Author
Listed:
- A. D. Stolyarov
- S. G. Vagin
- V. I. Abramov
Abstract
Acceleration of digital transformation of industrial enterprises and the transition to the data economy cause the increasing demand for effective tools of internal company planÂning. The authors of the article analyze the role of digital twins in managing complex producÂtion processes, forecasting changes and optimizing resource usage. The topic is relevant due to the growing competition, changes of the social and economic environment, where the inÂdustrial enterprises operate, and the emergence of the new type of competitive advantages for companies, which is based on the ability to work with data and build digital models of planning and rapid response to changes. The purpose of the article is to study the role of digital twins in maintaining the internal company planning at the industrial enterprises in an emerging data economy. Special attention is paid to their ability to provide continuous feedback making it possible to promptly adjust plans and minimize risks. The methodology is based on the system analysis of the scientific publications, cases and data devoted to this area of studies, as well as the general scientific methods: comparison, synthesis and logical generalization. The authors demonstrate the advantages of the “Digital twins†technology, such as reducing time costs, improving the quality of decision-making and developing a culture of working with data. It is pointed out that the implementation of the “Digital twins†technology helps to reduce costs, increase productivity and optimize resources, providing enterprises with competitive advanÂtages. Special attention is paid to the role of the data that is the main and the most important resource of the digital economy as measuring, collecting, processing, and using large amounts of economic data are the crucial elements for the successful implementation of digital twins. The authors show that digital twins are gaining the status of a core universal tool of internal company planning and management in a turbulent economic environment and emerging data economy, where flexibility, the speed of adaptation and the accuracy of decisions are becoming strategically important.
Suggested Citation
A. D. Stolyarov & S. G. Vagin & V. I. Abramov, 2026.
"Digital twins as effective tools of internal company planning of industrial enterprises in the data economy,"
Russian Journal of Industrial Economics, MISIS, vol. 19(1).
Handle:
RePEc:ach:journl:y:2026:id:1454
DOI: 10.17073/2072-1633-2026-1-1454
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ach:journl:y:2026:id:1454. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Главный контакт редакции (email available below). General contact details of provider: http://misis.ru .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.