THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE FORMATION OF A TOURISM MONITORING SYSTEM IN THE SOCIO-ECONOMIC DEVELOPMENT OF A REGION

Abstract

The article explores the role of artificial intelligence as a key tool for creating an integrated system for monitoring and evaluating the contribution of tourism to the socio-economic development of a region. The relevance of the study is driven by the growing importance of the tourism industry in the regional economy, as well as the need to transition from fragmented statistical accounting of tourism activities to integrated analytical systems that can account for the direct and indirect effects of tourism on the economy, social sphere, and spatial development of the region. The purpose of the study is to substantiate the methodological and analytical possibilities of using artificial intelligence in the formation of a system for monitoring the contribution of tourism to the socio-economic development of the region. The following tasks were solved to achieve this goal: modern approaches to the application of artificial intelligence and big data in the tourism sector and regional management were analyzed; the limitations of traditional statistical methods for assessing the contribution of tourism to the gross regional product and the socio-economic development of territories were identified; The role of artificial intelligence as a tool for integrating heterogeneous data on tourist activity has been substantiated; a methodological model for monitoring the contribution of tourism to the socioeconomic development of the region has been developed, which includes economic, social, and infrastructure-spatial indicators; and the directions for the practical application of intelligent analytical tools in the regional tourism management system have been identified. The study is based on the methods of economic analysis, comparative and cross-country analysis, statistical methods of data processing, and elements of data mining. The empirical base includes official statistical data for 2022-2024, materials from international organizations, analytical reports, and practices of implementing AI solutions in the tourism sector. The study shows that the use of artificial intelligence algorithms can improve the accuracy of assessing the contribution of tourism to the gross regional product, employment, household income, and the development of small businesses and infrastructure. It also provides an opportunity to assess the multiplier effect of tourism, which is poorly reflected in traditional statistics. It is concluded that the integration of artificial intelligence into regional tourism management systems creates the preconditions for the transition to a proactive model of regional policy based on forecasting, scenario analysis, and timely adjustment of management decisions. The results obtained can be used in the development of regional tourism development programs and the improvement of the system for monitoring the socio-economic development of the constituent entities of the Russian Federation.

Keywords: gross regional product, artificial intelligence, monitoring of tourist activity, multiplier effect of tourism, regional economy, socio-economic development of the region, tourism, digital management technologies

Funding: the research had no sponsorship (own resources).

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About the Authors

Natalya Yu. Omarova – Dr. Sci. (Economics), Professor; Acting Rector, Murom State Pedagogical Institute, Murom, Russia. E-mail: natalya.omarova@novsu.ru. SPIN РИНЦ 6750-4452. ORCID 0000-0003-0678-4590. Scopus Author ID 57190431350

Andrey G. Veselov – Head, Office of the Federal Tax Service of Russia for the Novgorod Region, Veliky Novgorod, Russia. E-mail: diligencedignity@yandex.ru. SPIN РИНЦ 7046-9084. ORCID 0009-0002-1613-249X

For citation: Omarova N.Yu., Veselov A.G. The Role of Artificial Intelligence in the Formation of a Tourism Monitoring System in the Socio-Economic Development of a Region // BENEFICIUM. 2026. Vol. 1(58). Pp. 151-160. (In Russ.). DOI: 10.34680/BENEFICIUM.2026.1(58).151-160