IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-598-0_45.html

Research on Performance Evaluation Optimization of Rural Commercial Bank Based on Profit Center under Digital Background

In: Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024)

Author

Listed:
  • Xiaoyu Shen

    (Wuhan University, School of Economics and Management)

Abstract

In the digital era, commercial banks are using digital technology to improve the efficiency and accuracy of financial management and improve the accuracy and foresight of financial information. This paper takes SZ Rural Commercial Bank as an example, and proposes an optimization plan for profit center performance evaluation based on business lines through analysis of external and internal environment. Including the basic principles of profit center construction and the deepening application of digital transformation to management accounting, EVA and RAROC are introduced to measure the "return after risk" and "risk-adjusted return on capital" indicators. Through the analysis of profit center performance evaluation results and EVA and RAROC of different profit centers, the highlights and difficulties of value creation of different profit centers are clarified, and the overall operating performance indicators of SZ Rural Commercial Bank also show a trend of improvement. This paper holds that the optimization of profit center performance evaluation can help banks improve their business level, optimize resource allocation, strengthen internal cooperation, identify market opportunities and risks, and stimulate the enthusiasm of employees, so as to promote the steady development and sustainable profit of banks.

Suggested Citation

  • Xiaoyu Shen, 2024. "Research on Performance Evaluation Optimization of Rural Commercial Bank Based on Profit Center under Digital Background," Advances in Economics, Business and Management Research, in: Qiujing Wu & Songsong Liu & Guoliang Wang & Jia Li (ed.), Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024), pages 447-454, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-598-0_45
    DOI: 10.2991/978-94-6463-598-0_45
    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:978-94-6463-598-0_45. 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.