A study of the effectiveness of investments in an innovative model for processing and managing data in the tourism industry (based on Chinese and Russian tourism companies)

DOI: 10.33917/mic-1.126.2026.53-66

This article examines the effectiveness of investments in an innovative digital model for processing customer preference data for enterprises in the tourism industry in China and Russia, based on an innovative modification of the Cobb-Douglas production function. The hypotheses were empirically confirmed during the validation of the obtained data. The study’s results are presented in conclusions and recommendations for various groups of large, small, and medium-sized enterprises, for government policy on digitalization of the industry, and for international cooperation.

References:

1. Zavyalova E.B. The 4th industrial revolution and digital transformation: changes and challenges / E.B. Zavyalova, M.V. Safronchuk, A.E. Burzhinkaya. International Journal of Economic Policy in Emerging Economies. 2022;16(2/3/4):417.

2. Hong Yunmiao, Shi Jiuling. Data Elements and the Data Economy. Economic Theory and Economic Management. 2024;44(8):1-16.

3. Ghasemaghaei M., Calic G. Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-Driven Insights. Journal of Business Research. 2019;104:69-84.

4. Badmus O., Rajput S.A., Arogundade J.B., Williams M. AI-driven business analytics and decision making. World Journal of Advanced Research and Reviews. 2024;24(01):616-633. URL: https://wjarr.com/sites/default/files/WJARR-2024-3093.pdf

5. Luca G., Rosciano M. Google Trends Data and Transfer Function Models to Predict Tourism Demand in Italy. Journal of Tourism Futures. 2013. URL: (PDF) Google Trends data and transfer function models to predict tourism demand in Italy

6. Mankiw N.G. Macroeconomics. 7th edition, USA: Harvard University, Worth Publishers, Macmillan Learning, 2010. 641 p.

7. Pranevich A., Khatskevich G. Technological Progress and Neutrality by Hicks, Harrod, and Solow: Genesis, Construction, and Generalizations. Belarusian Economic Journal. 2020;3:87-105.

Prospects for using digitalization methods in the economy

DOI: 10.33917/mic-3.116.2024.37-40

An analysis of methods for processing digital information and business analytics for civil aviation enterprises is presented using the example of “Data Science”.

References:

1. Gubanova A.V. Digital transformation as a tool for developing the competitiveness of industrial enterprises. Creative economy. 2020;6:17-18. (In Russ.).

2. Zhukovskaya I.V., Akaeva V.R., Kuzmin M.S. Current problems of digitalization of companies using the example of the industrial sector. Microeconomics. 2023;4:51-55. (In Russ.).

3. Ragimkhanov A.V. Systematization of scientific approaches to the study of competitiveness of services: from theory to practice. / A.V. Ragimkhanov, I.V. Zhukovskaya. Microeconomics. 2022;1:75-78. (In Russ.).

4. Official website of the Aeroflot company. URL: https://ir.aeroflot.ru/ru/company-overview/traffic-and-financial-highlights/