IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-835-6_25.html

The Effect of Blockchain Innovation on Increasing Business Productivity

In: Proceedings of the 2025 3rd International Academic Conference on Management Innovation and Economic Development (MIED 2025)

Author

Listed:
  • Ran Li

    (Yunnan University of Finance and Economics, School of Logistics and Management Engineering)

Abstract

With the development of the economy and technology, blockchain is widely used in the business field. Blockchain can enable transparent, efficient, and secure information exchange within and between enterprises, which enables blockchain technology to have a significant impact on global businesses. Blockchain, through its decentralization, tamper proof information, and openness, further unleashes its development potential and improves enterprise efficiency. Due to the shortcomings of traditional technology in centralized data, it is impossible to achieve long-term efficient development of enterprises. The significance of the blockchain system in strengthening corporate operational efficiency is thoroughly examined in this essay and thoroughly examines how blockchain affects financial trade, identity verification, and value chain oversight. The application of blockchain can improve supply chain efficiency, enhance identity authentication, and achieve efficient trade. Therefore, enterprises are adopting emerging technologies such as blockchain to improve data transparency and integrity, thereby promoting digital development. This will drive company operations and management, enabling enterprises to achieve high-quality development.

Suggested Citation

  • Ran Li, 2025. "The Effect of Blockchain Innovation on Increasing Business Productivity," Advances in Economics, Business and Management Research, in: Barbara Siuta-Tokarska & Adriana Grigorescu & Md. Mamun Habib & Yifeng Zhu (ed.), Proceedings of the 2025 3rd International Academic Conference on Management Innovation and Economic Development (MIED 2025), pages 234-240, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-835-6_25
    DOI: 10.2991/978-94-6463-835-6_25
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    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:spr:advbcp:978-94-6463-835-6_25. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.