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Item type:Наукова стаття, Economic and mathematical modeling of integration influence of information and communication technologies on the development of e-commerce of industrial enterprises(Little Lion Scientific, 2023-05) Kryvovyazyuk, Igor; Britchenko, Igor; Kovalska, Liubov; Oleksandrenko, Iryna; Pavliuk, Liudmyla; Zavadska, OlenaThis research aims at establishing the impact of information and communication technologies (ICT) on ecommerce development of industrial enterprises by means of economic and mathematical modelling. The goal was achieved using the following methods: theoretical generalization, analysis and synthesis (to critically analyse the scientific approaches of scientists regarding the expediency of using mathematical models in the context of enterprises’ e-commerce development), target, comparison and grouping (to reveal innovative methodological approach to assessing ICT impact on e-commerce development of industrial enterprises), tabular, analytical and integral method (for summarizing the analysis results of enterprises readiness to implement ICT, ICT use in the activities of industrial enterprises of Ukraine and the analysis of e-commerce development), mathematical modelling (to build a regression model determining impact of changes in ICT use on the market share occupied by industrial enterprises), generalization (to determine promising directions of e-commerce developing of industrial enterprises). The implementation of a comprehensive approach to understanding the importance of ICT influence on e-commerce development of industrial enterprises will ensure acceleration of the digitalization of business processes, will contribute to the speed increase of enterprises response to customer requests, and increase the market share occupied by enterprises. A new vision of directions for developing e-commerce of industrial enterprises is suggested, which are determined by the need for enterprise rebranding, the development of e-commerce tools and technologies, the importance of outsourcing service automation and promotion of subscription trade. ICT is considered as integration factor that determines prospects for e-commerce development of industrial enterprises and contributes to increasing efficiency of online business management. Research results demonstrate that the use of economic and mathematical modelling is an important tool for assessing ICT impact, and its absence can negatively affect the accuracy and validity of online business management.Item type:Наукова стаття, Business diagnostics as auniversal tool for stady f state and determination of corporations development direction sand strategies(Tianjin, 2021-02) Kryvovyazyuk, Igor; Otlyvanska, Galyna; Shostak, Liudmyla; Sak, Tatiana; Yushchyshyna, Larysa; Volynets, Iryna; Myshko, Olha; Oleksandrenko, Iryna; Dorosh, Viktoriia; Visyna, TetianaThe aim of the article is to show how the use of diagnostic methods allows identifying patterns and problems of corporations functioning, providing identification of directions and strategies for further development of their business. Theoretical and methodological basis of the research is a scientific works of scientists in the field of business diagnostics and strategic development, who studied diagnostics in the system of responding to business development problems, identifying areas for improving strategic management, financial statements of corporations of Daimler Group (Germany), Tesla Motors (USA) and Toyota Motor (Japan) and own research results. The methodological basis of the study is a set of general and special methods used to achieve the goal of the research and includes: theoretical generalization and synthesis – in analyzing the content of scientific works on business diagnostics and strategic management; observation – to obtain primary information about the state of business of automotive companies in the world; indicator and integrated assessment – to assess the state of business and the effectiveness of strategic management of automotive corporations; information and logical analysis – when determining the issues and patterns of business development of corporations; problem-target method – to justify the choice of business development strategies; causation-result method – to obtain definitive conclusions. The results of the study of the state of business of the world's leading automotive corporations revealed the dependence of business efficiency on the degree of efficiency of strategic management of their activities, and identified types of strategies that will promote further development of automotive corporations – integrated, concentrated, diversified or globalized growth. The practical significance of the obtained results lies in their usefulness for strategic management for Daimler Group, Tesla Motors, Toyota Motor Corporation.Item type:Наукова стаття, ASSESSMENT OF THE IMPACT OF FINANCIAL AND NON-FINANCIAL INSTRUMENTS ON EQUITY AND CASH FLOWS AS THE BASIS FOR DECISION-MAKING TO INCREASE ENTERPRISE MARKET CAPITALIZATION(FTA, FINTECHALLIANCE, 2024-08-31) Vakhovych, Iryna; Kryvovyazyuk, Igor; Kovalchuk, Nadiia; Kovalska, Liubov; Dorosh, Viktoriia; Burban, OleksandrThe market capitalization of an enterprise is one of the key indicators that characterize the degree of influence of financial and non-financial instruments on its volumes and dynamics. Establishing the relationship between such instruments and metrics of equity and cash flows best outlines the plane of their direct impact on stimulating market cap-italization and implementing effective management measures in the context of optimiz-ing the use of equity and cash flows. The purpose of the study is to establish how the impact of indicators of financial and non-financial instruments on equity and cash flows forms an appropriate basis for making managerial decisions to increase the market cap-italization of enterprises. As a result of the study, the toolkit for increasing the market capitalization of the enterprise from the standpoint of its grouping in terms of financial and non-financial plane was clarified. It was found that among the 36 analyzed indica-tors of the impact on equity and cash flows of the studied machine-building enterprises in Ukraine during the period 2010-2021, the most significant are bank lending, invest-ment and technical metals, research and development costs, foreign scientific and tech-nical services received, production investments, work-in-progress, and accounts paya-ble for products, goods, and services. The results were transformed into a model of ranked instruments for stimulating the market capitalization of machine-building enter-prises, which demonstrates the degree and directions of the influence of indicators of financial and non-financial instruments on the dynamics of equity and cash flows, which ensures the formation of an information database for making decisions on the further use of such instruments. The structuring of the toolkit serves as the basis for forming a system of management decisions containing practical recommendations within each group of instruments aimed at optimizing market capitalization through increased equity and cash flows of the enterprise. The obtained results will be beneficial to financial analysts of enterprises in preparing databases for making financial and non-financial decisions.Item type:Наукова стаття, Development of a smart personnel security system using machine learning(CEUR Workshop Proceedings, 2025-09-25) Kryvovyazyuk, Igor; Bilychenko, Maksym; Kasianova, Nataliia; Smerichevskyi, Serhii; Lavrynenko, OleksandrInsider threats remain one of the most challenging aspects of organizational security, particularly in the era of digital transformation and widespread remote access to sensitive data. This study proposes a machine learning–based approach to personnel security that combines Isolation Forest and Local Outlier Factor algorithms with behavioral features enhanced through the use of large language models (LLMs). To improve detection accuracy, user web activity was classified using LLM-generated labels derived from website content analysis. Experimental results demonstrate strong model performance in identifying insider activity at the user level, with high detection accuracy and minimal false classifications. In addition, time-to-detection analysis revealed that most insider threats were identified before or shortly after the onset of malicious behavior. The findings suggest that the proposed system is not only effective in capturing behavioral anomalies but also feasible for real-time deployment in enterprise environments.