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“NEWS OF THE KABARDINO-BALKARIAN

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The journal was founded in 1998, 6 issues per year
ISSN 1991-6639 (print), ISSN 2949-1940 (online)

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Digital landscape of BIG TECH barter models in the context of the evolution of logistics, marketing and services

I.V. Sonts, S.E. Barykin, S.M. Sergeev, E.A. Makarenko, S.G. Bozhuk

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Abstract. Modern conditions of economic and trade activities are associated with a number of fundamental obstacles. Sanction pressure complicates calculations, which requires development of alternative approaches, including use of extended transaction chains. Problems also arise in the field of logistics and contractual discipline, which lead to additional costs for businesses and a significant increase in the duration of trade transactions. Given high interest rates, such circumstances significantly reduce companies’ profits. Maintaining the sustainability of commercial activities, especially in cross-border trade, largely depends on the introduction of new tools for interaction between market participants, in particular barter transactions. Barter transactions are part of transformation of business processes focused on digital integration and allow companies to adapt to global challenges. The purpose of the study is to develop an algorithmic basis for making optimal decisions when forming a plan for barter transactions for a possible range of company’s product matrix. To achieve this goal, it is proposed to use methods for balancing the interests of the parties, matching algorithms and the “top trading cycle” (Top Trading Cycle), as well as the application of software optimization methods. Additionally, modern financial market trends aimed at integrating digital instruments developed by large technology companies into the payment landscape of BIG TECH digital instruments are taken into account. The work focuses on the problems of platform transformation, which helps service providers adapt to new economic realities, digital instruments that ensure increased competitiveness of companies, new algorithms and models for barter transactions, which can become part of the platform strategy.

Keywords: barter transactions, foreign trade, big data, mathematical modeling, marketplace, matching method, digital tools

For citation. Sonts I.V., Barykin S.E., Sergeev S.M., Makarenko E.A., Bozhuk S.G. Digital landscape of BIG TECH barter models in the context of the evolution of logistics, marketing and services. News of the Kabardino-Balkarian Scientific Center of RAS. 2025. Vol. 27. No. 1. Pp. 62–78. DOI: 10.35330/1991-6639-2025-27-1-62-78

References
  1. Anisimov Ya.A., Plotnikov V.A. Economic security, sanctions and reorientation of Russian foreign trade flows. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Ekonomika. Sotsiologiya. Menedzhment [Bulletin of the South-West State University. Series: Economy. Sociology. Management]. 2023. Vol. 13. No. 2. Pp. 10–23. DOI: 10.21869/2223-1552-2023-13-2-10-23. EDN: YWKZOQ. (In Russian)
  2. Kapustina I.V., Grigorieva K.A. Russia in the System of World Economic Relations. Sovremennaya nauka: aktual’nyye problemy teorii i praktiki. Seriya: Ekonomika i pravo [Modern Science: Actual Problems of Theory and Practice. Series: Economics and Law]. 2022. No. 4. Pp. 35–40. DOI: 10.37882/2223-2974.2022.04.13. EDN: EDSAGI. (In Russian)
  3. Plotnikov V.A., Tsekhomsky N.V. Problems of financial support of business transactions under economic sanctions. Izvestiya Sankt-Peterburgskogo gosudarstvennogo ekonomicheskogo universiteta [Bulletin of the St. Petersburg State University of Economics]. 2022. No. 6(138). Pp. 68–72. EDN: ZFOPBP. (In Russian)
  4. Kong X.T.R. et al. Cyber physical ecommerce logistics system: An implementation case in Hong Kong. Computers & Industrial Engineering. 2020. No. April 2019. (139). P. 106170.
  5. Kotlyarov I.D. Digital transformation of the financial sector: content and trends. Upravlenets [Manager]. 2020. Vol. 11. No. 3. Pp. 72–81. DOI: 10.29141/2218-5003-2020-11-3-6. EDN: QCAMVP. (In Russian)
  6. Kulikova O.M., Suvorova S.D. Marketplace: a business model of modern trade. Innovatsionnaya ekonomika:  perspektivy  razvitiya  i  sovershenstvovaniya  [Innovative  economy:  prospects for development and improvement]. 2020. No. 6(48). Pp. 50–55. DOI: 10.47581/2020/10.23.PS85/IE/5.48.008. EDN: ZLREFV. (In Russian)
  7. Lavskaya K.K., Barykin S.E., Makarenko E.A. Digital assistant in the context of the concepts of a digital platform and a digital ecosystem. Ekonomika i upravleniye: problemy, resheniya  [Economy  and  management:  problems,  solutions].  2023.  Vol. 7.  No. 10(139). Pp. 162–175. DOI: 10.36871/ek.up.p.r.2023.10.07.020. EDN: JAJWBB. (In Russian)
  8. Khatri M. Digital Marketing and Artificial Intelligence for Evaluating Powerful Customer Experience. International Journal of Innovative Research in Science Engineering and Technology. 2021. No. 6(6). Pp. 658–660.
  9. Sidorova E. Features of the Digital Economy Development in the EAEU Countries. Bulletin of Volgograd State University. 2021. No. 3(23). Pp. 123–137.
  10. Alexander B., Kent A. Change in technology-enabled omnichannel customer experiences in-store. Journal of Retailing and Consumer Services. 2022. No. January 2020. (65). P. 102338.
  11. Chang Y.P., Li J. Seamless experience in the context of omnichannel shopping: scale development  and  empirical  validation.  Journal  of  Retailing  and  Consumer  Services. 2022. No. November 2021. (64). P. 102800.
  12. Hajdas M., Radomska J., Silva S.C. The omni-channel approach: A utopia for companies? Journal of Retailing and Consumer Services. 2022. No. June (65). P. 102131.
  13. Jardim S., Mora C. Customer reviews sentiment-based analysis and clustering for market-oriented tourism services and products development or positioning. Procedia Computer Science. 2022. No. 2021 (196). Pp. 199–206.
  14. He L., Xue M., Gu B. Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications. Journal of Management Science and Engineering. 2020. No. 1(5). Pp. 1–22.
  15. Kapustina I. et al. Digitalization of logistics hubs as a competitive advantage of logistics networks. E3S Web of Conferences. 2020. (157). P. 05009.
  16. Teodorescu M., Korchagina E. How blockchain is revolutionizing supply chains: a literature review. Global Challenges of Digital Transformation of Markets. New York: Nova Science Publishers, Inc., 2022. Pp. 295–304. EDN: UUELSH
  17. Voronova O.V., Khnykina T.S., Khareva V.A., Didmanidze I. Blockchain in retail: development prospects and implementation issues. Global Challenges of Digital Transformation of Markets. New York: Nova Science Publishers, Inc., 2022. Pp. 277–284. EDN: UHHIWS
  18. Egereva Yu.B., Bakharev V.V.  Digital logistics platforms as an innovative format for providing logistics services: a critical analysis. Modeli, sistemy, seti v ekonomike, tekhnike, prirode i obshchestve [Models, systems, networks in economics, technology, nature and society]. 2023. No. 2(46). Pp. 5–24. DOI: 10.21685/2227-8486-2023-2-1. EDN: PIOVFW. (In Russian)
  19. Korchagina E.V., Eremin K.A., Vidineeva E.V. Digital Logistics Platforms: Analysis of Foreign  Experience.  Zhurnal  pravovykh  i  ekonomicheskikh  issledovaniy  [Journal  of  Legal and  Economic  Research].  2021.  No. 4.  Pp. 27–31.  DOI: 10.26163/GIEF.2021.42.11.004. EDN: TEKSQJ. (In Russian)
  20. Barykin S.E., Egereva Yu.B., Korchagina E.V. et al. The largest international digital logistics platforms: a comparative analysis. Omskiy nauchnyy vestnik. Seriya Obshchestvo. Istoriya. Sovremennost’ [Omsk Scientific Bulletin. Series Society. History. Modernity]. 2022. Vol. 7. No. 1. Pp. 97–103. DOI: 10.25206/2542-0488-2022-7-1-97-103. EDN: GTYOWI. (In Russian)
  21. Tjahjono B. et al. What does Industry 4.0 mean to Supply Chain? Procedia Manufacturing. 2017. (13). Pp. 1175–1182.
  22. Barykin S.E. et al. Sustainability Analysis of Energy Resources Transport Based on A Digital N-D Logistics Network. Engineered Science. 2024. (29). P. 1093.
  23. Otto P.E., Bolle F. Matching markets with price bargaining. Experimental Economics. 2011. No. 3(14). Pp. 322–348.
  24. Mewomo O.T., Ogbuisi F.U., Okeke C.C. On split equality minimization and fixed point problems. Novi Sad Journal of Mathematics. 2018. No. 2(48). Pp. 21–39.
  25. Ivanov D., Dolgui A. A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control. 2021. No. 9 (32). Pp. 775–788.
  26. Barykin S.Y. et al. Algorithmic Foundations of Economic and Mathematical Modeling of Network Logistics Processes. Journal of Open Innovation: Technology, Market, and Complexity. 2020. No. 4(6). P. 189.
Information about the authors

Ilya V. Sonts, Applicant, Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University;

195251, Russia, St. Petersburg, 50 Novorossiyskaya street;

systemconcept@yandex.ru, ORCID: https://orcid.org/0009-0007-7693-508X

Sergey E. Barykin,Doctor of Economic Sciences, Professor, Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University;

195251, Russia, St. Petersburg, 50 Novorossiyskaya street;

sbe@list.ru,  ORCID: https://orcid.org/0000-0002-9048-009X, SPIN-code: 9382-2074

Sergey M. Sergeev,Candidate of Engineering Sciences,Graduate School of Industrial Management, Peter the Great St. Petersburg Polytechnic University;

195251, Russia, St. Petersburg, 50 Novorossiyskaya street;

sergeev2@yandex.ru,  ORCID: https://orcid.org/0000-0003-0195-4589, SPIN-code: 4952-8095

Evgeniy A. Makarenko, Candidate of Economic Sciences,  Department of Business-Informatics and Management, St. Petersburg State University of Aerospace Instrumentation;

190000, Russia, St. Petersburg, 67 Bolshaya Morskaya street;

ss300@yandex.ru, ORCID: https://orcid.org/0000-0003-3461-3166, SPIN-code: 8363-8144

Svetlana G. Bozhuk, Doctor of Economic Sciences, Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University;

195251, Russia, St. Petersburg, 50 Novorossiyskaya street;

bojuk_svetlana@yandex.ru,  ORCID: https://orcid.org/0000-0002-8179-5882, SPIN-code: 3021-5480

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