DECISION-MAKING IN PRICE POLICY MANAGEMENT IN THE SPEECH ANALYTICS MARKET

  • T.Y. Salutina Moscow Technical University of Communications and Informatics, Moscow, Russia
  • M.F. Gumerov Moscow Technical University of Communications and Informatics, Moscow, Russia
  • A.R. Kaberova Moscow Technical University of Communications and Informatics, Moscow, Russia
  • G.P. Platunina Moscow Technical University of Communications and Informatics, Moscow, Russia
DOI: https://doi.org/10.34680/BENEFICIUM.2023.2(47).20-27

Abstract

The article is devoted to adapting general mathematical models of the software markets for describing the market of a specific product. These are the technologies of artificial intellect in speech analytics. The purpose of this study is to create a modeling instrumentation for pricing the technologies of speech analytics in companies which enter this market. The purpose also includes recommendations provided with the price policy. The object of the study is the Russian market of speech analytics technologies. The subject of the study are the prices of this product in companies which enter the market being explored. In this studying the authors use classical methods of economical and mathematical modeling the markets with different competitive levels (monopoly, duopoly, oligopoly, monopolistic competition). The results of the study are the foundations of prices for the companies which enter the speech analytics market. These prices are based on three kinds of economical mathematical models: regression, rating and marginal indicators. All three kinds of models lead to one recommendation. A company entering the speech analytics market, when setting a price, should focus less on the quality of speech recognition (this factor has little effect on the price in all three models), and more on the availability of additional options: the more of them, the higher the company’s ability to set the price at a level closer to the market leaders.

Keywords: artificial intelligence, software market, speech analytics technologies, level of monopolization, pricing

References

  • Kuzovkova T.A., Saliutina T.Yu., Sharavova O.I. The Impact of Digital Platforms on the Business Management Information System / Systems of Signal Synchronization, Generating and Processing in Telecommunications, SYNCHROINFO 2021 - Conference Proceedings, Kaliningrad, June 30 – July 02, 2021. Kaliningrad: IEEE. 2021. Pp. 47-51. DOI: 10.1109/SYNCHROINFO51390.2021.9488330
  • Kuzovkova T.A., Sharavova O.I., Tikhvinskiy V.O., Devyatkin E.E. Matching of 6G Network Capabilities to Digital Services Requirements / Systems of Signal Synchronization, Generating and Processing in Telecommunications, SYNCHROINFO 2022 – Conference Proceedings, Arkhangelsk, June 29 – July 01, 2022. Arkhangelsk: IEEE. 2022. Pp. 896-899. DOI: 10.1109/SYNCHROINFO55067.2022.9840939
  • Analiz rynka rechevyh tekhnologij i raspoznavaniya rechi v Rossii [Market analysis of speech technology and speech recognition in Russia] (2021). vc.ru (In Russ.). URL: https://vc.ru/trade/640019-analiz-rynka-rechevyh-tehnologiy-i-raspoznavaniya-rechi-v-rossii (accessed on 18.03.2023).
  • Ustyuzhanina E.V., Sigarev A.V., Komarova I.P., Novikova E.S. The impact of the digital revolution on the paradigm shift in the economic development // Espacios. 2017. Vol. 38(62). Pp. 1-12.
  • Ustyuzhanina E.V., Evsukov S., Komarova I. Network economy as a new economic system // European Research Studies Journal. 2018. Vol. XXI(3). Pp. 77-89.
  • Dementiev V.E., Evsukov S.G., Ustyuzhanina E.V. Reciprocity in emerging markets for network goods // Terra Economicus. 2019. Vol. 17(4). Pp. 23-40. (In Russ.). DOI: 10.23683/2073-6606-2019-17-4-23-40
  • Dementiev V.E., Evsukov S.G., Ustyuzhanina E.V. The importance of a strategic approach to pricing in markets for network goods // Journal of the New Economic Association. 2020. Vol. 2(46). Pp. 57-71. (In Russ.). DOI: 31737/2221-2264-2020-46-2-3
  • Dementiev V.E. The value chain facing the challenges of digitalization and the economic downturn // Voprosy Ekonomiki. 2021. Vol. 3. Pp. 68-83. (In Russ.). DOI: 10.32609/0042-8736-2021-3-68-83
  • Soloviev V.I. Cloud IT-services efficiency under random demand // Bulletin of the Financial University. 2013. Vol. 1(73). Pp. 120-123. (In Russ.).
  • Ivanyuk V., Soloviev V. Neural network model for the multiple factor analysis of economic efficiency of an enterprise // Lecture Notes in Computer Science. 2021. Vol. 12855LNAI. Pp. 278-289. DOI: 10.1007/978-3-030-87897-9_26
  • Antipina O.N., Inozemtsev V.L. The Dialectic of Value in Post-Industrial Society // World Economy and International Relations. 1998. Vol. 5. P. 48-59. (In Russ.). DOI: 10.20542/0131-2227-1998-5-48-59
  • Antipina O.N. How much is the digit? On the nature of value in the digital economy // Social Sciences and Contemporary World. 2019. Vol. 5. Pp. 5-16. (In Russ.). DOI: 10.31857/S086904990006558-5
  • Antipina O.N. Platforms as multi-sided markets of the digital age // World Economy and International Relations. 2020. Vol 64(3). Pp. 12-19. (In Russ.). DOI: 10.20542/0131-2227-2020-64-3-12-19
  • International information group SPARK (2023). Interfax. (In Russ.). URL: https://spark-interfax.ru/ (accessed on 15.03.2023).
  • Analiz rossijskogo rynka rechevoj analitiki 2022 [Russian speech analytics market analysis 2022] (2023). SalesAI. (In Russ.). URL: https://blog.salesai.ru/russian-market-of-ci (accessed on 18.03.2023).
  • Rynok razgovornogo AI v Rossii 2020-2025. Analitika, prognoz. Trendy [Talking AI market in Russia 2020-2025. Analytics, forecast. Trends] (2021). Just AI. (In Russ.). URL: https://just-ai.com/wp-content/uploads/2021/08/russianmarket2021-justai.pdf (accessed on 18.03.2023).
  • Servisy rechevoj analitiki dlya biznesa: za i protiv [Speech analytics services for business: pros and cons] (2022). It World. (In Russ.).  URL: https://www.it-world.ru/tech/choice/185140.html (accessed on 18.03.2023).

About the Authors

Tatyana Y. Salutina – Dr. Sci. (Economics), Docent; Head of the Department, Moscow Technical University of Communications and Informatics, Moscow, Russia. E-mail: salutina@list.ru. SPIN РИНЦ 7761-8746. ORCID: 0000-0002-7206-6583. Scopus Author ID 57208838392
Marat F. Gumerov – Dr. Sci. (Economics), Professor, Moscow Technical University of Communications and Informatics, Moscow, Russia. E-mail: maratushka85@gmail.com. SPIN РИНЦ 6385-4662. ORCID: 0000-0002-6886-0192. Scopus Author ID 57195106802
Asiya R. Kaberova – Cand. Sci. (Economics), Associate Professor, Moscow Technical University of Communications and Informatics, Moscow, Russia. E-mail: aciya@yandex.ru. SPIN РИНЦ 7453-0085. ORCID: 0000-0002-6662-1841
Galina P. Platunina – Senior Lecturer, Moscow Technical University of Communications and Informatics, Moscow, Russia. E-mail: g.p.platunina@mtuci.ru. SPIN РИНЦ 8890-5766. ORCID: 0000-0002-0304-8080. Scopus Author ID 57442600600 

For citation: Salutina T.Y., Gumerov M.F., Kaberova A.R., Platunina G.P. Decision-Making in Price Policy Management in the Speech Analytics Market // Beneficium. 2023. Vol. 2(47). Pp. 20-27. (In Russ.). DOI: 10.34680/BENEFICIUM.2023.2(47).20-27

Published
2023-06-30
Issue
No 2 (2023)
Section
INNOVATION MANAGEMENT