Principles of Building a Model of Adaptive Intelligent Management in Information Systems
( Pp. 259-268)
More about authors
Zvyagin Leonid S.
Cand. Sci. (Econ.), Associate Professor; associate professor, Department of Modeling and System Analysis, Faculty of Information Technology and Big Data Analysis; Financial University under the Government of the Russian Federation; Moscow, Russian Federation
Abstract:
Today, the dynamism of the external environment and the exponential growth of data volumes require a transformation of traditional administrative methods. The purpose of the study is to develop a model for coordinating the resources of an information system that ensures the stability of functioning in conditions of uncertainty. The article uses methods of system analysis, the theory of multi-agent systems and predictive modeling to create an adaptive control loop. The results reflect the advantages of the author’s adaptive intelligent management (AI) model, which combines decentralized decision-making with centralized monitoring. The mathematical apparatus describes the dynamics of changes in the quality of the system through indicators of information capacity, reaction speed and stability. Comparative calculations confirm an increase in management efficiency by 109.5% and an increase in the level of intellectual support by 294.4%. Automation of routine operations minimizes human involvement in administrative cycles, freeing up cognitive resources for strategic planning. The findings confirm the effectiveness of the transition to predictive regulation to ensure the organization’s survivability in a turbulent environment. The proposed approach contributes to the formation of an organizational culture based on algorithmic transparency and objective data. The practical implementation of the model guarantees a quick return on investment by reducing transaction costs and minimizing the risks of erroneous decisions.
How to Cite:
Zvyagin L.S. Principles of building a model of adaptive intelligent management in information systems. Computational Nanotechnology. 13, 2 (2026), 259–268. DOI: 10.33693/2313-223X-2026-13-2-259-268. EDN: XUQBHS
Reference list:
Aksenov S.G. Management of organizational systems based on intelligent information technologies: methods and algorithms for solving managerial problems using artificial intelligence. Modern Science: Actual Problems of Theory and Practice. Series: Natural and Technical Sciences. 2025. No. 2-2. Pp. 42–47. (In Rus.). DOI: 10.37882/2223-2966.2025.02-2.01. EDN: HTSEUG.
Basov O.O. Regulation of the use of artificial intelligence technologies in organizational systems. Economy. Right. Innovation. 2022. No. 4. Pp. 78–82. (In Rus.). DOI: 10.17586/2713-1874-2022-4-78-82. EDN: JERBXU.
Bolgova M.A. Management in network organizational systems based on prognostic and optimization models of structural transformation. Dis. ... of Cand. Sci. (Eng.). Voronezh, 2021. 147 p. EDN: OUYLFR.
Diligenskaya A.N. et al. Decentralized information security management based on emergent intelligence in information systems. Caspian Journal: Management and High Technologies. 2023. No. 2 (62). Pp. 42–50. (In Rus.). DOI: 10.54398/20741707_2023_2_42. EDN: WJCRQA.
Dmitriev D.V. Management in organizational systems: a cultural aspect. Theory and Practice of the Service: Economics, Social Sphere, Technology. 2024. No. 4 (62). Pp. 18–22. (In Rus.). EDN: QAIAQG.
Kokovikhin A.Yu. Functionality of information systems in personnel competence management. Moscow Economic Journal. 2023. No. 12. Pp. 642–655. (In Rus.). DOI: 10.55186/2413046X_2023_8_12_639. EDN: YNSTGY.
Krotov Ya.E. Holacratic management models in organizational systems. Scientific Result. Information Technology. 2024. Vol. 9. No. 2. Pp. 49–59. (In Rus.). DOI: 10.18413/2518-1092-2024-9-2-0-6. EDN: KREPST.
Luzhkov N.D. Methods and technologies of intelligent and fault-tolerant management. International Journal of Information Technology and Energy Efficiency. 2025. Vol. 10. No. 5 (55). Pp. 109–116. (In Rus.). EDN: ICORCY.
Lukashenko D.V. Optimization of management in organizational systems based on intelligent technologies and features in the Federal Penitentiary Service of Russia. Natural and Technical Sciences. 2025. No. 5 (204). Pp. 134–136. (In Rus.). EDN: WOHYZU.
Lvovich K.I. Optimization of digital management in organizational systems based on modeling and algorithmization of the personnel adaptation process. Abstract of dis. ... of Cand. Sci. (Eng.). Voronezh, 2022. 16 p.
Lvovich Ya.E. et al. Optimization of digital management in organizational systems. Voronezh: Publishing and Printing Center, 2021. 191 p.
Lvovich Ya.E., Ryndin N.A., Sakharov Yu.S. Optimization of resource allocation for the development of the digital management environment in organizational systems. Bulletin of the Russian New University. Series: Complex Systems: Models, Analysis and Management. 2021. No. 4. Pp. 106–114. (In Rus.). DOI: 10.18137/RNU.V9187.21.04.P.106. EDN: FZEJTS.
Makarova E.A., Lagerev D.G. A model for processing poorly structured text data in Russian for intellectual support of information management in dynamic organizational systems. Models, Systems, Networks in Economics, Technology, Nature and Society. 2022. No. 3 (43). Pp. 104–125. (In Rus.). DOI: 10.21685/2227-8486-2022-3-7. EDN: CDJOLY.
Mironchuk V.A. et al. Computer management and organizational decision support systems. Natural Sciences and Humanities Research. 2023. No. 3 (47). Pp. 441–445. (In Rus.)
Pavlov A.A. Integration of artificial intelligence into the strategic management system of an organization: methodology and practice. Bulletin of Eurasian Science. 2025. Vol. 17. No. 3C. (In Rus.). EDN: PQDTSJ.
Ryndin N.A. Component optimization of the developing digital management environment in organizational systems. Modeling, Optimization and Information Technologies. 2022. Vol. 10. No. 2 (37). (In Rus.). DOI: 10.26102/2310-6018/2022.37.2.013. EDN: CLNOET.
Tebekin A.V. Management in an organizational system using the GAP analysis method. Journal of Technical Research. 2022. Vol. 8. No. 4. Pp. 10–22. (In Rus.). EDN: FIWNUO.
Tebekin A.V., Tebekin P.A. Management in organizational systems using the BCG matrix. Journal of Technical Research. 2023. Vol. 9. No. 1. Pp. 10–21. (In Rus.). EDN: JBKUUN.
Yurkovskaya E.P., Pivneva S.V. A systematic approach to digital faculty management technologies. Actual Issues of Science and Education. 2025. No. 3. Pp. 29–36. (In Rus.). EDN: RBZFTH.
Bankins S. et al. A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice. Journal of Organizational Behavior. 2024. Vol. 45. No. 2. Pp. 159–182. DOI: 10.1002/job.2735. EDN: CXRZDB.
Baumann O., Wu B. Managerial hierarchy in AI-driven organizations. Journal of Organization Design. 2023. Vol. 12. No. 1. Pp. 1–5. DOI: 10.1007/s41469-023-00147-9. EDN: VIKTPK.
Bhima B. et al. Enhancing organizational efficiency through the integration of artificial intelligence in management information systems. APTISI Transactions on Management. 2023. Vol. 7. No. 3. Pp. 282–289. DOI: 10.33050/atm.v7i3.2146. EDN: AUOFJN.
Holmström J., Hällgren M. AI management beyond the hype: Exploring the co-constitution of AI and organizational context. AI & Society. 2022. Vol. 37. No. 4. Pp. 1575–1585. DOI: 10.1007/s00146-021-01249-2. EDN: QLPWWY.
Jarrahi M.H. et al. Artificial intelligence and knowledge management: A partnership between human and AI. Business Horizons. 2023. Vol. 66. No. 1. Pp. 87–99. DOI: 10.1016/j.bushor.2022.03.002. EDN: NGLXWX.
Mäntymäki M. et al. Defining organizational AI governance. AI and Ethics. 2022. Vol. 2. No. 4. Pp. 603–609. DOI: 10.1007/s43681-022-00143-x. EDN: JUQELL.
Prorok M. The development of artificial intelligence in organizational management. Deliberationes. 2024. Vol. 17. No. 1. Pp. 95–105. DOI: 10.54230/delib.2024.1.95. EDN: YDEDPL.
Stoykova S., Shakev N. Artificial intelligence for management information systems: Opportunities, challenges, and future directions. Algorithms. 2023. Vol. 16. No. 8. P. 357. DOI: 10.3390/a16080357. EDN: ICHVGM.
Weber M. et al. Organizational capabilities for AI implementation – coping with inscrutability and data dependency in AI. Information Systems Frontiers. 2023. Vol. 25. No. 4. Pp. 1549–1569. DOI: 10.1007/s10796-022-10297-y. EDN: AYILHB.
Basov O.O. Regulation of the use of artificial intelligence technologies in organizational systems. Economy. Right. Innovation. 2022. No. 4. Pp. 78–82. (In Rus.). DOI: 10.17586/2713-1874-2022-4-78-82. EDN: JERBXU.
Bolgova M.A. Management in network organizational systems based on prognostic and optimization models of structural transformation. Dis. ... of Cand. Sci. (Eng.). Voronezh, 2021. 147 p. EDN: OUYLFR.
Diligenskaya A.N. et al. Decentralized information security management based on emergent intelligence in information systems. Caspian Journal: Management and High Technologies. 2023. No. 2 (62). Pp. 42–50. (In Rus.). DOI: 10.54398/20741707_2023_2_42. EDN: WJCRQA.
Dmitriev D.V. Management in organizational systems: a cultural aspect. Theory and Practice of the Service: Economics, Social Sphere, Technology. 2024. No. 4 (62). Pp. 18–22. (In Rus.). EDN: QAIAQG.
Kokovikhin A.Yu. Functionality of information systems in personnel competence management. Moscow Economic Journal. 2023. No. 12. Pp. 642–655. (In Rus.). DOI: 10.55186/2413046X_2023_8_12_639. EDN: YNSTGY.
Krotov Ya.E. Holacratic management models in organizational systems. Scientific Result. Information Technology. 2024. Vol. 9. No. 2. Pp. 49–59. (In Rus.). DOI: 10.18413/2518-1092-2024-9-2-0-6. EDN: KREPST.
Luzhkov N.D. Methods and technologies of intelligent and fault-tolerant management. International Journal of Information Technology and Energy Efficiency. 2025. Vol. 10. No. 5 (55). Pp. 109–116. (In Rus.). EDN: ICORCY.
Lukashenko D.V. Optimization of management in organizational systems based on intelligent technologies and features in the Federal Penitentiary Service of Russia. Natural and Technical Sciences. 2025. No. 5 (204). Pp. 134–136. (In Rus.). EDN: WOHYZU.
Lvovich K.I. Optimization of digital management in organizational systems based on modeling and algorithmization of the personnel adaptation process. Abstract of dis. ... of Cand. Sci. (Eng.). Voronezh, 2022. 16 p.
Lvovich Ya.E. et al. Optimization of digital management in organizational systems. Voronezh: Publishing and Printing Center, 2021. 191 p.
Lvovich Ya.E., Ryndin N.A., Sakharov Yu.S. Optimization of resource allocation for the development of the digital management environment in organizational systems. Bulletin of the Russian New University. Series: Complex Systems: Models, Analysis and Management. 2021. No. 4. Pp. 106–114. (In Rus.). DOI: 10.18137/RNU.V9187.21.04.P.106. EDN: FZEJTS.
Makarova E.A., Lagerev D.G. A model for processing poorly structured text data in Russian for intellectual support of information management in dynamic organizational systems. Models, Systems, Networks in Economics, Technology, Nature and Society. 2022. No. 3 (43). Pp. 104–125. (In Rus.). DOI: 10.21685/2227-8486-2022-3-7. EDN: CDJOLY.
Mironchuk V.A. et al. Computer management and organizational decision support systems. Natural Sciences and Humanities Research. 2023. No. 3 (47). Pp. 441–445. (In Rus.)
Pavlov A.A. Integration of artificial intelligence into the strategic management system of an organization: methodology and practice. Bulletin of Eurasian Science. 2025. Vol. 17. No. 3C. (In Rus.). EDN: PQDTSJ.
Ryndin N.A. Component optimization of the developing digital management environment in organizational systems. Modeling, Optimization and Information Technologies. 2022. Vol. 10. No. 2 (37). (In Rus.). DOI: 10.26102/2310-6018/2022.37.2.013. EDN: CLNOET.
Tebekin A.V. Management in an organizational system using the GAP analysis method. Journal of Technical Research. 2022. Vol. 8. No. 4. Pp. 10–22. (In Rus.). EDN: FIWNUO.
Tebekin A.V., Tebekin P.A. Management in organizational systems using the BCG matrix. Journal of Technical Research. 2023. Vol. 9. No. 1. Pp. 10–21. (In Rus.). EDN: JBKUUN.
Yurkovskaya E.P., Pivneva S.V. A systematic approach to digital faculty management technologies. Actual Issues of Science and Education. 2025. No. 3. Pp. 29–36. (In Rus.). EDN: RBZFTH.
Bankins S. et al. A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice. Journal of Organizational Behavior. 2024. Vol. 45. No. 2. Pp. 159–182. DOI: 10.1002/job.2735. EDN: CXRZDB.
Baumann O., Wu B. Managerial hierarchy in AI-driven organizations. Journal of Organization Design. 2023. Vol. 12. No. 1. Pp. 1–5. DOI: 10.1007/s41469-023-00147-9. EDN: VIKTPK.
Bhima B. et al. Enhancing organizational efficiency through the integration of artificial intelligence in management information systems. APTISI Transactions on Management. 2023. Vol. 7. No. 3. Pp. 282–289. DOI: 10.33050/atm.v7i3.2146. EDN: AUOFJN.
Holmström J., Hällgren M. AI management beyond the hype: Exploring the co-constitution of AI and organizational context. AI & Society. 2022. Vol. 37. No. 4. Pp. 1575–1585. DOI: 10.1007/s00146-021-01249-2. EDN: QLPWWY.
Jarrahi M.H. et al. Artificial intelligence and knowledge management: A partnership between human and AI. Business Horizons. 2023. Vol. 66. No. 1. Pp. 87–99. DOI: 10.1016/j.bushor.2022.03.002. EDN: NGLXWX.
Mäntymäki M. et al. Defining organizational AI governance. AI and Ethics. 2022. Vol. 2. No. 4. Pp. 603–609. DOI: 10.1007/s43681-022-00143-x. EDN: JUQELL.
Prorok M. The development of artificial intelligence in organizational management. Deliberationes. 2024. Vol. 17. No. 1. Pp. 95–105. DOI: 10.54230/delib.2024.1.95. EDN: YDEDPL.
Stoykova S., Shakev N. Artificial intelligence for management information systems: Opportunities, challenges, and future directions. Algorithms. 2023. Vol. 16. No. 8. P. 357. DOI: 10.3390/a16080357. EDN: ICHVGM.
Weber M. et al. Organizational capabilities for AI implementation – coping with inscrutability and data dependency in AI. Information Systems Frontiers. 2023. Vol. 25. No. 4. Pp. 1549–1569. DOI: 10.1007/s10796-022-10297-y. EDN: AYILHB.
Keywords:
adaptive intelligent control, multi-agent systems, information systems, predictive analytics, digital transformation, management effectiveness, decision making, operational sustainability.
