Перегляд за Автор "HENNADII MAZUR"

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  • Ескіз недоступний
    Документ
    Customer Classification and Decision Making in the Digital Economy based on Scoring Models
    (Констанца: Technium Social Sciences Journal, 2023-04-06) HENNADII MAZUR; NATALIA BURKINA; YURII POPOVSKYI; NADIIA VASYLENKO; VOLODYMYR ZAIACHKOVSKYI; RUSLAN LAVROV; SERHII KOZLOVSKYI
    The article presents the way of applying cluster models to customer classification and managerial decision on retaining the available clients and acquiring new ones. The objective of the research is to find out the relevant techniques for building scoring models in different fields. The main research was testing the hypothesis: if the number of point models is approximated in different spheres of activity, then the proposed methods will be universal. To check this hypothesis the vector method of k-nearest neighbors support was applied for decision making in the digital economy based on scoring models. In order to realize the principle of customer classification and revealing the client categories with risk of quitting, the client’s classification model was created. Moreover, a risk issue was shown in the example of fraud dynamic. Different fraud categories were studied to define their features. On the basis of the model building results, the authors proposed some recommendations on decision making in risk situations. The model shows how to retain existing clients and how to share client base through the client groups and how to deal with risks of losing clients.
  • Ескіз недоступний
    Документ
    Investments in the Sustainable Development of the Potato Sector in Ukraine based on the Optimal Balance of Production and Consumption
    (Греція: Всесвітня науково-технічна академія та суспільство, 2021-12-10) RUSLAN LAVROV; LYUDMYLA REMNOVA; ІRYNA SADCHYKOVA; HENNADII MAZUR; MYKOLA TYMOSHENKO; VOLODYMYR KOZLOVSKYI; SERHII KOZLOVSKYI
    Growing role of potato farming in food security system of the country needs attracting the new investment in preserving and process restructuring of the sector, at scientifically proven approach to defining the optimal scope of potato production, processing, and storage – to avoid the extra stocks, unnecessary losses, and inefficient investment resources at any stage of agri-food chain. Purpose of the study is to justify the conceptual model of investing in development of Ukrainian potato sector, based on calculated optimal structure of balance between potato production and consumption, as well as the effective combination of fresh and processed products, to ensure competitive parameters of potato market in actual market nvironment. Object of the study is forming and increasing the added value in agri-food chain, due to optimal parameters of balance between potato production and consumption. The study methodology is based on system analysis laws, which allow justifying the competitive parameters of Ukrainian potato sector in varying economic space, thus reducing the unnecessary loss in “producing-processing-transporting-sale-consumption” chain. Use of developed optimization model for potato production/consumption balance, by minimizing the potato residues at the end of year, revealed the extra stock (2.4 million tons) in early 2020, which was unbalanced with consumer demand. Due to inefficient distribution of gross potato yield in Ukraine, conclusion was made on need to reduce investment in overproduction (17.5%) and direct the major investment flows in potato processing industry, increase the export potential, and expand the foreign market boundaries for Ukrainian potato products, semi-finished and fresh products, at ensuring the relevant quality. In this view, authors proposed a conceptual investment model for potato sector of Ukraine, based on optimal balance of potato production and consumption till 2027, which ensures achieving the strategic result in terms of global competition.