Prospects for the use of Simulation Modeling for Managing Student Entrepreneurship at the University

The relevance of the article is in the choice and application of research methods for the decision-making process in a university. The level of complexity of management objects is growing due to the increasing level of business turbulence. Universities are no exception, based on their ongoing transformation and the process of becoming a player in the market economy. The use of simulation modeling is a promising topic and deserves more attention. The purpose of the study is to present and demonstrate the possibilities of using a simulation tool to manage university processes. Research hypothesis: despite the fact that simulation modeling is becoming an increasingly popular method of forecasting in social systems, it is not used in the field of university management. The paper presents a model of student entrepreneurship at IRNRTU (Irkutsk), built with the help of AnyLogic. It demonstrates its work from the point of view of the behavior of the model under normal conditions and conditions of stimulating a separate competition (Program “Umnik” (Foundation for Assistance to Small Innovative Enterprises), Program “START” (Foundation for Assistance to Small Innovative Enterprises) and the “Startup” program (Foundation for Assistance to Small Innovative Enterprises with the Federal project “University Technological Entre-preneurship Platform”). As the software, the AnyLogic program (Russia) was selected and applied. The group of researchers selected a discrete-event model for ease of collection statistics and selection of the winner. As a result, it was concluded that the model is able to predict the most likely outcome of the underlying actions or interests in a shorter period of time compared to other forecasting tools. The theoretical significance of the work is in expanding the list of issues under study for the use of simulation modeling in higher education. The practical significance is in the application of the results to assess the effectiveness of student entrepreneurship and it might be of interest to both university administrations and higher education researchers.

1. Luhmann N. Social systems. Essay on general theory. St. Petersburg: Nauka, 1981, p. 208.

2. Krasnykh S. S. Simulation modeling of socio-economic processes in territorial systems. Journal of Economic Theory, 2020, no. 17. DOI: 10.31063/2073-6517/2020.17-2.22

3. Castells M. (2000) Information Age: Economy, Society and Culture: Trans. from English Under scientific ed. O.I. Shkaratana. M.: State University-Higher School of Economics. P. 383.

4. Forrester J. W. Industrial Dynamics – A Major Breakthrough for Decision Makers. Harvard Business Review. 1958. Vol. 36. No. 4, P. 37–66.

5. Longstaff F. A., Schwartz E. S. Valuing American options by simulation: A simple least-squares approach // REVIEW OF FINANCIAL STUDIES. 2001. Vol. 14. Iss. 1. P. 113–147. DOI: 10.1093/rfs/14.1.113

6. George-Marios Angeletos, David Laibson, Andrea Repetto, Jeremy Tobacman, Stephen Weinberg. The Hyperbolic Consumption Model: Calibration, Simulation, and Empirical Evaluation // The Journal of Economic Perspectives. 2001. Vol. 15. No. 3. P. 47–68. DOI: 10.1257/jep.15.3.47

7. Macal C. M., North V. J. Tutorial on agent-based modelling and simulation // Journal of Simulation. 2010. No. 4. P. 151–162. DOI: 10.1057/jos.2010.3

8. Boush G. D. (2016) Agent-based modeling of cluster formation processes in regional economic systems. Economics of the region. V.12, Issue. 1. – pp. 64-77. doi: 10.17059/2016-1-5

9. Parinov S. I. (2007) New possibilities for simulation modeling of socio-economic systems. Artificial communities. – No. 3-4.

10. Lychkina N. N. Simulation modeling of economic processes: – M.: INFRA-M, 2011. – 254 p. – (Higher education).

11. Nizamutdinov, M. M. (2021) Modeling of adaptive properties of behavior of participants in socio-economic processes. News of the Ufa Scientific Center of the Russian Academy of Sciences. – No. 3. – P. 55-60. – DOI 10.31040/2222-8349-2021-0-3-55-60.

12. Bobkov, S. P. (2022) Simulation modeling for intellectual support of management decision-making. Modern high-tech technologies. Regional application. – 2022. – No. 1(69). – P. 61-69. DOI 10.6060/snt.20226901.0008.

13. Klebanov, B. I. et al. (2022) Application of the AnyDynamics package for the development of simulation models of social systems. Modern science-intensive technologies. -No. 4. – P. 46-51. – DOI 10.17513/snt.39106.

14. Gorbunov A. R. (2007) Paradigms of simulation modeling: new in solving strategic management problems (unified logic of simulation modeling). Business Infor-

15. Grachev M. I. (2021) Simulation model of management of an educational organization of higher education. XXI century: results of the past and problems of the present plus. – T. 10, No. 1(53). – pp. 57-62. – DOI 10.46548/21vek-2021-1053-0010.

16. Gaynanov, D. A., Migranova, L. I., & Minyazev, A. I. (2020) Simulation model for managing student behaviour in the regional educational system. Kreativnaya ekonomika, 14(10), 2551-2568. doi: 10.18334/ce.14.10.110924 (in Russian)

17. Kelton W. D., Sadowski R. P., & Sadowski D. A. (2002). Simulation with ARENA. McGraw-Hill, Inc.. 631 p. ISBN-13 ‏ : ‎ 978-0071122399

18. Harrison J. R., Lin Z., Carroll G. R., & Carley K. M. (2007). Simulation Modeling in Organizational and Management Research. The Academy of Management Review, 32(4), 1229–1245. http://www.jstor.org/stable/20159364. https://doi.org/10.2307/20159364

19. Gunal, M. (2012) A guide for building hospital simulation models. Health Syst 1, 17–25. https://doi.org/10.1057/hs.2012.8

20. Mielczarek B, Uziałko-Mydlikowska J. Application of computer simulation modeling in the health care sector: a survey. SIMULATION. 2012;88(2):197–216. DOI:10.1177/0037549710387802

21. Ford A., Gardiner P. A New Measure of Sensitivity for Social System Simulation Models, in IEEE Transactions on Systems, Man, and Cybernetics, vol. 9, no. 3, pp. 105–114, March 1979, DOI: 10.1109/TSMC.1979.4310166

22. Epstein J. (2007). Generative social science. Studies in Agent-Based Computational Modeling. Princeton University Press.

23. López-Paredes A., Edmonds B., Klugl F. Special Issue: Agent Based Simu lation of Complex Social Systems. SIMULATION. 2012;88(1):4–6. DOI:10.1177/0037549711433392

24. Morecroft J. (1985) Rationality in the Analysis of Behavioral Simulation Models. Management Science 31(7):900–916. https://doi.org/10.1287/mnsc.31.7.900

25. Gu X & K. L. Blackmore (2015) A systematic review of agent-based modelling and simulation applications in the higher education domain, Higher Education Research & Development, 34:5, 883-898, DOI: 10.1080/07294360.2015.1011088

26. Caraquil J. et al. Simulation modeling of intention to leave among faculty in higher education institutions // Journal of Educational and Human Resource Development (JEHRD). 2016. Т. 4. С. 26–37. DOI: 10.61569/6wep9v48

27. Krasikova, T. Yu. at al. (2022) Motivation of student entrepreneurship and the role of university infrastructure. Innovative development of the economy. No. 5(71). – pp. 277-291. – DOI 10.51832/2223798420225277.