modern requirements of employers for their mobility, the ability to generate new ideas and readiness to innovate within the strategic objectives of the enterprise.
Development of Niederreiter hybrid crypto-code structure on flawed codes
(ПП "ТЕХНОЛОГІЧНИЙ ЦЕНТР", 2019) Yevseiev, S.; Tsyhanenko, O.; Gavrilova, A.; Guzhva, V. A.; Milov, O.; Moskalenko, V.  V.; Opirskyy, I.; Roma, O.; Tomashevsky, B.; Shmatko, O. V.; Москаленко, В. В.; Шматко, О. В.
Використання модифікованої крипто-кодової конструкції (МККК) Нідеррайтера з додатковими векторами ініціалізації (з множиною неприпустимих позиційних векторів вектора помилок і множиною позицій укорочення вектора помилки) вимагає збільшення швидкодії криптоперетворень системи вцілому. Для цього пропонується використовувати збиткові коди. Збиткові коди дозволяють збільшити швидкість кодових перетворень за рахунок зменшення потужності поля при нанесенні збитку відкритого тексту і зменшити обсяг переданих даних за рахунок нанесення шкоди шифртексту. Такій підхід дозволяє будувати гібридні крипто-кодові конструкції на основі синтезу модифікованих криптокодових конструкцій Нідеррайтера на модифікованих (укорочених або подовжених) кодах на елыптичних кривих з процедурами нанесення збитку. Суттєвою відмінністю від класичних гібридних (комплексних) криптосистем є використання несиметричної криптосистеми для забезпечення безпеки даних з швідкими процедурами криптоперетворень (формування та розкодування кодограми). В роботі розглядаються способи побудови збиткових кодів і підходи використання в гібридної крипто-кодової конструкції Нідеррайтера на модифікованих еліптичних кодах. Пропонуються практичні алгоритми використання механізму нанесення збитку MV2 в крипто-кодової конструкції Нідеррайтера на модифікованих еліптичних кодах, що дозволяє реалізувати гібридну крипто-кодову конструкцію. Наведені результати порівняльної оцінки енерговитрат на формування інформаційної посилки при різних способах нанесення збитку, що визначило вибір способу нанесення збитку в практичних алгоритмах. Проведені дослідження підтвержують конкуренту спроможність запропонованої криптосистеми в Інтернет-технологіях та мобільних мережах, забезпечення практичної реалізації на сучасних платформах та необхідної криптостійкості в умовах постквантової криптографії
Development of the optimization model of the interface of multimedia edition
(Scientific Route OÜ, 2019) Hrabovskyi, Y.; Fedorchenko, V. M.; Грабовський, Є.; Федорченко, В. М.
The aim of the research work is development of a model for optimizing the interface of a multimedia publication. In this research, five levels of interaction are identified for the interface of a multimedia publication – flat surfaces, layouts, structures, feature sets, strategies. The relationship between the levels of user interaction and interface properties of a multimedia publication is analyzed. It is proposed to select interface components based on the properties of the multimedia editions they provide. In order to construct models of optimization of elements of the interface of a multimedia publication, estimates of the interconnection of elements of the interface with functional capabilities by the total matrix are used. To combine the standard models into a single interface optimization model, an analysis of the relationship between the elements of the interface of the multimedia publication and the characteristics of the multimedia publication has been conducted. According to the results of the analysis, an economical tree is constructed, which allows to build a hierarchy of the stages of optimization of the interface of the multimedia publication and to determine the input data for the implementation of the task. The definition of the input data allows to show the principle of the interface optimization model in the form of a "black" box. An algorithm for optimizing the interface element of a multimedia publication is proposed. As a result of the practical implementation of the optimization model for the multimedia edition interface, a software product, created on the basis of HTML markup using cascading CSS style stylesheets and JavaScript language, was obtained. Adobe Device Central CS5 tested the created software on devices with different characteristics.
Dynamics of Forecasting the Development of Renewable Energy Technologies in Ukraine and Chile
(Iran University of Science and Technology, 2020) Babenko, V.; Rayevnyeva, O.; Zherlitsyn, D. M.; Dovgal, O.; Goncharenko, N.; Miroshnichenko, T.; Жерліцин, Д. М.
The processes of transformation of the energy space, namely the impact of alternative energy resources on it, are characterized by changes in the national economy in general and in the energy market in particular. The results of the analysis confirmed the significant dependence of electricity production indicators on renewable sources and such factors as GDP, CO2emissions, total electricity production, which requires improvement of organizational and economic bases for policy development of state support for renewable energy technologies incountries with exogenous factors. The interdependence between electricity production from renewable sources and economic indicators in Ukrainian-Chilean relations using macroeconomic multifactor analysis based on the correlation method allowed to identifythe most influential factors.
Econometric models of monetary policy effectiveness in Ukraine
(ТОВ «ФІНТЕХАЛЬЯНС», 2019) Baranovskyi, O. I.; Kuzheliev, M. O.; Zherlitsyn, D. M.; Sokyrko, O. S.; Nechyporenko, A. V.; Жерліцин, Д. М.
The main task forthe Central Bank is ensuringthe stability of the national currency. For this purpose, it tends to use traditional monetary regulation instruments. There are interest rates regulation, currencies intervention, administrative restriction, money supply adjustmentand so on. A significant number of these traditional tools are effective. However, it is very difficult to assess the effectiveness of the regulators influence.Therefore, the purpose of the work is to define the theoretical substantiation of the basic monetaryregulationinstruments effectiveness and estimate itsinfluence onthe economy growth indicatorsin Ukraine.This article is based on the theoretical principles and methods of macroeconomic analysis; the system approach methods to define the main monetary regulation instruments offinance system and economy. The study presents a regression models with pairedandmultiple variables. For these models R-Studio instruments are the main tools of quality estimation and results interpretation.The article shows the results of statistical analysis of national currency rate and consumer price indexwhichis based on open data of Ukraine economy trends for the period from 2007till2019.Traditionallyeconometric methods are used to find out long run relationships betweenbasic economyindicators (agriculture and industryoutputs, average salary, stock indexgrowth etc.) and both monetary informationandregulation instruments.Authors developthe regressive modelsof influence of Central Bank regulation instruments ofmonetary and economic stability.The paper presents conclusions regarding trends and problems in the implementation of Ukraine’s monetary policy, it’sinfluenceson the currency stability and economic growth trends.Implementation of the proposed measureswill increase monetary policy effectiveness and define the directions of the further research in forecasting inflationary and course-forming factors of the development of the national economy and financial system of Ukraine. Thekey focus of further research is to define an adequate indicator that determines the real level of inflation, which must evaluate a whole range of factors reducing the real value of money.
Experimental substantiation of the NPEMFE geophysical method to solve engineering and geological problems
(Харківський національний університет імені В. Н. Каразіна, 2019) Chushkina, I. V.; Pikarenia, D. S. ; Orlinska, O. V.; Maksymova, N. M.; Чушкіна, І. В.; Пікареня, Д. С.; Орлінська, О. В.; Максимова, Н. М.
Preservation and increasing of soil fertility is the essential problem for the agricultural melioration. It was solved in the most intensive way during the period of 1960s-1980s within the framework of “Large-scale program of the melioration development”. Poor technical condition of the internal economic network of Dnipropetrovsk Region is peculiar for more than 136 thous.habeing 68.6 % of the irrigation land area. That results in considerable filtration losses, which stipulates both increased prime cost of the irrigation water and deterioration of environmental and melioration conditions of the neighbouring territories. Fora long time, reconstruction of the irrigation system has not been financed properly. Implementation of the measures aimed at restoration and development of irrigation is one of the priorities of the Agreement on the Association between Ukraine and the European Union.Nowadays, much attention is paid to diagnostics of technical state of hydroengineering structures (HES) in melioration systems of CC1 structure category (especially, to the retention basins of irrigation systems) involving non-destructive instrumental methods.According to the recommendations of normative documents, it is proposed to determine the zones of in-creased filtration within the earth dam body, protective dams, and reservoir beds using a system of geophysi-cal methods including the following ones: vertical electric sounding (VES), microelectric sounding (MES), electric profiling (EP), and method of natural electric fields (NEF). Unfortunately, the mentioned methods are often rather cost-and labour-consuming ones. That empha-sizes thetopicality of developing and implementing the innovative methods for complex evaluation of tech-nical condition and detection of hidden filtration zones within the bodies of earth HESs. That will help local-ize and maintain timely the identified site makingitpossible to prolong operation period of the object and prevent rise of ground water level within the neighbouring territories.
Features of Conflict Management in the Labor Team of Industrial Enterprise
(Державний заклад «Луганський національний університет імені Тараса Шевченка»; Інститут економіки промисловості НАН України, 2020) Rovenska, V. V.; Ровенська, В. В.
The article analyzes the nature of conflicts and their classification. The typology of creative employees according to Isaksen and Dorval is presented. It is revealed that the conflict is an important form of interaction between people and serves as a means of solving many problems. It is proved that for the choice of an adequate method of influence and management of the corresponding conflict it is expedient to carry out classification depending on the basic signs: a way of the decision; spheres of manifestation; direction of influence; degree of expressiveness; number of participants; impaired needs. The causes of destructive conflicts at the industrial enterprise are determined. Methods of conflict management in the labor collective of an industrial enterprise are presented, as well as the main technologies of conflict management are considered.
Features Of Water Seepage From The Retention Basins Of Irrigation Systems With Different Geological Structures
(AIP Publishing, 2022) Orlinska, O. V.; Pikarenia, D. S. ; Chushkina, I. V.; Maksymova, N. M.; Нapich, H.; Rudakov, L. M.; Roubík, H.; Rudakov, D.; Орлінська, О. В.; Пікареня, Д. С.; Максимова, Н. М.
Topical applied and scientific problem concerning the evaluation of technical condition of retention basins of irrigation systems has been highlighted. The expediency of comprehensive use of geophysical methods of the natural pulsed electromagnetic field of the Earth as well as vertical electrical sounding to identify deformation zones of agricultural hydraulic structures and seepage techniques has been considered making it possible to determine parameters of the disturbed areas. It has been demonstrated that geological (inclusive of tectonic and hydrogeological) features of territorial structure and development are the factor of unsatisfactory technical condition of agricultural hydraulic systems of land-reclamation schemes turned out to be understudied during their design and construction. Localization of zones of water seepage losses to concentrate repair and restoration works within the most disturbed areas will help reduce significantly time and costs while improving the total efficiency of a hydraulic system operation. Hence, the measure emphasizes expediency of further use of the system of geophysical methods.
Financial Sustainability Evaluation and Forecasting Using the Markov Chain: The Case of the Wine Business
(MDPI, 2020) Rekova, N. Yu.; Telnova, H.; Kachur, O.; Golubkova, I.; Balezentis, T.; Streimikiene, D.; Рекова, Н. Ю.
This paper proposes a framework for assessing the financial sustainability of a wineproducing company. The probabilistic approach is used to model the expected changes in the financialsituation of an enterprise based on the historical trends. The case of an enterprise in Ukraine isconsidered as an illustration. The Markov chain is adopted for the forecasting exercise. Using theMarkov chain framework allows one to predict the probability of financial security change forseveral periods ahead. The forecast relies on the transition probabilities obtained by exploiting thehistorical data. The proposed framework is implemented by construction of the financial securitylevel transition matrices for three scenarios (optimistic, baseline and pessimistic). The case studyof a Ukrainian wine producing company is considered. The possibilities for applying the proposedmethod in establishing anti-crisis financial strategy are discussed. The research shows how forecastingthe financial security level of a company can serve in anti-crisis financial potential buildup.