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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

DEVELOPMENT OF AN ECONOMIC MODEL FOR FORECASTING AND MONITORING THE EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE TECHNOLOGY IMPLEMENTATION IN PRODUCTION INFRASTRUCTURE: THE CASE OF NAVOI REGION

Alfira F. SAYFULINA
Zenodo (CERN European Organization for Nuclear Research)
Digital Economy and Transformation
article

DEVELOPMENT OF AN ECONOMIC MODEL FOR FORECASTING AND MONITORING THE EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE TECHNOLOGY IMPLEMENTATION IN PRODUCTION INFRASTRUCTURE: THE CASE OF NAVOI REGION

Alfira F. SAYFULINA
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Navoi State University (UZ), Navoi State University of Mining and Technologies (UZ)
Decent work and economic growth
Openalex Percentile: Top 8%
Digital Economy and Transformation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.