DEVELOPMENT OF AN ECONOMIC MODEL FOR FORECASTING AND MONITORING THE EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE TECHNOLOGY IMPLEMENTATION IN PRODUCTION INFRASTRUCTURE: THE CASE OF NAVOI REGION
This article develops an economic model for forecasting and monitoring the effectiveness of artificial intelligence (AI) technology implementation in the production infrastructure of Navoi Region. The study examines the relationship between the use of AI technologies and production efficiency, labour productivity, costs, resource utilisation, and the economic performance of enterprises. Based on the economic indicators of industrial enterprises in the region, criteria for assessing the effectiveness of AI technology implementation are systematised. The proposed forecasting and monitoring model takes into account the interrelationships among economic, technological, and organisational factors. Based on the results of the study, scientific and practical proposals are developed for the systematic assessment of the effectiveness of AI implementation, the identification of potential risks, the forecasting of economic outcomes, and the improvement of management decision-making. Practical recommendations are also formulated to support the development of industrial policy at the regional level.
Authors
- Alfira F. SAYFULINA (ORCID: https://orcid.org/0009-0002-9139-1037)
Institutions
- Navoi State University (UZ)
- Navoi State University of Mining and Technologies (UZ)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-30
- DOI
- https://doi.org/10.5281/zenodo.23057537
- Primary Topic
- Digital Economy and Transformation
- Type
- article
- Field-Weighted Citation Impact
- 0.00