Game Simulation of Choosing the Optimal Strategy for Providing a Tourist Product, Taking Into Account the Preferences of Consumers in the Tourist Market

Purpose of the study. The purpose of this study is to identify models and model parameters for modeling the demand for tourism services. The growing uncertainty in the tourism market requires a review of the decision-making process. A significant role in improving the quality of decisions is traditionally assigned to economic cybernetics, in particular its section – game theory. Within the framework of this article, many tasks are identified, the solution of which will contribute to a wider application of game modeling in conditions of heterogeneity of demand for tourist products.

Materials and methods. The solution of these tasks implies the choice of control parameters (the price of tourist products, the quality of tourist services provided, the number of tourists accepted, the number of rooms of various classes, etc.), taking into account the preferences of consumers in the tourist market for choosing a hotel category and accommodation class, loyalty to the pricing policy of hotels, etc., creating a variety of strategies of the player (hotel manager), creating multiple states of nature and meaningful interpretation of each state of nature in terms of the considered situation of the tourism industry,

a quantitative assessment of the usefulness of implementing each player’s strategy taking into account all possible states of nature, an assessment of the probability (possibility) of each state of nature and justification for choosing the level of confidence in the available information and the selection of the necessary criteria for the study of the constructed game model.

Results. A game model of choosing the optimal strategy for providing a tourist product is constructed, the distinctive feature of which is taking into account the preferences of consumers in the tourist market. The construction and analysis of a model for choosing the optimal strategy for providing a tourist product makes it possible to compare in a new way the various strategies of decision makers who form tourist

products, taking into account the existing probabilistic distribution of demand and consumer preferences.

Conclusion. Game modeling of situations in the market of tourist services can be supplemented by the use of multicriteria optimization methods. In the process of analyzing situations in the tourism market, it is necessary to pay more attention to the formation of a set of criteria, as well as obtaining additional information about the hierarchy of criteria.

1. Astanin D.M. Aspects of system modeling of tourist flows in the territorial structures of ecological tourism. The Scientific Heritage. 2022; 2(84): 3-6.

2. Barkova A.S., Pronchev G.B. Modeling outbound tourism of Russians. Voprosy natsional’nykh i federativnykh otnosheniy = Issues of national and federative relations. 2022; 12; 4(85): 1330-1342. (In Russ.)

3. Bayuk O.A., Denezhkina I.Ye., Zadadayev S.A. Application of multi-criteria optimization for marketing decisions. Nauchnyye trudy Vol’nogo ekonomicheskogo obshchestva Rossii = Scientific works of the Free Economic Society of Russia. 2014; 188: 13-17. (In Russ.)

4. Vlasov D.A. Vvedeniye v teoriyu igr = Introduction to Game Theory. Moscow: Infra-M; 2022. 222 p. (In Russ.)

5. Vlasov D.A. Game modeling of strategies for providing a tourist product in various information conditions. Vestnik Rossiyskogo ekonomicheskogo universiteta imeni G .V. Plekhanova = Bulletin of the Russian Economic University named after G.V. Plekhanov. 2022; 19; 4(124): 32-42. (In Russ.)

6. Dement’yev A.Yu., Yermoshkina S.V. Problematic issues of strategic planning in the field of tourism and ways to solve them. Ekonomika i upravleniye: novyye vyzovy i perspektivy = Economics and management: new challenges and prospects. 2013; 4: 89-93. (In Russ.)

7. Zatonskiy A.V., Tugashova L.G., Barova A.Ye. Modeling and forecasting the development of domestic and foreign tourism in Turkey. Prikladnaya matematika i voprosy upravleniya = Applied Mathematics and Management Issues. 2019; 2: 135-150. (In Russ.)

8. Kiseleva I.A. Modeling of factors influencing demand in tourism. Strategicheskoye planirovaniye i razvitiye predpriyatiy: materialy Devyatnadtsatogo Vserossiyskogo simpoziuma = Strategic planning and development of enterprises: materials of the Nineteenth All-Russian Symposium / ed. G. Kleiner. Moscow: TSEMI RAN; 2018: 300-303. (In Russ.)

9. Kulapov M.N., Varfolomeyev V.P., Karasev P.A. Technological aspects of the theory of innovation process management: system analysis and approaches to modeling. Drukerovskiy vestnik = Drucker’s Bulletin. 2018; 3(23): 82-100. (In Russ.)

10. Mazalov V.V. Matematicheskaya teoriya igr i prilozheniya = Mathematical Theory of Games and Applications. Saint Petersburg: Lan; 2021. 500 p. (In Russ.)

11. Prikhod’ko A.P., Popov V.O., Teren’tev G.A. Introduction to the history of mathematical modeling of tourism. Aktual’nyye nauchnyye issledovaniya v sovremennom mire = Actual scientific research in the modern world. 2021; 6-8(74): 23-25. (In Russ.)

12. Fomin G.P., Chaykovskaya L.A., Maksimov D.A. Riski v ekonomike: zadachi i primery resheniya = Risks in economics: problems and examples of solutions. Moscow: KnoRus; 2021. 256 p. (In Russ.)

13. Tikhomirov N.P., Tikhomirova T.M. Teoriya riska = Risk Theory. Moscow: Unity-Dana; 2020. 308 p. (In Russ.)

14. Shilovskaya N.A. Teoriya igr: uchebnik i praktikum dlya vuzov = Game theory: textbook and workshop for universities. Moscow: Yurayt; 2021. 318 p. (In Russ.)