ECONOMIC AND THEORETICAL FOUNDATIONS OF IMPROVING THE ECONOMIC EFFICIENCY OF RAILWAY TRANSPORT ENTERPRISES THROUGH ARTIFICIAL INTELLIGENCE

The article examines the economic and theoretical foundations of improving the economic efficiency of railway transport enterprises through artificial intelligence (AI). The author develops definitions of AI and economic efficiency for railway enterprises, an expanded classification of AI technologies based on seven criteria, a scheme illustrating how AI generates economic effects along the freight transport chain, and five economic principles for applying AI.

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Publication Details

Journal
ECONOSCITECH INTEGRATION
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23831400
Primary Topic
Transport and Logistics Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

ECONOMIC AND THEORETICAL FOUNDATIONS OF IMPROVING THE ECONOMIC EFFICIENCY OF RAILWAY TRANSPORT ENTERPRISES THROUGH ARTIFICIAL INTELLIGENCE

Shаkirovа Fаrog‘аt Boltаevnа
ECONOSCITECH INTEGRATION
Transport and Logistics Innovations
article

ECONOMIC AND THEORETICAL FOUNDATIONS OF IMPROVING THE ECONOMIC EFFICIENCY OF RAILWAY TRANSPORT ENTERPRISES THROUGH ARTIFICIAL INTELLIGENCE

Shаkirovа Fаrog‘аt Boltаevnа
article en

Abstract

The article examines the economic and theoretical foundations of improving the economic efficiency of railway transport enterprises through artificial intelligence (AI). The author develops definitions of AI and economic efficiency for railway enterprises, an expanded classification of AI technologies based on seven criteria, a scheme illustrating how AI generates economic effects along the freight transport chain, and five economic principles for applying AI.

ECONOSCITECH INTEGRATION
Tashkent State Transport University (UZ)
Openalex Percentile: Top 13%
Transport and Logistics Innovations
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