IDEAS home Printed from https://ideas.repec.org/a/ids/ijitma/v22y2023i3-4p335-353.html
   My bibliography  Save this article

Design and implementation of corporate governance automated decision model based on web data

Author

Listed:
  • Qiang Ma

Abstract

As a global, dynamic interactive and cross platform distributed graphic information system based on the hypertext and HTTP, the web provides a graphical and easy to access intuitive interface for users to find information, and organises the information nodes into an interrelated network structure. In corporate governance, information mining and processing is particularly important. Web data can provide a large amount of high-dimensional structured and unstructured data for corporate decision makers to make more effective management decisions. Therefore, this paper attempts to build a model to help managers improve their decision-making ability and corporate governance. Through the integration of web data, this paper tests the impact of executives' ME on perks. The results show that the background characteristics of executives could affect their decision making, and the model can be established under certain constraints. This paper enriches the application of decision-making model to improve the level of corporate governance.

Suggested Citation

  • Qiang Ma, 2023. "Design and implementation of corporate governance automated decision model based on web data," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 22(3/4), pages 335-353.
  • Handle: RePEc:ids:ijitma:v:22:y:2023:i:3/4:p:335-353
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=131825
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijitma:v:22:y:2023:i:3/4:p:335-353. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=18 .

    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.