EconPapers    
Economics at your fingertips  
 

Management of Business Competitiveness Based on Artificial Intelligence and Big Data for Its Sustainable Development

Irina A. Morozova (), Anton S. Smetanin () and Anastasia I. Smetanina ()
Additional contact information
Irina A. Morozova: Volgograd State Technical University
Anton S. Smetanin: Volgograd State Technical University
Anastasia I. Smetanina: Institute of Scientific Communications

Journal of Modern Competition, 2024, vol. 18, issue 1, 29-40

Abstract: The article is devoted to determining the prospects for improving the management of business competitiveness through expanding the use of artificial intelligence and big data technologies for its sustainable development in Russia. The research methodology is based on the use of regression analysis, which is used to model the influence of factors of the use of digital technologies in business on the competitiveness of the economy. The time period of the study covers the boundaries of the Decade of Science and Technology: statistics for 2022 are used and a forecast is compiled for the period until 2031. As a result, based on the experience of the top 30 countries with the most active use of digital technologies in business in 2022, the authors compiled an econometric model competitiveness of the economy. Based on this model, the prospect of using artificial intelligence and big data in managing the competitiveness of Russian business for its sustainable development in the Decade of Science and Technology is revealed. The author’s main conclusion based on the results of the study is that the prospect of strengthening the competitiveness and sustainable development of business in Russia in the Decade of Science and Technology is associated with an increase in the use of artificial intelligence and big data technologies by business structures. The authors substantiate the feasibility of active technological modernization of business to strengthen technological competitive advantages, which are of great value in the modern market environment. The authors provide a scientific argument that artificial intelligence and big data technologies are more preferable (they make a much greater contribution to competitiveness) than Internet of Things technologies and cloud services. The practical significance of the results obtained by the authors is due to the fact that the recommendations compiled for increasing the activity of using artificial intelligence and big data in Russian business will make it possible to more fully reveal the growth potential of its competitiveness. The proposed control values of the relevant indicators will serve as guidelines for this in support of sustainable business development in Russia.

Keywords: competition; business competitiveness; artificial intelligence; big Data; russian business; competitiveness management (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.moderncompetition.ru/jour/article/view/21 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:snr:mdrcmp:v:18:y:2024:i:1:p:29-40

Ordering information: This journal article can be ordered from
https://moderncompetition.ru

DOI: 10.37791/2687-0657-2024-18-1-29-40

Access Statistics for this article

Journal of Modern Competition is currently edited by Yury Rubin

More articles in Journal of Modern Competition from Synergy University
Bibliographic data for series maintained by Synergy University Maintainer ().

 
Page updated 2025-10-01
Handle: RePEc:snr:mdrcmp:v:18:y:2024:i:1:p:29-40