Skip to main content

Application Research of Big Data Technology in Cross-Border E-Commerce Store Operation

  • Conference paper
  • First Online:
Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1117))

  • 159 Accesses

Abstract

The development of the Internet has brought rapid development of e-commerce in China, while traditional foreign trade transactions have encountered new opportunities and challenges. Cross-border e-commerce has flourished in China. This model changes the product sales model and sales targets. More extensive, involving more technology and people. However, in the process of cross-border e-commerce development, enterprise stores are faced with problems such as product selection and construction, attracting traffic, store maintenance and cross-border logistics and distribution. Based on the analysis of the problem, this paper deals with various aspects from the perspective of big data technology. In the near future, big data technology will be more deeply applied in the cross-border field. This kind of application will face greater pressure on enterprises. As long as the data analysis is continuously improved and the essence of data analysis is achieved, accurate customer sales can be achieved. In order to ensure the long-term development of the store.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 429.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 549.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 549.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Hu, L., Li, S.: The impact of cross-border e-commerce development on China’s foreign trade model transformation. Bus. Econ. Res. 19, 142–145 (2019)

    Google Scholar 

  2. Huang, Y.: Application of big data technology in cross-border e-commerce industry chain. Foreign Trade 07, 75–77 (2019)

    Google Scholar 

  3. Gao, T.: Analysis of the construction of cross-border e-commerce supply chain platform under the background of big data. Shopp. Mall Mod. 12, 70–71 (2019)

    Google Scholar 

  4. Deng, Z.: Analysis strategy of cross-border e-commerce platform selection based on big data. Spec. Econ. Zone 06, 135–137 (2019)

    Google Scholar 

  5. Li, W., Zhao, R.: Research on cross-border e-commerce logistics chain optimization based on supply chain perspective. Bus. Econ. Res. 12, 76–79 (2019)

    Google Scholar 

  6. Zhang, W.: Exploring the application of big data technology in cross-border e-commerce. Mod. Mark. (Late Issue) 06, 204–205 (2019)

    Google Scholar 

  7. Deng, Z.: Research on the overall operation mode of cross-border e-commerce under the background of big data. Econ. Res. Guide 13, 162–164+177 (2019)

    Google Scholar 

  8. Sun, Y.: Application of big data technology in cross-border e-commerce. Coop. Econ. Technol. 07, 90–91 (2019)

    Google Scholar 

  9. Huang, Y., Ma, G.: The status quo, problems and countermeasures of cross-border e-commerce development in Zhejiang Province under the “New Normal”. E-commerce 03, 28–29 (2019)

    Google Scholar 

  10. Li, S.: Analysis of new retail import cross-border e-commerce logistics model. Coop. Econ. Technol. 03, 78–79 (2019)

    Google Scholar 

  11. Ye, P.: Amazon Cross-Border E-Commerce Operations Combat. China Railway Publishing Co., Ltd (2019)

    Google Scholar 

Download references

Acknowledgements

Jiangsu University Philosophy and Social Science Research Fund Project “Research on Innovation Mechanism of Rural E-Commerce Development Model Based on Synergistic Effect”. Project number: 2019SJA1475; First Level Key Built Discipline Projects of the Business Administration under Jiangsu Provincial “the 13th Five-Year Plan”. Project number: SJY201609; Nantong Institute of Research professor and doctoral research project (201823).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhitan Feng .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Feng, Z. (2020). Application Research of Big Data Technology in Cross-Border E-Commerce Store Operation. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2019. Advances in Intelligent Systems and Computing, vol 1117. Springer, Singapore. https://doi.org/10.1007/978-981-15-2568-1_131

Download citation

Publish with us

Policies and ethics