Intelligent Management Systems and Universities in the Transport Industry: Trends and Prospects

The article is devoted to identifying the most probable prospects for the use of intelligent systems in universities of the Russian system of transport education. The methodological basis of the study is built within the framework of the system functional and program-targeted approaches using the postulates of the concept of the digital economy in its modern interpretations. The methodological apparatus of the study is represented by a set of general logical methods (analysis, synthesis, analogy), theoretical methods (classification and hypothetical method), empirical methods (observation, modelling, measurement, description) and specific methods (modern methods of analytics, interpretation and visualisation of data, including PowerBI). The study systematises priority trends and tendencies in development of intelligent technologies in management of universities, and also shows that correct identification of the direction ofdevelopment should not be limited only to the analysis of megatrends, but also supplemented by taking into account the specifics of the material and technical support of the educational process in transport universities. As a result of the study, the most significant prospects for intellectualisation of management systems in educational organisations of the transport industry were determined.

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Publication Details

Journal
World of Transport and Transportation
Published
2024-12-18
DOI
https://doi.org/10.30932/1992-3252-2024-22-1-12
Primary Topic
Economic and Technological Systems Analysis
Type
article
Field-Weighted Citation Impact
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article

Intelligent Management Systems and Universities in the Transport Industry: Trends and Prospects

Olga Andreeva, А.И. Епихин, M. L. Somko, Evgeniy V. Khekert
World of Transport and Transportation
Economic and Technological Systems Analysis
article

Intelligent Management Systems and Universities in the Transport Industry: Trends and Prospects

Olga Andreeva, А.И. Епихин, M. L. Somko, Evgeniy V. Khekert
article en

Abstract

The article is devoted to identifying the most probable prospects for the use of intelligent systems in universities of the Russian system of transport education. The methodological basis of the study is built within the framework of the system functional and program-targeted approaches using the postulates of the concept of the digital economy in its modern interpretations. The methodological apparatus of the study is represented by a set of general logical methods (analysis, synthesis, analogy), theoretical methods (classification and hypothetical method), empirical methods (observation, modelling, measurement, description) and specific methods (modern methods of analytics, interpretation and visualisation of data, including PowerBI). The study systematises priority trends and tendencies in development of intelligent technologies in management of universities, and also shows that correct identification of the direction ofdevelopment should not be limited only to the analysis of megatrends, but also supplemented by taking into account the specifics of the material and technical support of the educational process in transport universities. As a result of the study, the most significant prospects for intellectualisation of management systems in educational organisations of the transport industry were determined.

World of Transport and TransportationVol. 22(1)
Rostov State Transport University (RU), Admiral Ushakov State Maritime University (RU)
Openalex Percentile: Top 60%
Economic and Technological Systems Analysis
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