Abstract
With deepening of economic globalization process, the increasing trade between countries, the development of cross-border e-business has been widely concerned. Hubei Province’s cross-border e-business has also integrated into the rapid development process, but there are still some problems. To explore the e-commerce in Hubei Province, here applies big-data method to massive cross-border e-business data. Through the comprehensive evaluation of six sub industries of cross-border e-commerce, the results show that the scores of sellers and cross-border payment are 85 and 80 respectively, which are at a high level, while the comprehensive scores of international logistics are the lowest. The transportation speed, security and service attitude of international logistics affect consumers’ consumption mentality. Finally, the corresponding solutions are given.
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Ma, H. (2021). Development of Cross-Border E-commerce Based on Big Data Analysis. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_13
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DOI: https://doi.org/10.1007/978-3-030-51431-0_13
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