IDEAS home Printed from https://ideas.repec.org/a/igg/jisss0/v14y2022i2p1-14.html
   My bibliography  Save this article

Development Analysis of Cross-Border E-Commerce Logistics Based on Big Data Technology Under Safety Law Protection

Author

Listed:
  • Long Wen

    (Hunan Vocational College of Modern Logistics, China)

Abstract

To improve logistics level of cross-border e-commerce, big data technology can effectively enhance its logistics level. Firstly, difficulties existing in international logistics management and the necessity of international logistics supply chain management are discussed. Secondly, challenges and opportunities of big data technology to cross-border E-commerce are analyzed respectively. Big data logistics and its characteristics are studied in depth. The cross-border e-commerce sales forecast model is established based on GM(1,1), and the proposed model is verified based on case study, simulation results show that the prediction model can improve the prediction precision of sales amount. Finally, integration measurements of big data and cross-border E-commerce are put forward under a suitable local law protection.

Suggested Citation

  • Long Wen, 2022. "Development Analysis of Cross-Border E-Commerce Logistics Based on Big Data Technology Under Safety Law Protection," International Journal of Information Systems in the Service Sector (IJISSS), IGI Global, vol. 14(2), pages 1-14, April.
  • Handle: RePEc:igg:jisss0:v:14:y:2022:i:2:p:1-14
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISSS.290547
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jisss0:v:14:y:2022:i:2:p:1-14. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.