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Документ A Novel Method for Determining Weighting Coefficients in the Block Convolution Model of the Managerial Decisions Effectiveness Comprehensive Assessment(2023) Hryhoruk, Pavlo; Khrushch, Nila; Grygoruk, SvitlanaThe development of effective managerial decisions is the most crucial stage in management activities, a necessary condition for ensuring the competitiveness of a business entity. The complexity and high dynamism of the market environment make it essential to consider a large number of partial criteria when choosing the most effective alternative. The analysis of modern studies showed that despite many different approaches to evaluating alternatives, they are mainly based on aggregating initial criteria. Such a procedure can be carried out by applying the technology of comprehensive index assessment. A large number of partial criteria complicates the procedure for constructing a comprehensive index, makes it cumbersome, reduces its informativeness and discriminating ability, and negatively affects the significance of the weighting coefficients. To eliminate these shortcomings, the article considers the procedure of block convolution, in which the initial criteria are first divided into groups according to specific rules. A partial comprehensive index is constructed for each group. At the next stage, they are integrated into a comprehensive index of the effectiveness of alternatives by weighted convolution. For the case of two partial comprehensive indexes, a method of dynamic weighting coefficients has been developed to evaluate each component's importance in their convolution. Its feature is the consideration of a more significant partial comprehensive indicator obtained at the first stage of convolution, which allows for reducing the compensatory influence of another one. For the interpretation of alternatives' evaluation results and the selection of the most suitable as a managerial decision, it is proposed to use the Harrington scale. The paper contains a graphic interpretation of the proposed approach and its practical approbation, which confirms its effectivenessДокумент An Information Algorithm: Advancing Financial Intelligence Management for Economic Security(Ingénierie des Systèmes d’Information, 2023-10) Khrushch, Nila; Grytsyshen, Dymytrii; Baranovska, Tetiana; Hrabchuk, Iryna; Shevchuk, OleksandrThis research aims to establish an optimized information foundation to bolster the effectiveness of financial intelligence management within the system of economic security. The chief scientific objective is to introduce an information algorithm, specifically designed for the management of financial intelligence, to fortify the economic security framework. The focal point of the research is the information support system pertaining to financial intelligence management. The research methodology is anchored in the application of contemporary information modeling methods, supplemented by functional algorithmization of processes. A modern graphic method is employed to enhance comprehensibility and accessibility. As an outcome of the study, a model of an information algorithm is presented, tailored to manage financial intelligence within the economic security system. However, the study acknowledges its limitations and does not incorporate all the elements of economic security assurance. Future research is recommended to delve into the specifics of information security within the financial intelligence management system. A distinct advantage of the proposed information algorithm lies in its graphic representation, enhancing the accessibility of the financial intelligence management system. The research scope is regional, indicating a limitation in the study. Future work should aim to expand the geographic applicability of these findings, enhancing the generalizability and relevance of the study.Документ Analytical and practical aspects of banks expenses' forming(Хмельницький національний університет, 2025) Khrushch, Nila; Gordeeva, TetyanaThe article substantiates theoretical and methodological approaches and applied aspects of forming bank expenses in martial law conditions and banking system transformation. It has been proven that bank expenses cannot be considered an isolated financial indicator but a complex and strategically important element of banking institution management. It is emphasised that the structure and efficiency of cost formation determine the stability of the banking system, its level of financial stability and its ability to adapt. Based on an analysis of the macroeconomic indicators of the banking system of Ukraine and the activities of PJSC AB “Pivdenny”, trends in the volume and structure of costs are outlined, and reserves for their optimisation are identified. Directions for improving cost formation processes are proposed, particularly the introduction of adaptive budgeting, digitisation of operations, differentiation of costs according to their strategic value, and centralisation of non-core functions. It is argued that cost optimisation should be viewed not only as a cost-saving tool, but also as a strategic factor in improving the competitiveness and sustainability of banks in the current environment.Документ Application of Multidimensional Statistical Analysis Technology for Grouping Regions by the Investment Attractiveness Level(SCITEPRESS – Science and Technology Publications, Lda , Setúbal, Portugal, 2023) Hryhoruk, Pavlo; Khrushch, Nila; Grygoruk, Svitlana; Ovchynnikova, OlenaThe paper is devoted to studying multidimensional statistical analysis tools for grouping regions by the level of their investment attractiveness and identifying changes in the structure of regions in the context of the continued destructive impact of the COVID-19 pandemic. An analysis of approaches to assessing investment attractiveness identified their strengths. Insufficient attention to the application of methods of multidimensional statistical analysis to a grouping of regions is stated. The authors consider the clustering of regions of Ukraine in the context of their level of investment attractiveness by the method of k-means and identify their structure according to the level of investment attractiveness in 2019 and 2020 in the context of the COVID-19 pandemic. To verify the correctness of the conclusions, the method of principal components with the rotation of the space of the selected factors by the quartimax technique. Further grouping of regions in the space of selected principal components showed results identical to the application of the cluster analysis method. Potential investors can use the research results to determine priority areas of investment. Also, the results are useful for local self-government bodies, as they provide information on the relative level of investment attractiveness of a specific region compared to other territorial units and also allow identifying weak points in specific areas of activityДокумент Assessing Bank Financial Security Level Using the Comprehensive Index Technology(Atlantis Press, Paris, 2019) Григорук, П.М.; Григорук, Павло Михайлович; Hryhoruk, Pavlo; Khrushch, Nila; Хрущ, Н.А.; Хрущ, Ніла Анатоліївна; Hryhoruk, P.; Khrushch, N.; Ptystupa, L.A.; Приступа, Л.А.; Ваганова, Л.; Vahanova, L.The paper is devoted to issues of assessment of the bank financial security level. The analysis of existing approaches to the solution of this problem has been carried out. The scientific-methodological approach based on the use of comprehensive index technology is proposed. The calculating algorithm is presented in the form of a four-step procedure, which contains the definition of the initial set of data, their normalization, the calculation of the comprehensive index of financial security and results interpretation. The identification of financial security levels and the boundaries of the corresponding comprehensive index is carried out on the basis of analysis of the objects’ configuration in the two-scale space of partial composite indexes. It constructed by the division of the set of initial indicators using the its content characteristics. The grouping results are matched with similar results are obtained by cluster analysis and the method of the principal components. The article presents the practical implementation of the proposed calculation procedure. For this purpose, a training sample of banks and a set of initial indicators was formed. The obtained results allowed to determine the number of levels of financial security and their boundaries. The financial security levels established for the analyzed banks as a result of the calculations are conditional and determined by the sample.Документ Assessing the Impact of COVID-19 Pandemic on the Regions’ Socio-Economic Development: The Case of Ukraine(2021) Григорук, Павло Михайлович; Хрущ, Ніла Анатоліївна; Григорук, Світлана Сергіївна; Приступа, Л.А.; Горбатюк, К.В.; Hryhoruk, Pavlo; Khrushch, Nila; Grygoruk, Svitlana; Prystupa, Liudmyla; Gorbatiuk, KaterynaSolving the problems of regional development belongs to the category of strategic and most important of each country. The COVID-19 pandemic has become the biggest challenge for the world economic system, causing a significant impact on the reduction of key macroeconomic indicators, changes in business conditions, which has raised the issue of assessing the social and economic development of regions. The paper considers the application of composite index assessment technology for the consequences of COVID-19 on the development indicators of Ukraine's regions. The comparison was conducted according to the data of the first two quarters of 2019 and 2020. For the study, eight indicators were selected, which by content feature were divided into a subset of economic indicators and a subset of social indicators. A partial composite development index was designed for each subset. The principal components method was used to calculate the weights of the components. The results of the analysis showed that the COVID-19 pandemic had a greater impact on economic development: for each region, there is a decrease in the value of the indicator. While for a partial composite index of social development such a decrease is less noticeable. The reflection of the regions in the space of these composite indices showed that their structure remained virtually unchanged. The analysis of the common composite index of regional development, designed by the convolution of partial composite indices indicators, also showed a decrease in its values in 2020. The paper analyses the measures taken by the Government of Ukraine to neutralize the effects of the pandemicДокумент Assessment of Bank's Financial Security Levels Based on a Comprehensive Index Using Information Technology(2020) Khrushch, Nila; Hryhoruk, Pavlo; Hovorushchenko, Tetiana; Lysenko, Sergii; Prystupa, Liudmyla; Vahanova, Liudmyla; Хрущ, Ніла Анатоліївна; Григорук, Павло Михайлович; Говорущенко, Тетяна Олександрівна; Лисенко, Сергій Миколайович; Приступа, Людмила АнатоліївнаThe article considers the issues of assessing the level of financial security of the bank. An analysis of existing approaches to solving this problem. A scientific and methodological approach based on the application of comprehensive assessment technology is proposed. The computational algorithm is presented in the form of a four-stage procedure, which contains the identification of the initial data set, their normalization, calculation of the partial composite indexes, and a comprehensive index of financial security. Results have interpretation. Determining the levels of financial security and the limits of the relevant integrated indicator is based on the analysis of the configuration of objects in the two-scale space of partial composite indexes, which is based on the division of the set of initial indicators by content characteristics. The results of the grouping generally coincided with the results of the banks ranking according to the rating assessment of their stability, presented in official statistics. The article presents the practical implementation of the proposed computational procedure. To automate calculations and the possibility of scenario modeling, an electronic form of a spreadsheet was created with the help of form controls. The obtained results allowed us to identify the number of levels of financial security and their boundaries.Документ Assessment of regions' socio-economic development based on non-metric data(2021) Григорук, П.М.; Григорук, Павло Михайлович; Hryhoruk, Pavlo; Khrushch, Nila; Хрущ, Н.А.; Хрущ, Ніла Анатоліївна; Григорук, С.С.; Григорук, Світлана Сергіївна; Grygoruk, Svitlana; Hryhoruk, P.; Khrushch, N.; Grygoruk, S.Assessment of socio-economic development of both separate territories and countries as a whole, comparison of the received estimations to identify the development disproportions, lacks, and gaps, application of the best practices to decide the revealed problems promotes the development of balanced state regional development policy. Quite common tasks of such assessment are the ranking of regions and their grouping according to some generalized socio-economic development characteristics. The solution to these problems is complicated by the use of a set of indicators of non-numerical nature because traditional statistical methods are unsuitable for their processing. The paper considers the solution to the problem of constructing a consensus rank based on Kemeny's median. To solve the problem of grouping regions, an approach is proposed based on the picture of regions in the space of partial consensus rankings for economic and social development separately, with the subsequent detection of object stratification in this space. The practical implementation of the proposed approach according to partial rankings is given. A heuristic algorithm was used to construct Kemeny's median. The obtained grouping of the regions of Ukraine reproduced as a whole their order following the resulting consensus ranking. Comparison of the obtained results with the known results of solving such tasks, calculated on the set of metric indicators also showed their consistency.Документ Canonical Correlation Analysis in Information Systems for Assessing Economic Growth and Environmental Security Relationships(CEUR-WS, 2025) Hryhoruk, Pavlo; Khrushch, Nila; Grygoruk, Svitlana; Ramskyi, Andrii; Григорук, Павло; Григорук, Світлана; Хрущ, Ніла; Рамський, АндрійThe study presents a comprehensive exploration of canonical correlation analysis applied within advanced information systems for assessing complex interrelations between economic growth indicators and environmental security factors. Leveraging robust computational methodologies and integrated information systems, this research utilizes canonical correlation analysis to quantitatively evaluate relationships between two sets of multidimensional variables: indicators representing economic well being—including GDP per capita, gross fixed capital formation, value-added industrial production, and household expenditures—and variables reflecting environmental threats such as carbon dioxide and greenhouse gas emissions, and natural resource depletion. Data sourced from the World Bank for 136 countries for the year 2020 served as the empirical foundation of the study. The employed computational information system facilitated advanced preprocessing and normalization procedures, essential for ensuring analytical accuracy given substantial variability across datasets. Statistical computations were executed within a structured digital environment, leveraging computational efficiency to identify canonical variables demonstrating maximal correlation. Results indicated a significant canonical correlation coefficient (r = 0.9762), underscoring the robustness of the identified relationships. Further analytical interpretation using Pearson’s pairwise correlation confirmed the validity and significance of these variables within constructed canonical sets. The presented findings reaffirm previous scholarly insights into economic-environmental interdependencies and reinforce the pivotal role of computational analysis supported by sophisticated information systems in elucidating complex socio-economic phenomena. This methodological approach proves indispensable for strategic policy formulation aimed at balancing economic advancement and environmental sustainability, contributing to the broader discourse on achieving sustainable development goals through innovative computational and analytical techniquesДокумент Managerial decision-making using fuzzy preference relations(UTP University of Science and Technology, Bydgoszcz, Poland, 2019) Hryhoruk, P.; Khrushch, N.; Grygoruk, S.; Григорук, П.М.; Хрущ, Н.А.; Григорук, С.С.; Hryhoruk, Pavlo; Khrushch, Nila; Grygoruk, SvitlanaДокумент Methodology of integral evaluation of enterprise financial potential in the information society(2013) Khrushch, Nila; Hrygoruk, PavloCompanies in the Ukraine are presently researching optimal forms of capital and current expense provision in an effort towards resolving their financial problems through quantitative evaluation of enterprises’ real financial ability. Bearing in mind the multidimensional nature of financial potential i.e. large numbers of diverse indexes, it is often impossible to precisely determine its causes and effects and choose the appropriate index from the aggregate. In such cases indexes ought to be correlated to form a system. The study of this system by means of one-dimensional statistical method does not offer the possibility of considering all diversities and complications in the correlation of indexes. It is possible to solve the above mentioned problem by means of data aggregation which aims at creating a compact and visible database, that is suitable for further research, making decisions and drawing conclusions. The concept proposed herein is an composite index system for the construction and interpretation of obtained results. The main hypothesis is its usefulness in describing the phenomenon and in obtaining the similar conclusions as those ob-tained from the whole aggregate of available indicators.Документ Modeling structural changes in the regional economic development of Ukraine during the COVID-19 pandemic(2021) Григорук, П.М.; Григорук, Павло Михайлович; Hryhoruk, Pavlo; Hryhoruk, P.; Хрущ, Н.А.; Хрущ, Ніла Анатоліївна; Khrushch, N.; Khrushch, Nila; Grygoruk, Svitlana; Grygoruk, S.; Григорук, С.С.; Григорук, Світлана СергіївнаThe paper investigates the issues of evaluating structural changes in the regions’ economic development based on the comprehensive index assessment technology. The impact of the COVID-19 pandemic on regional development and changes in the regional structure is considered. The authors propose the use of block convolution to design a comprehensive index based on a set of metric initial indicators that characterize the regions’ economic development. Grouping the set of initial indicators is carried out based on the method of an extreme grouping of parameters and the method of principal components. A weighted linear additive convolution was used to develop partial composite indices and an economic development comprehensive index. The practical approbation was carried out for the regions of Ukraine according to the data of 9 months of 2019 and the same period of 2020. To establish the regions’ structure, we used the division of the comprehensive index values into intervals and further distributing regions into classes according to the level of economic development. There is a general decrease in the value of the integrated indicator in 2020, caused by the impact of the COVID-19 pandemic. However, no significant changes in the structure of the regions were detected, which indicates an equally negative impact of the pandemic for all regions of UkraineДокумент Multidimensional statistical analysis of investment attractiveness and regional changes in the COVID-19 pandemic(2023) Hryhoruk, Pavlo; Khrushch, Nila; Grygoruk, Svitlana; Ovchynnikova, OlenaThis paper delves into an in-depth exploration of multidimensional statistical analysis techniques aimed at categorizing regions based on their levels of investment attractiveness, while also scrutinizing the evolving regional structures in light of the persistent and adverse effects of the COVID-19 pandemic. Through a comprehensive review of various approaches to assessing investment attractiveness, the study highlights their respective strengths. Notably, the research underscores the underutilization of multidimensional statistical analysis methodologies in the regional grouping context. The authors undertake the task of clustering Ukrainian regions based on their investment attractiveness levels, employing the well-regarded 𝑘-means method. This analysis extends to the identification of the regions’ investment attractiveness structure in both 2019 and 2020, amid the COVID-19 pandemic. Substantiating the validity of their findings, the authors employ the principal component method in conjunction with the quartimax technique to rotate the space of selected factors. Remarkably, the subsequent regional grouping in this transformed principal component space mirrors the outcomes of the cluster analysis method. The research outcomes hold practical value for potential investors, enabling them to pinpoint key investment areas. Furthermore, local self-governing bodies stand to benefit from these findings, gaining insights into specific regions’ relative investment attractiveness levels compared to their counterparts, while also uncovering vulnerabilities in distinct activity domainsДокумент Post-COVID-19 economic recovery in the context of SDG8 and SDG9: the case of selected Eastern European countries(2023) Hryhoruk, Pavlo; Khrushch, Nila; Grygoruk, Svitlana; Ovchynnikova, OlenaAssessing the economic development of countries in the context of the tasks defined in the UN 2030 Agenda for Sustainable Development is essential from the point of view of determining progress in achieving the SDGs. It becomes especially relevant in periods of global challenges and disturbances, one of which is the COVID-19 pandemic. The goals of SDG8 and SDG9 contain indicators that are determined mainly by the state of development of the country’s economy, so the analysis of trends in their changes is important in the context of identifying trends in economic growth in general, as well as for evaluating progress in achieving these goals. The purpose of the study is to identify the impact of the COVID-19 pandemic on the economic development of countries to achieve sustainable development goals and assess progress trends in the post-pandemic recovery of the economies of Eastern Europe by analyzing quantitative data from official statistical sources. The object of the study is the economic development of Eastern European countries in the conditions of the COVID-19 pandemic. The study period covers the time range from 2017 to 2021 and includes both the pre-pandemic and pandemic periods. Eight countries of Eastern Europe were chosen as research objects. Indicators of official statistics related to SDG8 and SDG9 sub-goals were selected for analysis. The study showed a significant decrease in the values of most indicators, which was caused by the destructive effect of the pandemic. To assess the possible development trajectory, we calculated the estimated value of indicators for 2022 using the Holt-Winters method. The results showed that, despite some progress in 2021, in 2022, the values of the indicators are decreasing. Such estimates correspond to the trends provided by international institutions. We have built a composite indicator to assess the economic development trend comprehensively. The results of the evaluation confirmed the general trend towards a decrease in the level of economic growth in the context of the goals of SDG8 and SDG9 for all the countries of Eastern Europe selected in the studyДокумент Simulation of financial decision-making process in system of insuring sustainable development(The Academy of Management and Administration in Opole, Publishing House WSZiA, 2016) Hryhoruk, Pavlo; Khrushch, NilaThe approach for modeling the process of financial decision making is considered with taking into account the time factor in order to obtain maximum of effect in the final stage of its implementation. It is based on the use of multistage models. Dependence for determination of the optimal management was constructed which take into account the state of the control system. Necessary direction for control actions at each stage of management is identified. Also the case of management is carried out when there are unspecified number of stages.Документ Using a comprehensive index technology to analyze structural changes in the regions’ economic development in a COVID-19 pandemic: the case of Ukraine(2021) Григорук, П.М.; Григорук, Павло Михайлович; Hryhoruk, Pavlo; Khrushch, Nila; Хрущ, Н.А.; Хрущ, Ніла Анатоліївна; Григорук, С.С.; Григорук, Світлана Сергіївна; Grygoruk, Svitlana; Hryhoruk, P.; Grygoruk, S.; Khrushch, N.The paper investigates the issues of evaluating structural changes in the regions' economic development based on the comprehensive index assessment technology. The impact of the Covid-19 pandemic on regional development and changes in the regional structure is considered. The authors propose the use of block convolution to design a comprehensive index based on a set of metric initial indicators that characterize the regions' economic development. Grouping the set of initial indicators is carried out based on the method of an extreme grouping of parameters and the method of principal components. A weighted linear additive convolution was used to develop partial composite indices and an economic development comprehensive index. The practical approbation was carried out for the regions of Ukraine according to the data of 9 months of 2019 and the same period of 2020. To establish the regions' structure, we used the division of the comprehensive index values into intervals and further distributing regions into classes according to the. There is a general decrease in the value of the integrated indicator in 2020, caused by the impact of the Covid-19 pandemic. However, no significant changes in the structure of the regions were detected, which indicates an equally negative impact of the pandemic for all regions of Ukraine.Документ Using Non-Metric Multidimensional Scaling for Assessment of Regions’ Economy in the Context of Their Sustainable Development(2020) Hryhoruk, Pavlo; Grygoruk, Svitlana; Khrushch, Nila; Hovorushchenko, Tetiana; Григорук, П.М.; Григорук, Павло Михайлович; Григорук, С.С.; Григорук, Світлана Сергіївна; Хрущ, Н.А.; Хрущ, Ніла Анатоліївна; Говорущенко, Т.О.; Говорущенко, Тетяна ОлександрівнаSolving the problems of regions’ socio-economic development is strategic and most important for any country. In particular, the implementation of a new, active role of the region as a subject of sustainable development is important for the direct implementation of current regional policy. An important component of such a policy is the assessment of sustainable development of regions, which contributes to the timely detection of internal and external threats, the development of necessary stabilizing measures to prevent their negative impact, the formation of strategies aimed at sustainable regional systems. The economic system is an important subsystem of the region. The article proposes an approach to assessing the regions’ economic development in the context of ensuring their sustainable development. We used the methods of multidimensional nonmetric scaling to solve this problem. The study aims to determine the structure of regions in the context of their sustainable development. Based on non-metric data reflecting the economic development of Ukraine’s regions, two-dimensional space of latent scales was built based on multidimensional measures of proximity between them, and the positioning of regions in this space was carried out. The results received a semantic interpretation, which was improved by using the procedure of rotation of the scale space. The use of multidimensional non-metric scaling confirms its usefulness for the study of economic development of regions in the region and allows for their comparison and dynamics of their structure in the context of sustainable development.Документ Формування модельного базису системи управління фінансово-економічною безпекою(Братислава-Харьков, ВШЭМ – ХНЭУ им. С. Кузнеца, 2021) Григорук, П.М.; Григорук, Павло Михайлович; Hryhoruk, Pavlo; Khrushch, Nila; Хрущ, Н.А.; Хрущ, Ніла Анатоліївна; Пайонк, О.П.; Хрущ, В.О.Розглядаються питання, пов’язані з формуванням системи управління фінансово-економічної безпеки суб’єктів господарювання. Наведений аналіз досліджень в цій царині, який дозволив виявити основні результати та визначити перелік завдань, вирішення яких є ключовими при формуванні та розвитку системи управління фінансово-економічної безпеки. Встановлено, що важливим інструментом в процесах формування та ухвалення науково-обґрунтованих управлінських рішень стосовно вирішення виокремлених завдань є економіко-математичне моделювання. Ґрунтуючись на цих завданнях та узагальнюючи результати проведених досліджень, сформовано структуру модельного базису системи управління фінансово-економічною безпекою.