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Item type:Монографія, Determining the totality of non-governmental business support organizations of Ukraine using machine learning methods(Riga: Baltija, 2025) Smolych, DariiaThe chapter examines the totality of non-governmental business support organizations in Ukraine using machine learning methods. The study analyzes the characteristics of organizations that provide support for entrepreneurship and determines their role within the business support infrastructure. The application of machine learning algorithms enabled the classification and systematization of data on non-governmental business support organizations, the identification of patterns in their activities, and the assessment of their representation across various sectors of the economy. The obtained results may be used to improve cooperation mechanisms between the government, business, and civil society sectors, as well as to develop effective policies for entrepreneurship support in Ukraine.Item type:Монографія, Diagnostics of functioning trends of non-governmental business support organizations in Ukraine(Boston: Primedia eLaunch, 2025) Smolych, DariiaThe chapter examines current functioning trends of non-governmental business support organizations in Ukraine. The study provides a diagnostic assessment of the strengths and weaknesses of these organizations and identifies opportunities and threats affecting their future development. Particular attention is paid to the evaluation of information transparency, financial resources, human capital, and cooperation with public authorities, international partners, and business entities. Based on the findings, the author outlines key directions for improving the effectiveness of non-governmental business support organizations and strengthening their role in creating a favorable entrepreneurial environment in UkrainItem type:Кваліфікаційна робота бакалавра, Стратегії міжнародної співпраці українських підприємств під час війни (на матеріалах ТОВ «MINT INNOVATIONS»)(Луцьк : ЛНТУ, 2025) Коменда, Ірина ТарасівнаThe bachelor's qualification work consists of an introduction, two sections, conclusions and recommendations, a list of references. In 2022, Ukrainian companies have faced a significant challenge ̶ the Russian invasion. Numerous external risks have appeared, and their negative impact on operational continuity cannot be underestimated. The ability to deal with them is crucial for economic stability. Small and medium enterprises (SMEs) are particularly at a risky position due to their limited capabilities. Worth mentioning is the fact that SMEs account for a significant part of Ukrainian overall revenue. Therefore, their resilience and flexibility are crucial. This study is focused on key challenges’ identification, as well as on strategic solutions’ propositions. As a result, the research has practical significance, with findings applicable to Ukraine. The first chapter of this qualification work has a literature overview focused on the cooperation strategies and the country’s role in providing opportunities for enterprises to prosper. In the second chapter economic conditions within Ukraine are analyzed. In addition to that, various strategic frameworks are utilized to consolidate insights and suggest potential approaches to overcoming challenges. Data from the Ukrainian company LLC “MINT INNOVATIONS” was analyzed to assess their strategies’ effectiveness. The recommendations for further improvements will be given. This qualification work’s primary goal is to find out how enterprises can operate in such unpredictable circumstances and advise specific strategies to mitigate risks. The study’s object is the economic situation faced by Ukraine and its home-based companies. The subject of the research focuses on the theoretical and practical aspects of strategic alternatives for organizations under the influence of the Ukrainian-Russian war. The research methodology relies on both general scientific and specialized research methods. Given the exploratory nature of the study, an inductive approach is used to develop theoretical insights, integrating secondary data analysis along with primary data from LLC “MINT INNOVATIONS.”