pos. Karavaevo, Kostroma, Russian Federation
VAK Russia 5.2.1
VAK Russia 5.2.4
VAK Russia 5.2.5
VAK Russia 5.2.6
VAK Russia 5.2.7
UDC 33
UDC 338.242.2
CSCSTI 06.81
Russian Classification of Professions by Education 38.03.01
Russian Library and Bibliographic Classification 6523
Russian Trade and Bibliographic Classification 7741
The purpose of this study is to develop cognitive models of industrial enterprise cost management, which act as a tool for visualization and analysis of identifiable parameters, conditions and relationships. The authors substantiate the use of cognitive models for decision-making in cost management. The paper examines the potential and features of using such models to predict the level of industrial enterprise costs under the influence of identifiable parameters. The cognitive modeling tool makes it possible to determine and measure the influence of identifiable parameters that can both stimulate and restrain the implementation of various strategies for managing industrial enterprise costs.
industrial organizations, cognitive maps, modeling, identifiable parameters, management, costs
1. Akhmetshina L.G. New meaning of entrepreneurship development: a model of advancement, technologies and personnel / L.G. Akhmetshina, T.A. Shcherbina, M.V. Dubrova et al. - M .: Publishing and trading corporation "Dashkov i Ko", 2024. - 554 p.
2. Gorlacheva E.N., Ivannikova E.M. Methodology of managing cognitive factors of production of high-tech enterprises // Economics of science. - 2019. - Vol. 5. No. 3. - P. 203-214.
3. Zagranovskaya A.V. Automatic search for concepts of a cognitive map in the field of strategic management // Bulletin of the Plekhanov Russian University of Economics. - 2022. No. 4. - P. 165-176.
4. Ivanova O.E. Cognitive models for creating information systems for managing costs in the industrial sector of the economy // Economy and entrepreneurship. - 2019. - No. 2 (39). - P. 136-141.
5. Ivanova O.E., Schmidt Yu.I., Zadvorneva E.P. Cost management model using the approach of fuzzy cognitive maps in the digital industry // Economy and entrepreneurship. - No. 12. - 2023. - P. 932-937.
6. Izmailova M.A., Abrashkin M.S., Ivanova O.E. [et al.]. Innovative development of industrial enterprises in modern conditions. - Moscow: World of Science, 2024. - 257 p.
7. Karaev R.A. Cognitive analysis and choice of strategic goals of the enterprise // Business Informatics. – 2019. – Vol. 13. No. 4. – P. 28-38.
8. Kvilinsky A., Kuzior A. Cognitive technologies in management and formation of priority development directions of industrial enterprises // Management systems in production design. – 2020. – No. 28 (2). – P. 133-138.
9. Lomakin N., Maramygin M., Kataev A., Krashchenko S., Yurova O., Lomakin I., Cognitive model of financial stability of the domestic economy based on artificial intelligence in conditions of uncertainty and risk // International Journal of Technology. – 2022. – Vol. 13(7). – P. 1588-1597.
10. Minakov A.V., Suglobov A.E. Transformation of communication mechanisms and interaction with clients in digital marketing // Russian Journal of Management. – 2023. – Vol. 11. – No. 1. – P. 211-228.
11. Mityakov E.S., Karpushina N.N., Mityakov S.N., Ladynin A.I. Cognitive modeling of economic development of industrial ecosystems // Industrial Economics. – 2025. – Vol. 18, No. 1. – P. 63-77.
12. Repushevskaya O.A., Suglobov A.E. Characteristics of factors and conditions influencing the balance of the organizational and economic mechanism for regional development // Russian Journal of Management. – 2025. – Vol. 13, No. 1. – P.102-113.
13. Fayman A.D. Resource projects in the economy of the Jewish Autonomous Region: assessment of effects based on cognitive modeling approaches // Bulletin of the Transbaikal State University. – 2021. – Vol. 27, No. 9. – P. 107-120.
14. Filipkovskaya L., Matvienko O. Support for management decision-making in economic systems based on cognitive modeling // International Engineering and Technology Journal. – 2018. – No. 7. – P. 588-592.
15. Hildebrand Dennis, Rösl Stefan, Auer Thomas, Schieder Christian. Next-Generation Business Process Management (BPM): A Systematic Literature Review of Cognitive // Conference: S-BPM ONE 2024. At: Weiden (Germany). https://www.researchgate.net/publication/380545067_Next-Generation_Business_Process_Management_BPM_A_Systematic_Literature_Review_of_Cognitive_Computing_and_Improvements_in_BPM
16. Hirenkumar Mistry, Ripalkumar Patel. Cognitive Computing For Decision Support Systems: Transforming Decision-Making Processes // Educational Administration: Theory and Practice. – 2024. – P. 64-67.
