Digital Economy & Innovations

Peer-reviewed scholarly journal published quarterly since 2010.

 

Publisher & Founder

Togliatti State University, Togliatti, Russia
WEB: https://www.tltsu.ru/en 

 

Editor-in-Chief

Mikhail M. Krishtal
Doctor of Physical and Mathematical Sciences, Professor
Scopus
 ResearcherID ORCID

 

About

Languages: Russian, English.

Periodicity: quarterly  (March 31, June 30, September 30, December 30).

There are no publication fees or fees payable to authors.

The Journal offers authors direct open access to its content.

The journal is included in the List of Peer-reviewed Journals of Higher Attestation Commission, and the research results of a DSc or CSc thesis are recommended to be published in the journal.

For the Russian Science Citation Index, full bibliographic description of all papers are indexed and listed in the Scientific Electronic Library eLIBRARY.RU.

Five-year 2022 Russian Science Citation Index Impact Factor is 0.373 (with no self citations).

Before March 2024 - Science Vector of Togliatti State University. Series: Economics and Management.

The Subjects of Publishing

Journal “Science Vector of Togliatti State University. Series: Economics and Management” accepts papers in the field “Economical Sciences”.

The journal publishes original papers in the following areas:

  • 5.2.3. Regional and Industrial Economics (Economics)
  • 5.2.4. Finance (Economics)
  • 5.2.5. World Economy (Economics)

Current Issue

No 2 (2025)

Full Issue

Model of regional human resource management as a tool for sustainable development of the socioeconomic system
Zhukova V.S.
Abstract

Integration of regional human resource management into the process of achieving goals of national economy is of particular importance in the context of the need for a comprehensive and systemic approach to the development of territories. Considering human resources not as a separate sphere, but as a key resource and factor determining the possibilities of implementing the strategic goals of the region, allows increasing the validity of management decisions, which become a logical result of an effective model of regional human resource management. The conducted analysis of existing mechanisms of regional human resource management allowed identifying the advantages and limitations of their use, taking into account the fact that a centralized top-down management model is currently used, which in contemporary institutional conditions is losing its effectiveness and speed of response to changes in local labor markets. The conceptual decentralized model of the mechanism of regional human resource management in the context of strategic planning of regional economic policy is clarified. An improved mechanism of regional human resource management is developed. The study showed that the decentralized bottom-up model of regional human resource management has significant potential for the development of the regional economy. However, its effectiveness increases significantly with the integration of a new institution that ensures coordination and strategic management of local initiatives, promotes synergy between actors, extension of best practices and more complete consideration of the needs of the regional economy in the strategic planning process.

Digital Economy & Innovations. 2025;(2):5-15
pages 5-15 views
Authorized economic operator: issues of categorization and financial support of activities
Komelova A.Y.
Abstract

The paper considers issues related to the development of the institution of authorized economic operator (AEO) in the Russian Federation. The study is aimed at studying the legal regulation and economic aspects, as well as the practice of AEO work, analysis and identification of the reasons for the weak development of the institute of authorized economic operator in the Russian Federation. Over the past 10 years, companies in Russia wishing to enter the authorized economic operator register number in dozens, while more than 120 thousand organizations – participants in foreign economic activity (FEA) operate in the country. At the same time, according to the Federal Customs Service of Russia, as of 2024, more than 12 thousand companies have a low-risk category, i.e. there are quite a lot of large businesses among them, and they are probably considering inclusion in the register of authorized economic operator. The paper touches upon practical issues that require research and discussion to support enterprises participating in foreign economic activity, to involve more enterprises in the authorized economic operator institution in order to obtain advantages in customs clearance, which is important when entering foreign markets and developing import-export activities in the context of trade restrictions and sanctions. The author proposes to adjust the amounts of security for payment of customs duties, based on the calculation of the company’s foreign trade turnover, in order to make the institution more accessible to enterprises. The purpose of the work is to study the problems of developing the authorized economic operator institution to attract companies interested in simplifying customs operations for the development of their business, including foreign economic activity, as well as stimulating exports by changing and improving legislation.

Digital Economy & Innovations. 2025;(2):17-28
pages 17-28 views
Application of artificial intelligence for commodity identification for customs purposes
Fedotova G.Y., Komelova A.Y.
Abstract

Application of artificial intelligence in various spheres of life is a critical task. International trade is not an exception for the introduction of innovations. The key issue of inter-country movement is the commodity identification for customs purposes. The paper presents the results of a comprehensive practical comparative study of the possibility of using artificial intelligence to classify commodities for customs purposes. As a model, the neural network of artificial intelligence developed by the World Customs Organization is used. The study included four stages, including the selection of goods to improve the reliability of the results obtained, a study of the applicability of the model for classifying commodities and the possibility of its use for customs purposes, as well as a criteria analysis of the features taken into account by the model when classifying commodities. The limited applicability of the model proposed by the World Customs Organization was revealed both for identification based on classification and for customs purposes based on direct analysis of the texts of the Harmonized Commodity Description and Coding System. The model does not see the degree of completeness in the descriptions of commodities, does not take into account the feature of independence of the goods in terms of use. An increase in the number of words in the description of the commodities also reduces the likelihood of its correct identification. The model takes into account most successfully the characteristics of goods related to the scope of application and functional purpose. The result of the complex study allowed considering comprehensively the possibilities of practical application of artificial intelligence and evaluating the actually obtained results for the studied group of goods. The obtained data on identifying the classification features of commodities taken into account in the model can be used for its further development.

Digital Economy & Innovations. 2025;(2):29-40
pages 29-40 views

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies