Digital transformation of the transport industry: analysis of opportunities and risks


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DOI:

https://doi.org/10.32523/2616-7263-2024-149-4-162-187

Keywords:

transport, transport industry, business processes, artificial intelligence, expert assessment, digitalization, transformation, multimodal digital transport corridors

Abstract

In the article, by analyzing the current state of the digitalization process of the transport industry and assessing the results of a survey of experts, the degree of impact of artificial intelligence on the business processes of companies is revealed.

The study of institutional and technological changes in the field of international transport corridors is reflected in this article.  Information on the state and main trends of digital transformation of corridors is systematized, their ecosystem is analyzed, stakeholders and drivers of digitalization of the transport industry are identified. In this regard, the proper implementation of UN standards for the unification of infrastructure, digitalization of business processes to simplify transportation and transit requires the active participation of subjects of transport corridors.

The questionnaire developed by the authors of this article to survey the degree of impact of artificial intelligence on the operating technology of transport companies made it possible to assess not only the benefits of introducing artificial intelligence, but also possible risks.

Using SWOT analysis, the consequences of introducing artificial intelligence at both the micro-logistics and macro-logistics levels of companies’ functioning were studied. Based on the studied data, the main directions of action that transport market entities should follow to increase the level of digitalization of the industry have been identified.

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Published

2024-12-30

How to Cite

Mukhametzhanova А., Zhandarbekova А., Sala Д., Bekzhanova С. ., Sultanov Т., & Devetiyarova Н. (2024). Digital transformation of the transport industry: analysis of opportunities and risks. Bulletin of L.N. Gumilyov Eurasian National University Technical Science and Technology Series, 149(4), 162–187. https://doi.org/10.32523/2616-7263-2024-149-4-162-187

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