1. Wiener N. Cybernetics, or control and communication in an animal and a machine. Moscow: Nauka; 1983. 344 p. (In Russ.)
2. Glazyev SYu. Teoriya dolgosrochnogo texniko-e`konomicheskogo razvitiya [Theory of long-term technical and economic development]. Moscow: VlaDar; 1993. 310 p. (In Russ.) https://elibrary.ru/YSXIUV
3. Zhuravlev DM. Strategizing of digital transformation of complex socio-economic systems. Ed. VL Kvint. St. Petersburg: IPC SZIU RANEPA; 2024. 352 p. (In Russ.) https://doi.org/10.55959/978-5-89781-862-4
4. Kantorovich LV. Matematicheskie metody` organizacii i planirovaniya proizvodstva [Mathematical methods of organization and planning of production]. Leningrad: Leningrad State University; 1939. 68 p. (In Russ.) https://elibrary.ru/ZIGTUB
5. Kvint VL. The concept of strategizing. Vol. 1. St. Petersburg: NWIM RANEPA; 2019. 132 p. (In Russ.) https://elibrary.ru/VUMJTW
6. Akaev AA, Devezas TK, Korablev VV, Sarygulov AI. Critical technologies and prospects for Russia’s development under economic and technological restrictions. Terra Economicus. 2024;22(2):6–21. (In Russ.) https://doi.org/10.18522/2073-6606-2024-22-2-6-21
7. Makarov VL, Bakhtizin AR. Modern tools for modeling socio-economic processes. Economy of the North-West: Problems and prospects of development. 2024;(1):21–32. (In Russ.) https://doi.org/10.52897/2411-4588-2024-1-21-32
8. Makarov VL, Bakhtizin AR, Epstein DM. Agent-based modeling for a complex world. Moscow: Maks Press; 2022. 88 p. (In Russ.) https://elibrary.ru/BHWTOH
9. Nekipelov AD. On economic strategy and economic policy in Russia under current conditions. Scientific works of the Free Economic Society of Russia. 2021;230(4):76–89. (In Russ.) https://doi.org/10.38197/2072-2060-2021-230-4-76-89
10. Novikova IV. Strategic leader in the digital economy: Role, qualities and characteristics. Social and Labor Research. 2021;(4):150–160. (In Russ.) https://elibrary.ru/GWMTPO
11. Polterovich VM. Institucional`ny`e lovushki i e`konomicheskie reformy` [Institutional traps and economic reforms]. Economics and mathematical methods. 1999;35(2):3–20. (In Russ.) https://elibrary.ru/QOLEBJ
12. Sasaev NI, Kvint VL. Strategizing the industrial core of the national economy. Russian Journal of Industrial Economics. 2024;17(3):245–260. (In Russ.) https://doi.org/10.17073/2072-1633-2024-3-1349
13. Chaudhry M, Shafi I, Mahnoor M, Vargas DLR, Thompson EB, Ashraf I. A systematic literature review on identifying patterns using unsupervised clustering algorithms: A data mining perspective. Symmetry. 2023;15(9):1679. https://doi.org/10.3390/sym15091679
14. Akaev AA, Sadovnichiy VA. Information models for forecasting nonlinear economic dynamics in the digital era. Applied Mathematics. 2021;12:171–208. https://doi.org/10.4236/am.2021.123012
15. Ansoff HI. Corporate strategy: An analytic approach to business policy for growth and expansion. NY: McGraw-Hill; 1965. 241 p.
16. Arrow KJ. Social choice and individual values. Connecticut: Martino Fine Books; 2012. 110 p.
17. Biloslavo R, Edgar D, Aydin E, Bulut C. Artificial intelligence (AI) and strategic planning process within VUCA environments: A research agenda and guidelines. Management Decision. 2024;63(10):3599–3624. https://doi.org/10.1108/MD-10-2023-1944
18. Wong LW, Tan GWH, Ooi KB, Lin B, Dwivedi YK. Artificial intelligence-driven risk management for enhancing supply chain agility: A deep-learning-based dual-stage PLS-SEM-ANN analysis. International Journal of Production Research. 2022;62(15):5535–5555. https://doi.org/10.1080/00207543.2022.2063089
19. Barney J. Firm resources and sustained competitive advantage. Journal of Management. 1991;17(1):99–120. https://doi.org/10.1177/014920639101700108
20. Egger R, Yu J. A topic modeling comparison between LDA, NMF, Top2Vec, and BERTopic to demystify Twitter posts. Frontiers in Sociology. 2022;7:886498. https://doi.org/10.3389/fsoc.2022.886498
21. Kahneman D. Thinking, fast and slow. NY: Farrar, Straus and Giroux; 2011. 512 p.
22. Kahneman D, Tversky A. Prospect theory: An analysis of decision under risk. Econometrica. 1979;47(2):263–292. https://doi.org/10.2307/1914185
23. Klein G. Sources of power: How people make decisions. Leadership and Management in Engineering. 2001;1:21–21. https://doi.org/10.1061/(ASCE)1532-6748(2001)1:1(21)
24. Porter M. Competitive strategy: Techniques for analyzing industries and competitors. NY: Free Press; 1980. 396 p.
25. Raisch S, Krakowski S. Artificial intelligence and management: The automation – augmentation paradox. Academy of Management Review. 2021;46(1):192–210. https://doi.org/10.5465/amr.2018.0072
26. Russell SJ, Norvig P. Artificial intelligence: A modern approach. Harlow: Pearson; 2020. 1115 p.
27. Sawicki J, Ganzha M, Paprzycki M. The state of the art of natural language processing – A systematic automated review of NLP literature using NLP techniques. Data Intelligence. 2023;5(3):707–749. https://doi.org/10.1162/dint_a_00213
28. Simon A. Administrative behavior: A study of decision-making processes in administrative organization. NY: Simon and Schuster; 1997. 368 p.
29. Simon HA. A behavioral model of rational choice. The Quarterly Journal of Economics. 1955;69(1):99–118. https://doi.org/10.2307/1884852
30. Teece DJ, Pisano G, Shuen A. Dynamic capabilities and strategic management. Strategic Management Journal. 2008:27–51. https://doi.org/10.1142/9789812834478_0002
31. Pu Y, Li H, Hou W, Pan X. The analysis of strategic management decisions and corporate competitiveness based on artificial intelligence. Scientific Reports. 2025;15:17942. https://doi.org/10.1038/s41598-025-02842-x
32. Makridakis S, Spiliotis E, Assimakopoulos V, Chen Z, Gaba A, Tsetlin I, et al. The M5 uncertainty competition: Results, findings and conclusions. International Journal of Forecasting. 2022;38(4):1365–1385. https://doi.org/10.1016/j.ijforecast.2021.10.009
33. Turing AM. Computing machinery and intelligence. Mind. 1950;LIX(236):433–460. https://doi.org/10.1093/mind/LIX.236.433



