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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  • Ескіз
    Публікація
    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.
  • Ескіз
    Публікація
    Modeling the emotional intelligence impact on decision-making in problem situations
    (Global Scientific Trend, 2021) Sergienko, Olena; Baranova, V.; Yakimenko-Tereschenko, Natalia; Volosnikova, Nataliia
    The article is devoted to the research of the problem of subjective factors influence in making individual and group decisions. Subjective factor is considered in terms of the emotional intelligence impact on the decision-making process. In this case, the methods of analysis and influence of emotional intelligence on the decision-making process were applied. Through the implementation of the test for emotional intelligence, a hypothesis was proposed and proved. The hypothesis essence is that the higher the emotional intelligence level, the more objective a person makes decisions. For assessment the influence of emotional intelligence level on the outcome of the decision using neural network, the model of individual decision makers’ emotional intelligence classification was proposed and built. The obtained research results made possible to model the subjective factors influence in the decision-making process. The problem of group decision-making by modeling the behavior of decision makers under the influence of advertising, information from other agents and internal factors influencing the decision of decision makers is considered. For modeling the behavior of group decision makers in the market the agent simulation in the AnyLogic environment was used, which made possible to simulate the changes in the decision makers state depending on the impact of the environment and emotional intelligence. The received results showed that with the necessary information about the consumer and knowledge of the behavioral economics mechanisms, it is possible to predict and control his behavior, which is a great competitive advantage in certain segment market.