Determining the Optimal Pricing Strategy for Online Cinemas Using an Agent-Based Model on the Example of IVI and Kinopoisk
( Pp. 197-208)

The relevance of the study is justified by the phenomenon of the ever-increasing demand for online cinema services in the presence of free «pirate» resources, the heterogeneity of consumers of online cinemas that form the demand for their services, hence the low predictability of demand. The purpose of the study is to determine the optimal pricing policy in the conditions of competition of online cinemas. The constructed model predicts the demand for the services of the two leaders of the online cinema market with a reliability of more than 99%. Results: in a static game with full information, the price of a Kinopoisk subscription roughly corresponds to the best answer to the Ivi strategy to set the price at the current level; the Ivi subscription price corresponds to one of the Pareto optimal outcomes of the game, characterized by the symmetry of the strategy profile, the Nash equilibrium has not been achieved in reality.

Moiseenko A. M., Grineva N. V. Determining the Optimal Pricing Strategy for Online Cinemas Using an Agent-Based Model on the Example of IVI and Kinopoisk // ECONOMIC PROBLEMS AND LEGAL PRACTICE. 2023. Vol. 19. № 2. P. 197-208. (in Russ.)

ТМТ Rating «Russian Online Cinema market—results of 2021». URL: http://tmt-consulting.ru/napravleniya/media/video/tmt-rejting-rossijskij-rynok-vod-itogi-2021-goda/ (Accessed: 22.04.2023).
ТМТ-Rating «The Russian market of OTT video services—2015». URL: http://tmt-consulting.ru/bez-rubriki/tmt-rejting-rossijskij-rynok-ott-videoservisov-2015/ (Accessed: 22.04.2023).
Mulla T. Assessing the factors influencing the adoption of over-the-top streaming platforms: A literature review from 2007 to 2021 //Telematics and Informatics. —2022. —P. 101–797.
How has video content consumption changed in Russia in 10 years. URL: https://vc.ru/media/108884-kak-za-10-let-v-rossii-izmenilos-potreblenie-videokontenta (Accessed: 22.04.2023).
Comprehensive competitor and website traffic analytics platform. URL: https://www.similarweb.com/ru/ (Accessed: 01.11.2022).
Group-IB: 2018 may set an anti-record for the number of views of pirated films. URL: https://www.facct.ru/media-center/press-releases/antipiracy-statistics-record-2018/ (Accessed: 22.04.2023).
TMT-consulting, directions, videos. URL: http://tmt-consulting.ru/category/napravleniya/media/video/ (Accessed: 22.04.2023).
Korobov M. Morphological Analyzer and Generator for Russian and Ukrainian Languages // Analysis of Images, Social Networks and Texts, pp. 320–332 (2015).
Carroni E., Paolini D. Business models for streaming platforms: Content acquisition, advertising and users // Information Economics and Policy. —2020. —V. 52. —P. 100–877.
Bass F. M. A new product growth for model consumer durables // Management science. —1969. —V. 15. —№. 5. —P. 215–227.
Bhullar A., Chaudhary R. Key factors influencing users’ adoption towards OTT media platform: an empirical analysis // International Journal of Advanced Science and Technology. —2020. —V. 29. —№. 11s. —P. 942–956.
Nagaraj S., Singh S., Yasa V. R. Factors affecting consumers’ willingness to subscribe to over-the-top (OTT) video streaming services in India // Technology in Society. —2021. —V. 65. —P. 101–534.
Savelkoul R. Superstars vs the long tail: How does music piracy affect digital song sales for different segments of the industry? // Information Economics and Policy. —2020. —V. 50. —P. 100–847.

agent-based modeling, game theory, online cinemas, OTT video services, Nash equilibrium, Pareto-optimum, logistic regression, bag of words..