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Based on Big Data Analysis of the Phased Development of China’s Marketing

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Application of Big Data, Blockchain, and Internet of Things for Education Informatization (BigIoT-EDU 2022)

Abstract

The marketing of China is based on the phased development of the market. The first phase, from 1985 to 1993, was mainly focused on product promotion and brand-building. The second phase, from 1994 to 2003, was about developing a comprehensive national strategy for marketing. In 2004, China’s government launched a third phase which focuses on building an integrated national strategy for marketing with the aim of achieving sustainable development in all aspects of marketing. The phased development analysis of Chinese marketing based on big data is a research paper describing the analysis and discussion of the phased development of Chinese marketing. The author analyzes the evolution of Chinese marketing from the initial stage to today, and discusses how this evolution is affected by factors such as economic growth, political change, technological innovation, social change and cultural differences. This article provides readers with an understanding of what the Chinese market is like today and how it has developed over time. This paper analyzes many changes brought by big data analysis to marketing from the aspects of saving time and cost, changes in the nature of marketing, market segmentation, etc., and finally puts forward some strategies for the application of big data analysis in marketing. It also explains why the current situation of China is different from that of other countries in terms of culture, politics, etc., so as to provide readers with insights.

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Correspondence to Mei Zhao .

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhao, M., Li, P., Li, C., Han, S., Shao, W. (2023). Based on Big Data Analysis of the Phased Development of China’s Marketing. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 467. Springer, Cham. https://doi.org/10.1007/978-3-031-23944-1_39

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  • DOI: https://doi.org/10.1007/978-3-031-23944-1_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23943-4

  • Online ISBN: 978-3-031-23944-1

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