Model of Management of the Risk Component of Intermodal Transport: Information and Communication Technologies of Transport Logistics

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Abstract

The purpose of the work is to determine the influence of various types of transport and intermodal transport in effectiveness of modern company’s transport logistics and to develop the model of management of the risk component of intermodal transport on the basis of new ICT within optimization of modern company’s transport logistics. This goal is achieved with the help of regression analysis, in two stages. The first stage includes determining the influence of the share of intermodal transport on export activity, simplicity of doing business, and effectiveness of logistics in the countries of the world. The second stage includes evaluation of various types of transport on effectiveness of logistics. At that, the authors use the official statistical materials of the World Bank and the OECD for 2016. The research objects include the leaders for volumes of export in 2016 – China, the USA, Germany, and Japan (according to the ranking), and Russia. It is concluded that intermodal transport ensure increase of effectiveness of transport logistics of a modern company and are more preferable than selection of one type of transport; application of the new information and communication technologies (ICT) opens new wide possibilities and new perspectives in the sphere of solving the problem of management of the risk component of this transport. The authors offer the proprietary model of management of the risk component of intermodal transport on the basis of new ICT within optimization of modern company’s transport logistics, which shows that transition of managerial processes into electronic form and their authomatization allows reducing the main risks of intermodal transport.

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Zelikov, V. A., Akopova, E. S., Pilivanova, E. K., & Popova, L. K. (2019). Model of Management of the Risk Component of Intermodal Transport: Information and Communication Technologies of Transport Logistics. In Advances in Intelligent Systems and Computing (Vol. 726, pp. 668–675). Springer Verlag. https://doi.org/10.1007/978-3-319-90835-9_77

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