IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-770-0_10.html

Research on the Innovative Transformation of Scientific Research Financial Management Driven by Digital Intelligence

In: Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025)

Author

Listed:
  • Xinglin Li

    (Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology)

  • Jing Gao

    (Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology)

  • Mingxuan Shi

    (Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology)

Abstract

Under the context of traditional models encountering bottlenecks in scientific research fund management, this study constructs a three-dimensional framework of “Mini-App Interaction (MAI) – Background Task Orchestration (BTO) – Data Governance Architecture (DGA)” to explore innovative applications of intelligent financial cabinets. The research conducts a comprehensive analysis of the system architecture and functional design of intelligent financial cabinets. The system architecture encompasses three core components: the WeChat Mini-App interface, a backend management platform, and data interaction mechanisms. It integrates advanced features such as smart document delivery, order retrieval, and closed-loop feedback, optimizing the entire workflow of financial operations. Empirical results demonstrate that intelligent financial cabinets significantly enhance the efficiency of research fund management by enabling full traceability of operational records. Additionally, they foster business-finance integration through digital data provenance and drive the transformation of financial services. Future developments will integrate artificial intelligence and blockchain technologies to further advance the digital transformation of research fund management, offering valuable insights for other domains.

Suggested Citation

  • Xinglin Li & Jing Gao & Mingxuan Shi, 2025. "Research on the Innovative Transformation of Scientific Research Financial Management Driven by Digital Intelligence," Advances in Economics, Business and Management Research, in: Wenke Zang & Chunping Xia (ed.), Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025), pages 76-83, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-770-0_10
    DOI: 10.2991/978-94-6463-770-0_10
    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:978-94-6463-770-0_10. 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.