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
    Personnel material motivation and its effect on enterprise economic processes
    (University of national and world economy, 2018) Gaponenko, Olga; Sergienko, Olena; Tatar, Maryna
    The indicators system characterizing the personnel financial motivation and enterprises economic processes is improved. These indicators unlike existing fragmentary indicators take into account wages efficiency indicators such as profitability / yield payroll, the cost of wages and wages level (in total production costs) next with the stablished directions of productive resources usage for quantitative and qualitative evaluation of the state of these phenomena at the macro level. The developed methodical approach to the calculation of personnel material payouts involves the determination of additional pay on the bases of proposed labor contribution rate, which takes into account labor costs without the use of invariant scales and size of incentive and compensation payments by a corresponding coefficient whose value depends on value of certain assessment factors, which makes possible to create conditions for wages part objective formation.
  • 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
    Applied aspects of proactive modeling of innovative-investment processes of complex hierarchical systems: enterprise–region–state
    (Ljubljana School of Business, Slovenia, 2020) Sergienko, Olena; Tatar, Maryna; Bilotserkivskyi, Oleksandr; Baranova, Valeria
    The paper proposed a proactive mechanism of innovative activity management of complex hierarchical systems (CHS), consisting of successive stages of assessment, analysis, planning, forecasting and innivative activities regulation at the levels of an enterprise - a region – the state. Specific tasks of the proposed mechanism require model support, in connection with which the author has developed a set of models for the proactive innovation management SYSTEM. The valuation models and analysis of the innovation capacity and innovation outcomes of socio-economic system of a region (SESR), which allow, in contrast to the existing models, to compare the results of innovation activities and innovation potential and to make a conclusion about the effectiveness of the existing potentia use are built. The model of evaluation of innovative projects of business-industrial structures (BIS) efficiency based on the use of fuzzy set theory and methods of multicriteria problems solution, which allow to consider the risks arising at each stage of the innovation life cycle. The set of models of economic evaluation of SESR innovative activities based on panel data, which allows to estimate the resource use efficiency in the implementation of innovative activities and to predict the consequences of managerial decisions on stimulation of innovative activities is proposed. The simulation model scenarios of stimulation of SESR innovative activity, which allowed the simulation of scenarios to stimulate and assess their performance in order to select the best scenario of innovation regional systems according to the criteria of profit maximization, maximizing the number of innovative-active BIS and maximize the gains integrated assessment of SESR innovative activity results are designed. The simulation results allowed to determine the best scenario for promoting regional systems and the state as a whole.
  • Ескіз
    Публікація
    Financial Situations Forecasting Models for Forming the Enterprise’s Strategy Subject to Industrial Development Regulations
    (University of national and world economy, Sofia, Bulgaria, 2017) Sergienko, Olena; Gaponenko, O. E.; Golofaieva, I. P.
    The paper contains the complex of economic and mathematical forecasting models for financial situations of enterprises operating under conditions of uncertainty based on the concept of self-determination that provides the choice of perspective development alternatives under the threats. We have improved the financial situation diagnostics models of enterprises’ economic activity based on recognition, identification and situation prediction, research of the enterprise’s performance dynamics, which is the basis for qualitative strategic decisions.
  • Ескіз
    Публікація
    Diagnosis of Raider Capture to Ensure Business Entities Economic Security in the Conditions of Modern Challenges
    (University of national and world economy, Sofia, Bulgaria, 2020) Sergienko, Olena; Tatar, Maryna; Bilotserkivskyi, Oleksandr; Stepurina, Svitlana
    The analysis of economic entities interaction for counteraction to raiding is carried out, stages of raiding development in Ukraine and their characteristics are determine, resonant raider attacks in Ukraine during various global challenges and imbalances are analyzed. The aggregation of factors and parameters of threats to economic entities security in relation to raiding counteraction is carried out. The approaches and estimation methods of factors and parameters of raider capture threats are analyzed. The influence of threat parameters on the enterprises raider capture risk is assessed and the influence of parameters which characterize the raiding threats on the q-Tobin index, which characterizes the investment attractiveness, is determined.
  • Ескіз
    Публікація
    Price Environment for Gold and Silver in the Context of the Development of COVID-19
    (2020) Baranova, Valeria; Sergienko, Olena; Stepurina, Svitlana; Lyashenko, Vyacheslav
    The precious metals market is an integral part of the overall financial market. This part of the financial market plays an important role in the redistribution of financial flows. The precious metals market is currently under the influence of factors related to the spread of the COVID-19 pandemic. We investigated the dynamics of gold and silver prices in the context of the current pandemic development. For this analysis, we use the wavelet ideology. The results can be used in exchange trading in precious metals, investing in gold and silver.
  • Ескіз
    Публікація
    Multi-scale model elaboration for creditworthiness diagnostics of export production enterprises of the agricultural trade market
    (Scientific Route, Estonia, 2019) Sergienko, Olena; Shapran, Olena; Bilotserkivskyi, Oleksandr; Alieksieieva, Iryna
    The methodology for the agrarian enterprises’ creditworthiness diagnostic has been developed and implemented, and has allowed to solve the following objectives: conducting of observations and evaluating of financially-economic indicators, classification of enterprises by the level of creditworthiness, distinction and identification enterprises according to the level of creditworthiness and assessing the differences between classes by creditworthiness, with taking into account the sizes of enterprises. Based on the use of the complex of multidimensional analytical methods, the differences are defined under either one-dimensional evaluation system (by creditworthiness and size) or a two-level assessment of the joint cross impact of factors on creditworthiness. The proposed four-step technology for diagnosing of the agrarian enterprises creditworthiness substantially expands the components of the creditworthiness level evaluation of enterprises and, as a consequence, improves the timeliness of decision-making process about identifying and locating of weaknesses and “bottlenecks”. The coverage of a sufficient number of financial and economic indicators and the implementation of a wide range of methods and models enable to fully evaluate and analyze the existing state of creditworthiness with a view to improve and establish the effective functioning of the enterprise as a whole.
  • Ескіз
    Публікація
    Modeling of threats to enterprise financial security
    (Національний технічний університет "Харківський політехнічний інститут", 2019) Sergienko, Olena; Tatar, M. S.
  • Ескіз
    Публікація
    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.
  • Ескіз
    Публікація
    Wavelet Analysis Methodology as a Tool for Predicting Cryptocurrency Price Dynamics
    (2021) Lyashenko, Vyacheslav; Sergienko, Olena; Stepurina, Svitlana
    The stock market allows you to attract free investment resources, redistribute free financial resources between various spheres of the economy, business entities. For this, various tools and mechanisms for raising funds are used. Cryptocurrency is one of the tools of the modern stock market. The attractiveness of cryptocurrency, sharp and rapid changes in cryptocurrency prices necessitate various studies. At the same time, it is important to consider not only the dynamics of prices for cryptocurrencies, but also the mutual dynamics of prices between different types of cryptocurrencies. This is important in the aspect when choosing and building various forecasting models, assessing the mutual dynamics of cryptocurrency prices. To solve such a problem, it is necessary to carry out a complex and comprehensive analysis of the data. At the same time, it is important to obtain additional information that will be useful in the corresponding analysis. For this, it is proposed to use the wavelet ideology. We consider wavelet coherence as a data analysis tool. This choice is justified, and also the feasibility of its use on various datasets is confirmed. The paper deals with the mutual dynamics of prices for various types of cryptocurrencies. For this purpose, the corresponding estimates of the wavelet coherence are considered in the work. These estimates are based on real data. These estimates allow a number of conclusions to be drawn about cryptocurrency price prediction. In the work, information is presented in the form of various graphs and diagrams. This allows us to repeat and check the obtained estimates of the wavelet coherence, to evaluate the results that have been obtained.