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Customs and Logistic Block-Chain and Client Behavior on Markets of Customs Intermediary Services

https://doi.org/10.21686/2413-2829-2026-1-272-288

Abstract

The article studies issues of using block-chain technology in customs-logistic field. Key notions of block-chain as applied to trade and administrative activities were presented. By using three block-chain-platforms that are wellknown on the global scale comparative analysis of block-chain models used in customs service and international logistics and of experience of their application was carried out. It was shown that platforms of customs-logistic block-chain act as a foundation for shaping a specific type of digital ecosystems, which can be defined as administrative-economic with serious difference from the classical business-ecosystems. Two classes of administrative-economic ecosystems were identified: autonomous and integrated, the difference between them is closely connected with characteristics of their external and internal digital environment. The author put forward definitions of administrative-economic ecosystems, its autonomous and integrated types and of the digital environment as applied to ecosystems of the given type. Regularities of ecosystem client behavior were demonstrated that function on the basis of block-chain and simplified classification of models of client behavior on markets of customs intermediary was advanced. It can serve as a basis for shaping efficient marketing strategies of customs representatives (brokers). Promising trends of further research were shown.

About the Author

N. V. Kameneva
Donetsk National University of Economics and Trade named after Mikhail Tugan-Baranovsky
Россия

Natalya V. Kameneva, PhD, Assistant Professor of the Department of Customs Affairs and Expert Examinations of Goods of the DONNUET.

31 Shchors Str., Donetsk, Donetsk People's Republic, 283050



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For citations:


Kameneva N.V. Customs and Logistic Block-Chain and Client Behavior on Markets of Customs Intermediary Services. Vestnik of the Plekhanov Russian University of Economics. 2026;(1):272-288. (In Russ.) https://doi.org/10.21686/2413-2829-2026-1-272-288

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ISSN 2413-2829 (Print)
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