Факультет бізнесу та права
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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.