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Patterns of the Distribution of the Demand of End-Consumers among Retailers in the Zone of their Residence

Author

Listed:
  • Galkin Andrii

    (O.M. Beketov National University of Urban Economy in Kharkiv, Faculty of Transport System and Technologies, Kharkiv, UKRAINE)

  • Zaytsev Vitaliy

    (Kharkiv University of Technology “STEP”, Kharkiv, UKRAINE)

  • Shyshkin Viktor

    (Zaporizhzhia National University, Department of Entrepreneurship, Organization Management and Logistics, Zaporizhia, UKRAINE)

  • Obolentseva Larysa

    (O.M. Beketov National University of Urban Economy in Kharkiv, Department of Tourism and Hospitality, Kharkiv, UKRAINE)

  • Popova Yuliia

    (State University of Infrastructure and Technologies, Department of Business Logistics and Transportation Technologies, Kyiv, UKRAINE)

Abstract

The rapid development of retail and e-commerce is forcing marketing and logistics to be competitive and adapt to the demands of end-customers. At the same time, accurately determining the demand for goods allows to better understand customers and plan deliveries. The purpose of this article is to study the change in patterns of probability of choosing the option to purchase goods among end-consumers with and without the presence of e-commerce. The study consisted of research buyers, determining the probability of purchasing goods from “consumer basket” in the traditional way and over the Internet, which is considered for the example of one of the Kharkiv districts. The results develop e-commerce potential in Ukraine and are intended to determine the motives of consumers when choosing a shopping option.

Suggested Citation

  • Galkin Andrii & Zaytsev Vitaliy & Shyshkin Viktor & Obolentseva Larysa & Popova Yuliia, 2021. "Patterns of the Distribution of the Demand of End-Consumers among Retailers in the Zone of their Residence," Foundations of Management, Sciendo, vol. 13(1), pages 145-158, January.
    • Handle: RePEc:vrs:founma:v:13:y:2021:i:1:p:145-158:n:2
    DOI: 10.2478/fman-2021-0011
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    References listed on IDEAS

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    1. Paula Bajdor & Marta Starostka-Patyk, 2021. "Smart City: A Bibliometric Analysis of Conceptual Dimensions and Areas," Energies, MDPI, vol. 14(14), pages 1-28, July.
    2. Iryna BALANDINA & Larysa OBOLENTSEVA & Svitlana ALEKSANDROVA & Yana POLYAKOVA & Sergii DULFAN, 2018. "Assessing Corporate Culture of an Enterprise based on Competing Values Framework Design," Journal of Advanced Research in Law and Economics, ASERS Publishing, vol. 9(4), pages 1176-1185.
    3. Yulija CHORTOK & Alona YEVDOKYMOVA & Yuliya SERPENINOVA, 2018. "Formation of the Mechanism of Corporate Social and Environmental Responsibility of the Trading Company," Journal of Advanced Research in Management, ASERS Publishing, vol. 9(5), pages 1011-1018.
    4. Comi, Antonio, 2020. "A modelling framework to forecast urban goods flows," Research in Transportation Economics, Elsevier, vol. 80(C).
    5. repec:srs:journl:jemt:v:9:y:2018:i:5:p:1011-1018 is not listed on IDEAS
    6. Andrii Galkin & Popova Yuliia & Bodnaruk Oksana & Zaika Yuliia & Chuprina Elena & Denys Shapovalenko & Oleg Kolonataievskyi, 2019. "Attractiveness Modeling of Retail on Emotional Fatigue of Consumers," South East European Journal of Economics and Business, Sciendo, vol. 14(2), pages 106-116, December.
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    More about this item

    Keywords

    end-consumers; logistics; zone; service; nonlinearity factor; slope factor;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M39 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Other
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D19 - Microeconomics - - Household Behavior - - - Other
    • L69 - Industrial Organization - - Industry Studies: Manufacturing - - - Other

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