IDEAS home Printed from https://ideas.repec.org/a/cvt/journl/y2023id846.html
   My bibliography  Save this article

Process approach in the modernization of the quality management system and business process management at electric power enterprises in Russia

Author

Listed:
  • Aibek Akylbek uulu

Abstract

The modern economic paradigm, evolving in step with digital and innovative transformations, which has repeatedly scaled the role of business process automation, dictates an objective need for a conceptual rethinking of the constants of the functioning of Russian companies, and in general, the possibilities of constructing their new economic identity. Stabilization (resuscitation) of the functional core of the life support of domestic organizations during a period of external disturbances, extremely high economic turbulence, a change in the geopolitical landscape and a critical narrowing of the sanctions ring require a serious reorganization of existing business processes in organizations.Of particular importance in delineating new economic contours is ensuring sustainability for strategically important enterprises for our country. We are talking, first of all, about the electric power industry, which traditionally serves not only as the locomotive of Russia’s economic progress, but as the basis of the economic system, on the stable functioning of which national security depends. The electric power industry is in the most vulnerable position today, due to: 1) a complete embargo on Russian energy resources and 2) the global trend towards green energy.The subject of research in the article are the possibilities of the process approach in the modernization of the QMS and the management of business processes in electric power organizations. The methods of retrospective, graphical, comparative, statistical, prospective analyzes were used in the work. Research results are to identify the role, benefits, specifics of the application of the process approach in electric power organizations. The main problems in the modeling and functioning of the process approach are identified, as well as the possibilities for solving them with an emphasis on knowledge management processes and the use of artificial intelligence.

Suggested Citation

Handle: RePEc:cvt:journl:y:2023:id:846
DOI: 10.24182/2073-6258-2023-22-3-39-47
as

Download full text from publisher

File URL: https://www.scinotes.ru/jour/article/viewFile/846/798
Download Restriction: no

File URL: https://libkey.io/10.24182/2073-6258-2023-22-3-39-47?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Statistics

Access and download statistics

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:cvt:journl:y:2023:id:846. 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: Ð ÐµÐ´Ð°ÐºÑ†Ð¸Ñ (email available below). General contact details of provider: .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.