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Документ Spatial organization management: modeling the functioning of eco-clusters in the context of globalization(The Consulting and Training Centre KEY, 2022) Ievgen Ovcharenko; Olga Khodakivska; Larysa Sukhomlyn; Shevchenko, Olena; Lemeshenko, Iryna; Martynov, Andrii; Zos-Kior, Mykola; Hnatenko, Iryna; Michkivskyy, Sergiy; Bilyavska, Liudmyla; Мічківський, Сергій МиколайовичThe issue of spatial organization of eco-clusters has always been under the close attention of scientists. Greening of production, resource conservation, economical use of natural resources, increasing the greenhouse effect and industrial emissions are forcing market stakeholders to plan cluster associations aimed at minimizing the negative impact of human activities on the environment. At the same time, this issue is extremely complex and needs careful study. In particular, the concept of formation and location of eco-clusters in the context of globalization should be based on the institutional environment, legislative field, labor market and other territorial conditions where the eco-cluster is planned to be located. It is important to form a cluster core, which will be the administrative center of eco-cluster management. In this regard, the purpose of the article is to model the activity of ecoclusters based on a neural network approach to the management of their spatial organization. In this research, on the basis of training a neural network using regional indicators of institutional support and development of the labor market, the solution to the problem of the spatial organization of eco-clusters on the territory of Ukraine is described. The authors used the tools of artificial intelligence to model the spatial location and organization of ecoclusters. They proceeded from the premise that in each territory there is a certain set of labor, institutional, production, technological, managerial and information resources, the successful use of which will allow to effectively modeling cluster associations, and propose to recombine eco-clusters using the method of neural modeling. The input data for modeling eco-clusters is the use of 3,102 units of indicators by the neural network, which characterize the institutional and resource provision of a particular region of Ukraine. Given the wide range of input digital data, their various definitions (absolute or relative) neural network makes it possible to automatically summarize and organize them. After completing the training of the neural network, analysis of errors and deviations, we obtain spatial graphical images of the optimal location of eco-clusters in Ukraine. The proposed neural network approach makes it possible to optimize the process of economic and statistical modeling of a significant array of data characterizing the main parameters of the environment in which ecological cluster associations operate. The trained neural network allowed obtaining a map of the optimal location of eco-clusters, taking into account the available in a particular area of institutional, informational, innovative, technological and other types of resources. Based on the theory of synergetic systems, such a spatial arrangement of the eco-cluster will allow in the best ways to use available resources for their accumulation and multiplication in the cluster. The proposed neural network approach makes it possible to optimize the process of economic and statistical modeling of a significant array of data characterizing the main parameters of the environment in which ecological cluster associations operate. The method of spatial modeling of eco-clusters proposed by the authors using the tools of artificial intelligence allows determining the best administrative centers of cluster development that can strengthen the territorial socio-economic development based on innovation and economical production. The step-bystep process of eco-cluster modeling presented by the authors will allow all stakeholders interested in the market to use artificial networks in the process of planning progressive spatial development. In addition, the proposed method of modeling eco-clusters, neural network activation and training do not require significant financial, technical and labor resources, which is a positive phenomenon in the context of ensuring resource-saving development of any area.Документ Digitization of the Production Process: An Example of The Use of RFID Technologies For Modern Enterprises(Transnational Press London Ltd, 2024) Denysov, Oleg; Litvin, Nataliia; Lotariev, Andrii; Oliinyk, Vitalii; Денисов, Олег Євгенійович; Літвін, Наталія Миколаївна; Лотарєв, Андрій ГригоровичThe purpose of the study is to improve the efficiency of the production process of engineering enterprises. The object of study is enterprise engineering. The scientific task is to determine the most optimal RFID technologies to improve the accuracy and efficiency of the production process of engineering enterprises. The technique involves the use of the Saaty method of hierarchies and pairwise comparison. As a result, the most optimal and effective RFID technologies were selected to improve the production process of engineering enterprises through hierarchical ordering of the most significant RFID technologies that affect the production process of engineering enterprises. One limitation of this study is its exclusive focus on RFID technologies, which may not take into account the potential of other technology solutions to improve manufacturing processes. In addition, the use of Saaty's method of hierarchies and even comparison may introduce subjectivity into the selection of optimal technologies, since the results depend on expert assessments. Prospects for further research may include comparison of RFID with other modern technologies that are being implemented in engineering enterprises to ensure greater objectivity and completeness of the analysis. Also, an important aspect of future research could be a detailed analysis of the impact of RFID implementation on the economic efficiency of production and employee workload.Документ Modern Economic-Legal Methods of Using Artificial Intelligence in An Educational Company: Information Technology to To Self-Development and Scientific Activity(Transnational Press London Ltd, 2024) Pazieieva, Anna; Smolinska, Olesia; Syniuk, Oksana; Turytsya, Olya; Leskiv, Halyna; Пазєєва, Ганна МихайлівнаThe main goal of the article is to highlight the most dangerous threats of artificial intelligence in an educational company and to formulate economic and legal methods to counter them. The object of the study is the key information technologies of an educational company. The scientific task is to conduct a detailed study of the system for using information technologies in an educational company and the subsequent formation of the most effective economic and legal methods of countering threats in this area. The methodology includes methods of system analysis, graph theory, pairwise comparison and hierarchical analysis. As a result, a number of key threats to artificial intelligence in theeducational company were identified, methods to counter them were formed. In addition, key countermeasures were identified. The study has limitations because it takes into account only a limited number of threats of the functioning of an individual educational companyДокумент The influence of social media on psychological well-being: Examination and outlook(Malque Publishing, 2024) Ordatii, Nataliia; Nykonenko, Olena; Barbashova, Iryna; Klymenko, Ivan; Hrytsaniuk, Vita; Никоненко, Олена ВікторівнаThe article is dedicated to assessing the impact of social networks on the mental health of the population. Social networks have gained global popularity and are integral to modern life. Currently, social networks are platforms for personal development, communication skills, and socialization, searching for like-minded individuals and new friends, maintaining personal blogs, distance learning, and work. This study aims to analyze the impact of social networks on the mental health of the population and assess the possible perspectives of this influence. Theoretical methods were used to achieve the set goal: studying, analyzing, and systematizing scientific literature data. Currently, approximately 60% of the world's population uses social networks, with approximately 40% of users using them not only for entertainment and relaxation but also for work and education, which determines their socioeconomic significance. According to statistics, the most popular social networks worldwide are Facebook, YouTube, WhatsApp, Instagram, WeChat, and TikTok. In addition, most social media users are registered in one or several of them. On the one hand, social networks can help people communicate regardless of distance, acquire new knowledge, meet like-minded individuals, exchange ideas, and increase social support. On the other hand, their excessive use is associated with the development of addiction, low self-esteem, levels of anxiety and depression, and deterioration of social and physical health. These problems are particularly acute with increasing time spent in the virtual world. Therefore, in recent years, there has been increased interest in studying the impact of social networks on the health of the population as a whole and persons in particular and in developing and implementing effective methods to prevent the negative aspects of their us. This is a promising direction for further research. © 2024 Malque Publishing. All rights reserved.Документ Managing Weak Signals In The Foreign Economic Activity of a Modern Enterprise: Preventing a Decrease in the Financial and Economic Security with a Strategic Approach to Solving the Problem(Transnational Press London Ltd, 2024) Alkema, Viktor; Hryhoruk, Pavlo; Skhidnytska, Halyna; Senyk, Sviatoslav; Mykytyn, Oleh; Алькема, Віктор ГригоровичThe main purpose of the article is to create a system for responding to weak signals in the foreign economic activity of a modern enterprise. The scientific task is to form models of response and management of weak signals in the foreign economic activity of a modern enterprise, in the context of preventing a decrease in the financial and economic security of the enterprise. The proposed approach is based on the use of methods of DFD and functional modeling. As a result, two key models were formed: the first is the main model of management decision-making in the system of responding to weak signals and the second is the management functions for responding to weak signals. Our research makes an innovative contribution by integrating DFD and functional modeling methodologies to develop comprehensive models that provide deeper and more effective understanding of managerial decision-making in the context of responding to weak signals in a dynamic foreign economic environment.Документ The Role of Online Media in Shaping Public Opinion about the Prospects for Peace and Military Conflict(Pakistan Society of Criminology, 2024) Marukhovskyi, Oleg; Marukhovska-Kartunova, Olga; Kolybabiuk, Svitlana; Pavlova, Liudmyla; Karchevska, Olena; Маруховський, Олег Олександрович; Маруховська–Картунова, Ольга ОлександрівнаThe aim of the article is to find out the connection between online media and the manifestations of the components of public opinion about the military conflict and the prospects for peace. The study uses methods such as content analysis, scaling, and correlation analysis. In the study, the hypothesis of the connection between online media content and societal changes in public opinion in Ukraine during the war was confirmed. It was determined that society’s confidence in victory was significantly related to changes in online media’s information field. The attitude towards the Armed Forces of Ukraine correlates only with the perception of news about military operations. The disposition towards the Ukrainian governing bodies is not contingent upon the interpretation of digital media content. The desire to continue the fight correlates with the war awareness level and reporting on domestic politics in digital media. The idea of future peace in public opinion is closely related to the idea of justice and victory broadcast in online media. © 2024, Pakistan Society of Criminology. All rights reserved.Документ Research and methodological basis for ensuring the financial security of banks in Ukraine(LLC CPC Business Perspectives, 2018) Balatskyi, Ievgen; Andrieieva, Vita; Solodovnik, Olesia; Lypchanskyi, Volodymyr; Андрєєва, Віта АнатоліївнаIn an unstable financial and economic, political and social context, a number of Ukrainian banks demonstrate downtrends in their profitability, liquidity, and solvency rates. With that, the financial health and the growth vector of the whole banking sector of the country in the strategic perspective precisely depends on the quality of measures taken to ensure the financial security of a banking institution. The article analyzes the concept of financial security of a bank from the standpoint of protective, dynamic, resource-functional, competitive and systemic approaches. The authors substantiate that the financial security of the banking system as a whole and that of an individual bank is an integral part of the financial security of the country. In addition, three methodological approaches to assessing the financial security of the country’s banking sector are identified and described, namely instrumental, system and target-oriented and criterial ones. Based on theoretical and methodological analysis of scientific works and methodological approaches, a system of research and methodological support for the bank’s financial security is proposed. © The author(s) 2019Документ Structural modeling of the impact of bank nonperforming loans on the banking sector: the Ukrainian experience(LLC CPC Business Perspectives, 2020) Bondarenko, Eugenia; Zhuravka, Olena; Aiyedogbon, John O.; Sunday, Ologunla Emmanuel; Andrieieva, Vita; Андрєєва, Віта АнатоліївнаThe paper aims to develop scientific and methodological approach to assessing the interaction of nonperforming loans of Ukrainian banking institutions, the profitability of the banking sector and its financial stability, which will allow a more detailed assessment of the directions and degree of mutual influence of these elements. To substantiate this interaction economically and mathematically, structural equation modeling was chosen. Particularly, Statistica was chosen as a software tool to assess the adequacy of the resulting model and determine the level of statistical significance of its parameters. Six key indicators were selected as a research information base, two for each subject of research: indicators of nonperforming loans in the banking sector (the volume of nonperforming loans and the ratio of problem loans excluding capital reserves), profitability indicators of the Ukrainian banking sector (assets profit and rate of return on capital), and indicators of financial stability of the Ukrainian banking sector (regulatory capital-to-risk-weighted assets ratio and liquid assets-to-total assets ratio). For calculations, statistic data of selected indicators for 2005-2019 were used. As a result of calculations, mathematical data were obtained that accurately described the interaction of nonperforming loans of Ukrainian banking institutions, the profitability of the banking sector and its financial stability. The adequacy of the model was verified based on the following criteria: main summary statistics (ICSF criterion, ICS criterion, discrepancy function, maximum residual cosine), noncentrality fit indices (noncentrality parameter, population noncentrality parameter, Steiger-Lind RMSEA index, McDonald noncentrality index, adjusted population Gamma index), other single sample indices (Akaike information criterion, Schwarz criterion), and a normal probability plot. © Eugenia Bondarenko, Olena Zhuravka, John O. Aiyedogbon, Ologunla Emmanuel Sunday, Vita Andrieieva, 2020Документ Theoretical aspects of human capital formation through human potential migration redistribution and investment process(VGTU, 2020) Podra, Olha; Kurii, Liliia; Alkema, Viktor; Levkiv, Halyna; Dorosh, Oleh; Алькема, Віктор ГригоровичOur research is devoted to the investigation of theoretical aspects of human capital formation through human potential migration redistribution and investment process. This topic was chosen because in the modern conditions human potential development becomes one of basic factors of the competitiveness and economic growing of countries. Migration redistribution becomes an effective mean of indemnification of human potential losses, gives additional possibilities to its development financing, quantitative increase and additional innovative changes in the context of information society and knowledge-based economy development. The detailed analysis of the human potential development and implementation on the global labor market, the emergence of the migration cycle, and process of human potential transformation to capital that is able to provide the socio-economic and individual effects receiving was conducted in the article. Results of this study have theoretical and practical significance. They can be used as a basis for further scientific studies in this field and can be used by state institution in the direction of strategic management of human resources through the human potential migration redistribution and investment process that implies expansion of investment instruments, market infrastructure subjects development all this may provide the reception of material or status effects as a result of human potential capitalization in the labour market. © 2020 The Author(s).Документ Theoretical Base of Modeling the Project Team with a Service Technical Systems by Simulatio(IAEME Publication, 2020) Alkema, Victor G.; Darushyn, Oleksandr V.; Vorkut, Tetiana A.; Bilonog, Okcana Ye.; Tretinichenko, Yuriy O.; Алькема, Віктор ГригоровичThe article proposes a system of simulation for the formation of crews of ships. The main directions of simulation modeling are described, which allow to optimize the volume of work of the team during the operation of the vessel. The model allows you to control: time of each event; the duration of each work; the amount of marriage detected in the work; the duration of the work that is performed repeatedly in connection with the detection of marriage; the total duration of the completion of the repair process of the technical system; the total amount of labor of the project team - the crew of the ship. © IAEME Publication.