DSpace

Зараз показуємо 1 - 3 з 3

Updating Mechanisms for Cooperation between the State and Business to Stimulate Economic Development
(Ontario International Development Agency, Canada, 2026) Herasymenko, Olena; Smolych, Dariia; Bavyko, Oleksandr; Dmytrenko, Ihor; Martyniuk, Oleksandr
Abstract: Public-private partnership (hereinafter referred to as PPP) is one of the most promising tools for the development of the modern economy, which can attract private investment with high efficiency. Such a tool helps in the modernization of infrastructure and, if necessary, improve the quality of services. In addition, in the context of global economic competition, the use of PPP contributes to sustainable development. The purpose of the article is to study the evolution of public- private partnership as a means of ensuring economic growth. The article is also aimed at identifying the main obstacles and obstacles that prevent the successful implementation of PPP and formulating proposals for increasing the effectiveness of the partnership between the state and business. A set of theoretical methods was used, including synthesis, systematization and generalization. A comparative analysis of PPP practices in different countries was conducted. A systematic approach is used to assess the impact of PPPs on the economy. The current state of PPP development is determined and the main problems are identified – lack of transparent procedures and lack of state support. Successful cases demonstrating the positive impact of PPPs on investment and infrastructure development are analyzed. Recommendations for improving legislation and stimulating partnerships are developed. For the effective development of PPPs, it is necessary to introduce transparent project selection procedures that will increase trust and minimize corruption risks. It is important to expand financial incentives for the private sector, in particular through tax breaks and government guarantees. Strengthening the monitoring of project implementation will ensure their timely implementation and contribute to sustainable economic growth.
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, Oleksandr
Insider 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.
Impact of Global Risks on Economic Downturn in Countries Worldwide: Analysis of the Causes of the Situation and Opportunities for Growth Recovery
(Emerald Publishing Limited, 2025) Kryvoviaziuk, Ihor; Britchenko, Igor; Lipych, Liubov; Kravchuk, Pavlo; Halaziuk, Nataliia; Burban, Oleksandr
The purpose of the article is to study the opportunities for resuming the economic growth of economies, considering the impact of global risks on its dynamics. The article provides a comprehensive analysis of the economic growth dynamics of over 200 countries from 1961 to 2023, revealing a general trend of declining growth rates, which is confirmed by the data of observations of GDP dynamics in the USA, Great Britain, Germany, Albania, Ukraine, Mongolia, China, Paraguay, Indonesia, and Sudan. It is defined that these trends are caused by the negative impact of global risks on the dynamics of economic growth of world countries. A contemporary map of the interconnections of categories and types of global risks is presented, illustrating the intertwining of geopolitical, economic, social, environmental, and technological risks. A selection of the five most influential global risks that affected the economic downturn of the world economy from 2006 to 2023 has been formed through logical-structural analysis and generalization method, demonstrating the predominant influence of economic and environmental factors. The analysis of the unique causes of economic downturn under the influence of global risks, conducted using the Ishikawa diagram, allowed to include a set of economic, environmental, social, geopolitical, technological, and other causes. The proposed political-legal, market, organizational-economic, and financial-investment mechanisms for accelerating economic recovery define the priority directions for restoring economic growth, considering the impact of global risks. The provided suggestions have practical significance for the elaboration of economic development strategies for countries to restore economic growth.

Кафедра логістики та підприємництва

Переглянути

Фільтри

Налаштування

Сортувати за

Результатів на сторінку

Результати пошуку