Improvement of business sustainability management during digital transformation.

The relevance of the study of the practice of sustainability management of modern business is explained by the increased risks for this sustainability in the context of digital transformation. Intellectual resources are critical for business sustainability, but the cause-and-effect relationships of managing these resources in the context of digital   transformation are unknown and therefore need to be clarified. The purpose of the article is to determine the prospects for improving business sustainability management in the context of digital transformation through the optimization of the structure of intellectual resources. Objectives: to establish the contribution of each type of intellectual resources to business sustainability in the context of digital transformation; to determine the potential for increasing business sustainability in the context of digital transformation based on maximizing the use of big data and artificial intelligence. Methodology involves conducting a factor analysis of business sustainability in the context of digital transformation using regression analysis, as well as forecasting the prospects for increasing this sustainability with the expanded use of big data and artificial intelligence in management. Results. The contribution of intellectual resources to business sustainability is modeled. The disadvantage of the Russian business sustainability management model associated with reliance on the intellectual resources of human nature is revealed. As an alternative model, automation of management using big data and artificial intelligence,   which make the greatest contribution to business sustainability, is proposed. Conclusions. In the context of digital transformation, intellectual resources of a technological nature big data and artificial intelligence are of decisive importance for business sustainability. The prospect of improving the sustainability management model of Russian business is associated with the expanded use of automation tools in management.

1. Emelianov S.G., Radzievskaya T.V. Modernization of the Russian Economy: Features of the Current Stage and Growth Points. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Ekonomika. Sotsiologiya. Menedzhment = Proceedings of the Southwest State University. Series: Economics, Sociology and Management. 2018;(1):133-141. (In Russ.) https://doi.org/10.21869/2223-1560-2018-22-1-133-141

2. Popkova E.G., Tyurina Y.G., De Bernardi P., Sergi B.S. A theory of digital technology advancement to address the grand challenges of sustainable development. Technology in Society. 2022;68:101831.

3. Morozova I.A., Smetanina A.I., Smetanin A.S. Program-targeted approach to managing sustainable development of agribusiness in the context of digital transformation. Ekonomika sel'skogo khozyaystva Rossii = Economics of Agriculture of Russia. 2024;(1):24-30. (In Russ.) https://doi.org/10.32651/241-24

4. Kopteva Zh.Yu., Tomakova I.A., Sadikov R.A. Modern information technologies for studying working time costs as an important tool for effective business process management. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Ekonomika. Sotsiologiya. Menedzhment = Proceedings of the Southwest State University. Series: Economics, Sociology and Management. 2024;14(4):202-217. (In Russ.) https://doi.org/10.21869/2223-1552-2024-14-4-202-217

5. Aleinikova O.S. Linguistic culture and business communication as a factor in the formation of professional competence of a manager. Paradigma = Paradigm. 2022;(2):50-54. (In Russ.)

6. Sarafanova I.E. The Concept of Selecting Gaming Technologies for the Formation of Organizational and Managerial Competence of a Manager. Yaroslavskiy pedagogicheskiy vestnik = Yaroslavl Pedagogical Bulletin. 2022;(3):43-51. (In Russ.)

7. Babeshko E.A. Formation of managerial competencies of a future manager in the context of contextual learning. Ekonomika i predprinimatel'stvo = Economy and Entrepreneurship. 2022;(4):937-939. (In Russ.)

8. Glukhova M.G. Innovative technologies for training managers. Nauchno-issledovatel'skiy tsentr «Vektor razvitiya» = Research Center «Vector of Development». 2022;(9):142-149. (In Russ.)

9. Krotenko T.Yu. Manager in the age of digital transformation. Innovatsionnaya ekonomika: perspektivy razvitiya i sovershenstvovaniya = Innovative Economy: Prospects for Development and Improvement. 2022;(3):4-9. (In Russ.)

10. Krotenko T.Yu., Ermilina D.A., Simonov S.Yu. Digital competencies of a modern manager: analysis of needs and directions of development. Russian Journal of Management. 2022;10(2):26-30. (In Russ.)

11. Parfenov A.A. The problem of development of the modern digital economy of Russia: shortage of managers with digital competencies. Kant. 2023;(1):67-76. (In Russ.)

12. Dzedik V.A. An important vector of management systems development ‒ the application of information technologies and artificial intelligence. Metody menedzhmenta kachestva = Quality Management Methods. 2022;(3):14-19. (In Russ.)

13. Nikulin L.F., Velikorossov V.V., Filin S.A., Lanchakov A.B. Artificial intelligence and management transformation. Ekonomicheskiy analiz: teoriya i praktika = Economic Analysis: Theory and Practice. 2023;22(3):556-573. (In Russ.)

14. Okladnikova S.V., Pankrashov A.S. Application of artificial intelligence technologies in hr-management. Vestnik Dagestanskogo gosudarstvennogo tekhnicheskogo universiteta. Tekhnicheskiye nauki = Bulletin of Dagestan State Technical University. Technical Sciences. 2023;50(2):117-125. (In Russ.)

15. Popova E.V. Russian experience of introducing artificial intelligence into enterprise management. Innovatsii i investitsii = Innovations and Investments. 2023;(6):79-82. (In Russ.)

16. Pyanova N.V., Stolyarova E.A., Pyanov R.R., Kryzhanovskaya O.A. The Role of Artificial Intelligence in Ensuring the Effective Functioning of Business Processes: Current Status and Prospects. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Ekonomika. Sotsiologiya. Menedzhment = Proceedings of the Southwest State University. Series: Economics, Sociology and Management. 2024;14(3):62-72. (In Russ.) https://doi.org/10.21869/2223-1552-2024-14-3-62-72

17. Tartysheva N.A., Balov B.M. Risk management of client policy of commercial banks of the Stavropol Territory in the context of the development of technology for working with big data. Nauchnyy vestnik Gosudarstvennogo avtonomnogo obrazovatel'nogo uchrezhdeniya vysshego obrazovaniya «Nevinnomysskiy gosudarstvennyy gumanitarno-tekhnicheskiy institute» = Scien tific Bulletin of the State Autonomous Educational Institution of Higher Education «Nevinnomyssk State Humanitarian and Technical Institute». 2022;(4):44-49. (In Russ.)

18. Bednenko F.A. Using artificial intelligence in the financial management of an organization to improve financial management. Ekonomika stroitel'stva = Construction Economics. 2023;(8):43-46. (In Russ.)

19. Gulati A., Birnat R. Artificial Intelligence: A Revolution in Quality Management? Metody menedzhmenta kachestva = Quality Management Methods. 2023;(8):46-50. (In Russ.)

20. Shamaev D.M., Zayats V.V., Orlov S.B. Quality management of artificial intelligence products and big data collection in healthcare. Menedzhment kachestva v meditsine = Quality Management in Medicine. 2022;(3):81-87. (In Russ.)