An IT Company as a Non-Stationary Stochastic Organizational System: Assessment of Efficiency and Risks of Overload by the Method of Simulation Modeling
( Pp. 191-198)
More about authors
Astafev Rustam U.
graduate student
MIREA – Russian Technological University
Moscow, Russian Federation Shamin Roman V. Dr. Sci. (Phys.-Math.), Professor; MIREA – Russian Technological University; Moscow, Russian Federation
MIREA – Russian Technological University
Moscow, Russian Federation Shamin Roman V. Dr. Sci. (Phys.-Math.), Professor; MIREA – Russian Technological University; Moscow, Russian Federation
Abstract:
The purpose of the research is to develop and test a formalized simulation model of an IT company as a non-stationary stochastic organizational system for analyzing management scenarios. The article presents an information model that describes structural units through random loading processes, task completion rates, and the emotional state of the team. As part of the experimental part, a simulation simulation of the work of an organization consisting of four divisions was carried out during 24 reporting periods. It was found that piloting in a simulation environment made it possible to identify periods of critical overload and assess the impact of the emotional background on performance. Aggregated indicators of efficiency and risk of system overload are proposed and calculated. It is shown that the developed simulation scheme is suitable for quantifying the stability of an organizational structure and comparing various management scenarios under conditions of unsteady workload. Conclusions. The considered model can be used to study the sustainability of the organizational structure of IT companies and analyze various management scenarios. The proposed approach provides a basis for quantifying the impact of stochastic factors (including the human factor) on the performance of an IT company in conditions of unsteady workload.
How to Cite:
Astafev R.U. and Shamin R.V. An IT company as a non-stationary stochastic organizational system: Assessment of efficiency and risks of overload by the method of simulation modeling. Computational Nanotechnology. 13, 2 (2026), 191–198. DOI: 10.33693/2313-223X-2026-13-2-191-198. EDN: YFNXSJ
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Bulinskii A.V., Shiryaev A.N. Theory of random processes. Moscow: Fizmatlit, 2005. 400 c. ISBN: 978-5-9221-0335-0. EDN: RYRTLB.
Zubarev V.R. Development of instrumental systems for enterprise stability analysis. Economics: Yesterday, Today and Tomorrow. 2024. Vol. 14. No. 2-1. Pp. 455–463. DOI: 10.34670/AR.2024.36.42.028. EDN: ANLSZA.
Ivanov I.E., Murzin A.Yu. Determination of statistical properties of the random error accompanying synchronized vector measurements of currents and voltages in steady state. Bulletin of Ivanovo State Power Engineering University. 2014. No. 3. Pp. 29–38. EDN: SGIVGZ.
Kislitsyn E.V., Gorodnichev V.V. Simulation modeling of the development of certain heavy industry sectors. Business Informatics. 2021. Vol. 15. No. 1. Pp. 59–77. DOI: 10.17323/2587-814X.2021.1.59.77. EDN: RADPCO.
Kolmogorov A.N. Basic concepts of probability theory. Stereotyped ed. Moscow: Lenand, 2024. 120 p. ISBN: 978-5-9519-4114-5.
Nilova N.M., Zolkin A.L., Shamina S.V., Poskryakov I.A. Digital economy in Russia: Statistical analysis and forecasting. Krasnodar: Novatsiya, 2024. 175 с. ISBN: 978-5-00179-460-8. EDN EWLQRZ.
Filatov V.V., Mishakov V.Yu., Sokolov A.P. et al. Design of information systems for business process management of furniture and pulp and paper industries of the woodworking industry. Kursk: Universitetskaya kniga, 2021. 537 с. ISBN: 978-5-907512-50-4. EDN: YWZWVZ.
Frolov Yu.V., Yakovlev V.B., Seryshev R.V., Volovikov S.A. Business models, data analytics and digital transformation of an organization: Approaches and methods. Moscow: Moscow City Pedagogical University 2021. 176 с. ISBN: 978-5-243-00659-0. EDN: ZQNQPJ.
Fudina E.V., Nosov A.V., Pozubenkova E.I. Digitalization and transformation in the management of socio-economic systems. Moscow Economic Journal. 2022. Vol. 7. No. 12. DOI: 10.55186/2413046X_2022_7_12_705. EDN: OUVWYR.
Keywords:
information technology company, organizational system, non-stationary stochastic system, random processes, simulation modeling, project management.
