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Features of Personnel Reproduction in the Transport Industry

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VIII International Scientific Siberian Transport Forum (TransSiberia 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1116))

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Abstract

The article investigates the problem of personnel reproduction in the transport industry. The aim is to determine the special aspects of staffing in transport in terms of changing educational paradigms. The methodology of the present study is based on the competence approach (V. I. Baydenko, I.A. Zimnjaja), facilitation approach (K. Rogers), K. Marx’s theory of labor value, the theory of labor behavior (F. Taylor, F. Hertzberg) and the doctrine of human needs (E. Mayo, A. Maslow.) Classical methods contributed to the achievement of this aim: analysis and synthesis. The analysis was applied to: statistics on institutions of higher education, literature on Pedagogy, Psychology, Labor Economics and literature on various modes of transport. The experience of transport systems in Russia, Germany and France was analyzed. The author stated the reasons for the specificity of education in transport universities and identified educational institutions that are a source of personnel for the transport industry. In order to identify the need for specialists in the Federal districts, the University was determined to belong to a certain subject of the Russian Federation, and the provision of each with transport infrastructure was studied. The Web portal hh.ru with data for workplaces was surveyed; jobs relating to the category of “Transport” were identified, as well as the number of CVs per one vacancy in the same group. In conclusion, the author identified the features of personnel reproduction in the transport industry.

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Correspondence to Viktoriya Vinichenko .

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Vinichenko, V. (2020). Features of Personnel Reproduction in the Transport Industry. In: Popovic, Z., Manakov, A., Breskich, V. (eds) VIII International Scientific Siberian Transport Forum. TransSiberia 2019. Advances in Intelligent Systems and Computing, vol 1116. Springer, Cham. https://doi.org/10.1007/978-3-030-37919-3_61

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  • DOI: https://doi.org/10.1007/978-3-030-37919-3_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37918-6

  • Online ISBN: 978-3-030-37919-3

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