IDEAS home Printed from https://ideas.repec.org/a/aac/ijirss/v8y2025i2p843-853id5336.html
   My bibliography  Save this article

Research on big data technology application capability in Guangdong banking industry

Author

Listed:
  • Juanjuan He
  • Madya Abdul Manaf Bohari
  • Abdul Shukor bin Shamsudin

Abstract

This study examines the impact of digital dynamic capabilities on bank performance in Guangdong Province, focusing on big data technologies, data application modules, dynamic data modeling efficiency, and technology talent. The study uses big data visualization and regression analysis, collecting data from Guangdong banks between 2015 and 2023, to explore the relationship between digital dynamic capabilities and bank performance. The analysis finds that big data technology investment has the largest positive impact on performance, followed by data application modules, dynamic data modeling efficiency, and the proportion of big data technology personnel. The study highlights the importance of investment in big data, effective data application, and skilled personnel in enhancing bank performance, with large state-owned banks leading the digital transformation. Banks should focus on increasing big data investment, expanding data application modules, and developing a strong data talent pool to drive their digital transformation and improve performance.

Suggested Citation

  • Juanjuan He & Madya Abdul Manaf Bohari & Abdul Shukor bin Shamsudin, 2025. "Research on big data technology application capability in Guangdong banking industry," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(2), pages 843-853.
  • Handle: RePEc:aac:ijirss:v:8:y:2025:i:2:p:843-853:id:5336
    as

    Download full text from publisher

    File URL: https://ijirss.com/index.php/ijirss/article/view/5336/894
    Download Restriction: no
    ---><---

    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:aac:ijirss:v:8:y:2025:i:2:p:843-853:id:5336. 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: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .

    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.