REINVENTING STRATEGIC MANAGEMENT THROUGH ARTIFICIAL INTELLIGENCE
- Authors
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Xidirova Barchinoy Ilkhomovna
PhD, Senior Lecturer Department of Digital Economy Tashkent State University of Economics
Author
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- Keywords:
- Artificial intelligence, strategic management, business systems, digital economy, big data, forecasting, decision-making, cognitive management, competitiveness, risk management
- Abstract
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This article analyzes the importance of artificial intelligence (AI) technologies in the strategic management of business systems from both theoretical and practical perspectives. It identifies the limitations of traditional management approaches in the context of the digital economy and substantiates their replacement with data-driven, predictive, and adaptive management models. The role of artificial intelligence in enhancing decision-making processes, reducing risks, optimizing resources, and creating economic value is revealed. In addition, the experience of implementing AI in the telecommunications sector, as well as existing challenges and future prospects, are examined.
- References
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1.McKinsey Global Institute. (2024). The Economic Potential of AI in Telecommunications. Retrieved from: https://www.mckinsey.com
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3.Porter, M. E., & Heppelmann, J. E. (2015). How smart, connected products are transforming companies. Harvard Business Review. Retrieved from: https://hbr.org/2015/10/how-smart-connected-products-are-transforming-companies
4.Huang, M.-H., & Rust, R. T. (2021). Artificial intelligence in service. Journal of Service Research, 24(1), 3–27.
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6.OECD. (2020). Artificial Intelligence in Society. Paris: OECD Publishing.
7.Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age. New York: W.W. Norton & Company.
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- Published
- 2026-04-08
- Issue
- Vol. 2 No. 4 (2026)
- Section
- Articles
- License
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This work is licensed under a Creative Commons Attribution 4.0 International License.
