The State of Cross-border E-commerce Supply Chain Management in Guangzhou and its Optimisation Countermeasures

Haoli Tan

doi:10.54691/pdq5wv84

Authors

Haoli Tan

DOI:

https://doi.org/10.54691/pdq5wv84

Keywords:

Cross-border E-commerce; Supply Chain Management; Guangzhou; Optimization; Logistics; International Trade; Operational Model; Challenges; Global Market.

Abstract

This article discusses the current status and challenges of cross-border e-commerce supply chain management in Guangzhou, a key hub for China's international trade. With the rapid growth of e-commerce and globalization, Guangzhou has become a significant player in the cross-border e-commerce sector. However, despite the vast opportunities, there are several logistical, regulatory, and operational challenges that impact the efficiency of supply chain management. The article highlights the strengths of Guangzhou's e-commerce model and identifies key optimization countermeasures to enhance the performance and resilience of its cross-border e-commerce supply chains.

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References

[1] Guo, H., & Zou, T. (2022). [Retracted] Cross‐Border E‐Commerce Platform Logistics and Supply Chain Network Optimization Based on Deep Learning. Mobile Information Systems, 2022(1), 2203322.

[2] Wang, W. (2023). A IoT-based framework for cross-border e-commerce supply chain using machine learning and optimization. IEEE Access.

[3] Xia, L., & Liu, S. (2021). Intelligent IoT‐Based Cross‐Border e‐Commerce Supply Chain Performance Optimization. Wireless Communications and Mobile Computing, 2021(1), 9961925.

[4] Ye, W. (2024). E-commerce logistics and supply chain network optimization for cross-border. Journal of Grid Computing, 22(1), 22.

[5] Zhou, F. (2024). Optimization analysis of cross-border e-commerce marketing strategy based on the SCOR model. Applied Mathematics and Nonlinear Sciences.

[6] Wang, D., & Li, W. (2021). Optimization algorithm and simulation of supply chain coordination based on cross-border E-commerce network platform. Eurasip Journal on Wireless Communications and Networking, 2021, 1-19.

[7] Shi, J. (2022). Research on Optimization of Cross‐Border e‐Commerce Logistics Distribution Network in the Context of Artificial Intelligence. Mobile Information Systems, 2022(1), 3022280.

[8] Giuffrida, M., Mangiaracina, R., Perego, A., & Tumino, A. (2017). Cross-border B2C e-commerce to Greater China and the role of logistics: a literature review. International Journal of Physical Distribution & Logistics Management, 47(9), 772-795.

[9] He, Y., Wu, R., & Choi, Y. J. (2021). International logistics and cross-border E-commerce trade: who matters whom?. Sustainability, 13(4), 1745.

[10] Liang, Y., Guo, L., Li, J., Zhang, S., & Fei, X. (2021). The impact of trade facilitation on cross-border E-Commerce transactions: Analysis based on the Marine and land cross-border Logistical Practices between China and countries along the “belt and road”. Water, 13(24), 3567.

[11] Li, Z., Gao, G., Xiao, X., & Zuo, H. (2023). Factors and formation path of cross-border E-commerce logistics mode selection. Sustainability, 15(4), 3685.

[12] Liu, X., Chen, D., & Cai, J. (2015). The operation of the cross-border e-commerce logistics in China. International Journal of Intelligent Information Systems, 4(2), 15-18.

[13] Ye, W. (2024). E-commerce logistics and supply chain network optimization for cross-border. Journal of Grid Computing, 22(1), 22.

[14] Wang, X., Xie, J., & Fan, Z. P. (2021). B2C cross-border E-commerce logistics mode selection considering product returns. International Journal of Production Research, 59(13), 3841-3860.

[15] Jin, Y. (2024). An Empirical Study on the Development Environment of Cross-border E-commerce Logistics in the Global Trade Context: Exploring the Digital Marketing Landscape.

[16] Lai, J. (2019, September). Research on cross-border E-commerce logistics supply under block chain. In 2019 International Conference on Computer Network, Electronic and Automation (ICCNEA) (pp. 214-218). IEEE.

[17] Yang, Y. (2022). Selection Method of Cross‐Border e‐Commerce Export Logistics Mode Based on Collaborative Filtering Algorithm. Journal of Mathematics, 2022(1), 6885432.

[18] Qi, X., Qin, W., & Lin, B. (2024). Case study on synergistic development strategy of cross-border e-commerce and logistics: An empirically model estimation. Plos one, 19(6), e0304393.

[19] Yang, L., Dong, J., & Yang, W. (2024). Analysis of Regional Competitiveness of China’s Cross-Border E-Commerce. Sustainability, 16(3), 1007.

[20] Liu, A., Osewe, M., Shi, Y., Zhen, X., & Wu, Y. (2021). Cross-border e-commerce development and challenges in China: A systematic literature review. Journal of theoretical and applied electronic commerce research, 17(1), 69-88.

[21] Giuffrida, M., Mangiaracina, R., Perego, A., & Tumino, A. (2017). Cross-border B2C e-commerce to Greater China and the role of logistics: a literature review. International Journal of Physical Distribution & Logistics Management, 47(9), 772-795.

[22] Wang, Y., Wang, Y., & Lee, S. H. (2017). The effect of cross-border e-commerce on China’s international trade: An empirical study based on transaction cost analysis. Sustainability, 9(11), 2028.

[23] Wang, C., Liu, T., Wang, J., Li, D., Wen, D., Ziomkovskaya, P., & Zhao, Y. (2022). Cross-border e-commerce trade and industrial clusters: evidence from China. Sustainability, 14(6), 3576.