Abstract
Thanks to the “one belt one road” initiative, the international logistics of Western China has made a huge development. However, the shortage of top international logistics talents prevents its further progress. This paper induces the demand types of talents and analyzes it by using the gray forecast model respectively from the qualitative and quantitative aspect. Aiming at the demand, a double-three-spiral talent training model is built, which include school-government optimizing schooling resources; joint practice platforms of school-enterprise; government-enterprise perfecting the mechanism. With perfecting three-year graduate education system, internalizing knowledge, externalizing capability, and improving themselves, the quality of talents training is finally improved.
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Acknowledgement
The authors would like to appreciate anonymous referees for their remarkable comments and enormous support by the following projects: analysis of the Master Training Program Major in Logistics Engineering, the “EU-China Tuning Study Project”, Ministry of Education of the People’s Republic of China, the Specialized Research Fund for the Doctoral Program of Higher Education, China (No. 20130191110045),the National Nature Science Foundation of China (71301177), The National Key Support Program, China (No. 2015BAH46F01, 2015BAF05B03), the Chongqing Science and Technology Research Program, China(No. cstc2014yykfA40096, 2014yykfA40006, 2015yykf-C60002, cstc2015yykfAC0007), and the Fundamental Research Funds for the Central Universities, China (No. CDJZR14110001, 13110048, 106112015CDJSK02JD05).
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Deng, L., Li, Z., Yuan, F., Wang, X., Zhang, Y. (2018). Analysis of International Logistics Top Talent Training Based on “One Belt One Road”—Taking the Western China as an Example. In: Wang, S., Price, M., Lim, M., Jin, Y., Luo, Y., Chen, R. (eds) Recent Advances in Intelligent Manufacturing . ICSEE IMIOT 2018 2018. Communications in Computer and Information Science, vol 923. Springer, Singapore. https://doi.org/10.1007/978-981-13-2396-6_9
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DOI: https://doi.org/10.1007/978-981-13-2396-6_9
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