DOI: 10.33917/mic-1.120.2025.56-73

This article examines the organizational and economic aspects of identification, identification of falsification and counterfeiting as tools to ensure the economic security of production and trade of 43 commodity groups of the EAEU Customs Union (fur goods) in modern conditions. An analysis of the current situation shows that ensuring the economic security of the fur trade is not balanced in the Russian Federation and the state may lose the furring skills of industry operators, as well as the technological culture of manufacturing and wearing natural furs.

The state needs to create further conditions for the development of the domestic fur industry, ensuring economic security, countering low-quality counterfeit imports of fur products, which unscrupulous sellers sell, posing as Russian goods, and introduce protectionist measures to protect and support Russian producers.

References:

1. Annekar V.V. The «Honest mark» labeling system in the paradigm of non-food consumption of natural fur products. The Constitution. 2023;8(2). URL: https://kostumologiya.ru/PDF/16TLKL223.pdf

2. Beketov S.V. Mandatory labeling of fur products. Rabbit breeding issues. 2020;5-6:57-62.

3. Bystrova N.Yu., Akopova E.I. Determination of safety indicators of fur products. In the collection: Innovative technologies: leather, fur, chemical materials, production. Moscow, 2023. pp. 15-17.

4. Guz N.A., Bozhenova A.A. Introduction of product traceability systems: foreign experience and domestic practice. risk: Resources, Information, Supply, Competition. 2022;2:6-12.

5. Zalomaeva E.O. The process of making economic decisions and consumer behavior from the point of view of neuroeconomics (on the example of the fur market). In the collection: Economics and Innovation. Moscow, 2022. pp. 81-85.

6. Kvyatkovsky D.V. The impact of the introduction of the EGAIS «Honest Mark» labeling system on the turnover of counterfeit goods in Russia. Legal science. 2023;11»236-239.    

7. Kibzun V.N., Nagornaya N.P. Segmentation of consumers of fur products in a trading enterprise and forecasting demand for them. Bulletin of the Donbass National Academy of Construction and Architecture. 2021;1(147):34-42.

8. Kirsanova E.A., Bodryakova L.N., Tyumentseva E.Yu. Development of approaches to improving the efficiency of production processes for manufacturing products from fur semi-finished products. Design and technology. 2021;82(124):24-30.

9. Kostyakova Yu.V. The sale of foreign-made fur products subject to labeling: customs aspects. Financial economics. 2020;2:142-147.

10. Kochetkova N.G. On the marking of fur products with control (identification) signs. Science Alley. 2018;3(6(22)):556-562.

11. Markina A.S. Problems of labeling fur products in Russia and ways to solve them. International Journal of Humanities and Natural Sciences. 2023;2-1(77):224-227.

12. Mukhina V.S. Control identification mark (KEYES) of fur products. In the collection: Actual problems of branch legal science. Vladimir, 2020. pp. 95-100.

DOI: 10.33917/es-6.198.2024.90-97

A special feature of the use of expert networks in public administration is the need to involve collective intelligence technologies based on a competence-based approach. The article proposes a scheme for organizing such use of expert communities with the help of national, sectoral and departmental competency frameworks. Introduction of expert networks in public administration can become a driver for their implementation in all spheres of the economy and public life of Russia, a tool for involving citizens in self-government.

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2. Friberg M. Expert network market size. Inex One, 2024, available at: https://inex.one/blog/expert-network-market-size

3. Slavin B. Sovremennye ekspertnye seti [Modern Expert Networks]. Otkrytye sistemy, 2014, no 7, pp. 30–33.

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10. Federal’nyy reestr ekspertov nauchno-tekhnicheskoy sfery [Federal Register of Experts in the Scientific and Technical Sphere]. FGBNU NII RINKTsE, available at: https://reestr.extech.ru/experty/index.php

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The article deals with the following questions: what is common for analytics and expertise, how they differ and how they are related to each other; what are the characteristics of the information society. Analysis of the purposes, sense and content of the analysis and expertise processes in the target vector of managing organizations, projects in the context of technical and social revolutions of the modern era of changes is carried out. The model, structuring the basic processes of analytics and expertise, is constructed, the criteria of their coherence and delineation are indicated. Constructive definitions of analytics and expertise are given. A taxonomic map of the basic processes of expertise and analytics in the organization is built. Proposed solutions provide the necessary basis for developing methodological and regulatory materials for practical application of analytics and expertise.