Yakymchuk B. Modeling of the Decision Support System in Grocery Retail using Machine Learning methods

Українська версія

Thesis for the degree of Doctor of Philosophy (PhD)

State registration number

0824U001756

Thesis Registration Form

0824U001756.pdf

Applicant for

Specialization

  • 051 - Економіка

22-05-2024

Specialized Academic Board

5104

Taras Shevchenko National University of Kyiv

Essay

The thesis investigates the theoretical and practical principles of developing a complex of decision support systems based on machine learning methods to ensure the efficiency of the company’s operational, investment, and strategic activities in the grocery retail market, which is influenced by transformational processes and the development of e-commerce. The work’s practical value lies in the built complex of decision support systems based on machine learning methods, ensuring the growth of efficiency of operational processes, financial results, and optimization of the company’s strategic activities. The recommendations provided for the use of the complex of decision support systems can be implemented to reduce operating costs and improve the quality of service, maximize profit margin metrics, and increase the weighted level of the internal rate of return on the company’s investment cash flow in the grocery retail market. The Ukrainian grocery retail market has undergone significant changes due to the COVID-19 pandemic and full-scale invasion. The increased volatility of market dynamics has increased the complexity of operational and strategic planning, accompanied by intense competition and changing consumer behavior paradigms influenced by the development of e-commerce. The use of decision support systems based on machine learning and artificial intelligence methods allows to increase the efficiency of processes and maintain control within the framework of complex changes in market behavior patterns.

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Research papers

Chernyak, O., & Yakymchuk, B. (2021). Assessment of the Impact of COVID-19 on Grocery Retail in Ukraine. KnE Social Sciences, 5(9), 202–214. https://doi.org/10.18502/kss.v5i9.9894

Liashenko, O., & Yakymchuk B. (2023). Modeling an Investment Decision Support System in Grocery Retail. Efektyvna ekonomika, 8. https://doi.org/10.32702/2307-2105.2023.8.7

Liashenko, O., & Yakymchuk B. (2023). Strategic Decision Support System for Optimized Last-Mile Grocery Delivery Polygon Distribution. Efektyvna ekonomika, 11. http://doi.org/10.32702/2307-2105.2023.11.24

Liashenko, O., & Yakymchuk B. (2023). The Application of Time-Series Forecasting Models in Grocery Retail Industry. Theoretical and Applied Issues of Economics, 2(47), 118-129. https://doi.org/10.17721/tppe.2023.47.11

Ignatyuk, A., Honcharuk, I., & Yakymchuk, B. (2020). Price Optimization Model for Platform’s Goods and Services in Multi-Sided Markets. Baltic Journal of Economic Studies, 6(5), 89-95. https://doi.org/10.30525/2256-0742/2020-6-5-89-95

Yakymchuk, B., & Liashenko, O. (2022). Forecasting of New Grocery Store Opening Success Using Machine Learning Algorithms. 12th International Conference on Advanced Computer Information Technologies (ACIT), Ruzomberok, Slovakia, 203- 206. https://doi.org/10.1109/ACIT54803.2022.9913157

Wright, G., Slukhai, S., & Yakymchuk, B. (2022). Amalgamation and Local Finance: A Case Study of Ukraine. Central European Public Administration Review, 20(2), 147-168. https://doi.org/10.17573/cepar.2022.2.07

Liashenko, O. & Yakymchuk, B. (2022). Modeling the Optimal Grocery Store Trading Area Using Machine Learning Methods. IX International Scientific Conference “Information Technology and Implementation” (IT&I-2022), Kyiv, Ukraine, 325-333.

Yakymchuk, B., Liashenko, O. (2023). Modeling the Resource Planning System for Grocery Retail Using Machine Learning. In: Antoniou, G., et al. Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2023. Communications in Computer and Information Science, 1980. Springer, Cham. https://doi.org/10.1007/978-3-031-48325-7_22

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Files

autoreferat-Анотація_Якимчук.pdf

Дисертація_Якимчук.pdf

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