IDEAS home Printed from https://ideas.repec.org/a/ids/ijassi/v12y2025i3p272-285.html
   My bibliography  Save this article

Artificial intelligence and firm competitive performance: an empirical assessment of industrial-IoTs with moderation of financial risk management system

Author

Listed:
  • Jiaxu Wang
  • Hongwei Lin

Abstract

This study explores the connection between industrial IoTs and organisational competitive performance (OCP) along with financial risk (FNR) as moderator from the domain of China. To this end, the first aim is to investigate the relationships of certain evolving industrial IoTs (e.g., smart sensors, RFID, connected machines, industrial robotics, predictive maintenance systems, energy management systems, remote monitoring, and asset tracing) on OCP. Second, this study attempts to uncover the moderating nexus of FNR between industrial IoTs and OCP. This study provides insights into industrial IoTs, organisational competitive performance, and financial risk showing a positive between IoTs and organisational competitive performance. Likewise, a positive moderation of FNR was observed. Besides, this study highlights some limitations, and therefore authors can incorporate these limitations to validate the findings from the rest of the world in the future.

Suggested Citation

  • Jiaxu Wang & Hongwei Lin, 2025. "Artificial intelligence and firm competitive performance: an empirical assessment of industrial-IoTs with moderation of financial risk management system," International Journal of Applied Systemic Studies, Inderscience Enterprises Ltd, vol. 12(3), pages 272-285.
    • Handle: RePEc:ids:ijassi:v:12:y:2025:i:3:p:272-285
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=148189
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    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:ids:ijassi:v:12:y:2025:i:3:p:272-285. 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=205 .

    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.