IDEAS home Printed from https://ideas.repec.org/a/ids/ijnvor/v31y2024i3p239-253.html
   My bibliography  Save this article

Embedding artificial intelligence into business operations: an examination of AI on corporate social and economic development

Author

Listed:
  • Cuiping Liu
  • Jing Li

Abstract

AI optimises decision-making processes, streamlines business operations, and fosters innovation which ultimately drives competitiveness and growth of the corporates. AI's adaptive capabilities empower businesses to adapt to dynamic market conditions and stay at the forefront of technological advancements. The study presently explores the correlation of AI-embedded technologies toward social development (SOD) and economic development (ECOD). An insight examination of each AI technology such as predictive analytics, big data analytics, Internet of Things (IoT), virtual reality, blockchain, and neuromorphic computing was additionally validated by affirming the nexus of social and ECOD. It was deeply observed that each dimension of AI has a direct relationship with SOD. Likewise, the study assured a positive nexus between AI dimensions and ECOD.

Suggested Citation

  • Cuiping Liu & Jing Li, 2024. "Embedding artificial intelligence into business operations: an examination of AI on corporate social and economic development," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 31(3), pages 239-253.
    • Handle: RePEc:ids:ijnvor:v:31:y:2024:i:3:p:239-253
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=143323
    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:ijnvor:v:31:y:2024:i:3:p:239-253. 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=22 .

    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.