IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5831331.html
   My bibliography  Save this article

Legal Modeling Approach of Big Data Transaction Management in the Perspective of Digital Economy

Author

Listed:
  • Yi Wang
  • Guang Yuan
  • Zaoli Yang

Abstract

The rapid development of digital economy puts forward theoretical and practical requirements for the construction of legal model of big data transaction management (BDTM). The new problems of ambiguous data ownership, privacy leakage, chaotic digital transaction order, and low nationalization in the context of big data transactions have largely restricted the role of China’s big data transaction market and related laws and regulations and are not conducive to promoting the scientific and standardized development of China’s digital economy. In this paper, we firstly analyze the connotation, importance, and necessity of the construction of legal model of big data transaction in the era of digital economy from the basic connotation of legal model. Then, we analyze the need to adhere to the principles of systematization, security, and openness in the construction of legal model of big data transaction management and focus on four methods of contract law, market behavior, replication behavior, and dispute resolution in the construction of legal model of big data transaction management. Finally, we summarized the conclusions of this paper. The conclusions of this paper are important for promoting the transformation of digital resources into effective data elements and advancing the scientific and standardized development of China’s digital economy.

Suggested Citation

  • Yi Wang & Guang Yuan & Zaoli Yang, 2022. "Legal Modeling Approach of Big Data Transaction Management in the Perspective of Digital Economy," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, May.
  • Handle: RePEc:hin:jnlmpe:5831331
    DOI: 10.1155/2022/5831331
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5831331.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5831331.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/5831331?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:hin:jnlmpe:5831331. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.