Issue |
E3S Web Conf.
Volume 164, 2020
Topical Problems of Green Architecture, Civil and Environmental Engineering 2019 (TPACEE 2019)
|
|
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Article Number | 09009 | |
Number of page(s) | 10 | |
Section | Environmental and Resource Economics | |
DOI | https://doi.org/10.1051/e3sconf/202016409009 | |
Published online | 05 May 2020 |
Risks of interaction of participants in the labeling (chiping) of goods in order to counter counterfeiting
1 Financial University under the Government of the Russian Federation, 49, Leningradsky Prospekt, 125993, Moscow, Russia
2 Vyatka State University, 36, Moskovskaya St., 610000, Kirov, Russia
* Corresponding author: kafinanc@yandex.ru
The importance of research is determined by the increasing need for identification and authentication of goods in order to ensure country economic resilience through counterfeit deterrence. In this article based on relationship practice of labelling (chipping) process participants, interest harmonization proposals for the participants are justified in order to prevent and deter counterfeit and falsified goods. The purpose of the work is to reduce the risks through improving interchain relationship between labelling (chipping) process participants in the fight against illegal trafficking in goods as a procurement mechanism of State economic resilience through considering the problems in relationship between chipping process participants and possible risks in the process of their communication, proposing measures to minimize risks in the interaction process of the participants and characterizing the measures proposed. The object of the research is technological methods of protection against counterfeit. The subject of the work is a relationship system of interest harmonization and communication improvement between producers using product chipping technology (RFID, Data Matrix), labelling operator, government and consumers during counterfeit and falsified good combat. Methodology: the study used general scientific methods of analysis and synthesis, a method of modeling and analogy, as well as a special statistical and economic method.
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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