ENHANCING ECONOMIC EFFICIENCY AND FORECAST INDICATORS OF SCALING BIG DATA SOLUTIONS IN THE TOURISM INDUSTRY
DOI:
https://doi.org/10.5281/zenodo.22823488Abstract
This article analyzes the economic efficiency of scaling Big Data solutions within the tourism industry, outlining
specific mechanisms for cost reduction and revenue maximization. Furthermore, it presents macroeconomic forecast
indicators for Uzbekistan’s tourism sector for the 2026–2030 period. Based on the Integrated Efficiency Index (ISIK), a
three-scenario forecast, and sensitivity analysis, the study evaluates the comprehensive impact of Big Data and National
Tourism Data Hub (NTDH) integration on tourism exports, GDP contribution, average tourist expenditure, and employment
generation.
Keywords
Big Data, tourism economics, economic efficiency, ISIK, NTDH, forecasting, scenario analysis, digital integration.References
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