Кафедра "Підприємництво, торгівля і логістика"

Постійне посилання колекціїhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/32369

Офіційний сайт кафедри http://web.kpi.kharkov.ua/business

Від 2021 року кафедра перейменована та має назву "Підприємництво, торгівля i логістика" (Наказ 552 ОД від 26.11.2021 року), попередня назва – "Підприємництво, торгівля та експертиза товарів", первісна – кафедра комерційної, торговельної та підприємницької діяльності.

Кафедра комерційної, торговельної та підприємницької діяльності заснована в 2017 році.

Кафедра входить до складу Навчально-наукового інституту економіки, менеджменту і міжнародного бізнесу Національного технічного університету "Харківський політехнічний інститут". Викладачі кафедри є членами Харківського осередку Українського товариства товарознавців і технологів (УТТТ), що входить до Міжнародній асоціації товарознавства, інновацій та сталого розвитку (International Association of Commodity Science, Innovation and Sustainability) IACSIS.

У складі науково-педагогічного колективу кафедри працюють: 3 доктора наук: 2 – економічних, 1 – технічних; 7 кандидатів наук: 4 –економічних, 3 – технічних; 3 співробітника мають звання професора, 6 – доцента.

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Simulation and optimisation of business process management: case study of IT company
(2024) Serhiienko, Olena; Mashchenko, Maryna; Samorodov, Borys; Babichev, Anatoliy; Klimenko, Olena
In managing business processes of complex hierarchical systems, primary attention is given to analysing, accelerating, and optimising the basic processes typical for any company. Objectives: The goal of this work is to prove that while managing business processes, it is crucial to consider the peculiarities of the external and internal environment to determine the effects of individual triggers. Method: An example of business process analysis was provided regarding the peculiarities of managing IT service companies operating in a dynamic environment of rapid technological changes. The business processes analysis of IT service companies in Ukraine was conducted. Business process groups characterised by low use of labour and financial resources and excessive and high levels of risk management were determined. Results: An algorithm for optimising the IT company's business processes was developed. Simulation and optimisation models for managing IT company business processes were developed using scenario modelling and simulation techniques. Conclusion: Based on these models, a predictive evaluation of management impacts on business processes was conducted, representing individual clusters according to defined management strategies.
Modeling Internationally Diversified Investment Portfolio
(Institute of Electrical and Electronics Engineers, Inc., USA, 2020) Chernova, Natalia; Mashchenko, Maryna; Sergienko, Olena; Bilotserkivskyi, Oleksandr; Shapran, Olena
A diversified portfolio can deliver improved performance and lessened risk relative to not diversified one. The diversification may be achieved in different ways: an investor may allocate money in different asset classes; or in stocks of different industries; or in bonds with different maturities; or in stocks with large, middle and small market capitalization; or in different commodities and so on. Another way is international (global) diversification. The paper aim is to form an optimal investment portfolio containing assets of different countries. To achieve this the following tasks should be solved: carry out a preliminary financial analysis of assets (stock indices) of different countries and determine the set of assets that are eligible for investment; form an optimal portfolio of selected stock indices; carry out a comparative analysis of the efficiency of the obtained portfolio and the benchmark portfolio, which is domestically oriented. The proposed algorithm for modeling internationally diversified optimal portfolio includes the following core steps: forming the information base of the research; classification of assets into homogeneous groups and detecting the group that is suitable for the investment; modeling diversified portfolio and a benchmark portfolio; comparison of obtained portfolios performance.
Assessment of volatility and the level of hedging effectiveness on oil markets
(Wydawnictwo Wyższej Szkoły Technicznej w Katowicach, Poland, 2023) Haponenko, Olha; Mashchenko, Maryna; Serhiienko, Olena
Assessing the Economic and Technical Effectiveness of Intercepting UAVs Using Alternative Methods
(2023) Pohasii, Serhii; Mashchenko, Maryna; Serhiienko, Olena; Klimenko, Olena; Andriushchenko, Tetiana; Milevska, Tetiana
The study explores the various methods and technologies employed in intercepting unmanned aerial vehicles (UAVs). It highlights the use of UAV interceptors, specifically those utilizing the kamikaze scenario, which have demonstrated effectiveness in conflicts such as the war in Ukraine. The research investigates the technical and economic aspects of combating UAVs, particularly reconnaissance and kamikaze UAVs equipped with various types of ammunition. Cost analysis and technical characteristics of commonly used kamikaze UAVs are examined. This study provides valuable insights into the challenges and potential solutions in countering UAV threats.
Cognitive technologies for modeling migration processes in education
(Kaunas University of Technology, Lithuania, 2022) Sergienko, Olena; Mashchenko, Maryna; Gavkalova, N.; Chernova, L. S.; Lola, Yu.
The cognitive model of regulating educational migration is constructed on the basis of an oriented graph-structured scheme of causal relations between system elements. This model, in contrast to others, combines factors, taking into account their interaction, leaving, and the educational conditions of foreigners, which in balance lead to educational migration. This model also determines the effects for the country, region, university, and individual migrants. The cognitive model is the basis for developing a set of scenarios. Scenario modeling allows for the identification of possible variants for the development of a situation, ways and mechanisms of influencing the situation in order to achieve the desired results and avoid undesirable consequences, and the development of a set of measures to influence the situation. Each scenario is characterized by the initial data, the influence of management, and the obtained result. Thus, all possible variants of system development are considered and the optimal management strategy is chosen to achieve the desired goals. Three core scenarios of development (optimistic, realistic, and pessimistic) were obtained on the basis of the cognitive model of educational migration regulation. Given these scenarios, methodological recommendations can be formulated on the regulation of educational migration in order to attract educational migrants to Ukraine from foreign countries. This will promote the interests of the social, economic, political, and demographic development of the country. The implementation of the proposed measures to regulate educational migration will facilitate the integration of domestic education and science into the global system, improve the quality of education and its competitiveness in international markets for educational services, increase income, and offset the negative effects of Ukraine’s demographic decline.
Evaluation of the effectiveness of crediting management system of agrarian enterprises
(Global Scientific Trend, 2021) Mashchenko, Maryna; Sergienko, Olena; Dykan, V.; Dykan, O.
The state of governmental support for crediting of agricultural enterprises is analyzed. A comprehensive analysis of the state of agricultural enterprises crediting is carried out in all possible areas that allows to solve the main problems of agricultural enterprises crediting in Ukraine and shortcomings in the management of financial and credit relations at different levels and to identify the main factors of influencing the development and priority directions of crediting development. The complex of tasks for assessing the effectiveness of crediting management system of agrarian enterprises is determined. The three-level management system for the agroindustrial complex is proposed: agrarian enterprises - the object of management, regional bodies - the subject of the first level management, the state - a higher level management subject.