IDEAS home Printed from https://ideas.repec.org/a/gam/jrisks/v12y2024i6p87-d1400490.html
   My bibliography  Save this article

Integration of AI and IoT into Corporate Social Responsibility Strategies for Financial Risk Management and Sustainable Development

Author

Listed:
  • Anna Viktorovna Shkalenko

    (Research Sector, Moscow Polytechnic University, 107023 Moscow, Russia)

  • Anton V. Nazarenko

    (Faculty of Economics and Management, Moscow Polytechnic University, 107023 Moscow, Russia)

Abstract

This research explores the integration of artificial intelligence (AI) and the Internet of Things (IoT) within corporate social responsibility (CSR) strategies, focusing on financial risk management and sustainable development. Employing a novel Coevolutionary multi-paradigm approach to technological development, this study examines how these technologies can be embedded into CSR practices to enhance sustainability and manage risks effectively. The findings reveal that successful integration depends significantly on the adaptability of institutional structures to support technological innovations. This study contributes to the literature by providing a comprehensive analysis of the intersection of AI, IoT, and CSR, highlighting the necessity for robust mechanisms and policies that ensure security, standardization, and sustainable use of emerging technologies. Through this investigation, this research offers a new perspective on leveraging advanced technologies to advance corporate sustainability and risk management objectives.

Suggested Citation

  • Anna Viktorovna Shkalenko & Anton V. Nazarenko, 2024. "Integration of AI and IoT into Corporate Social Responsibility Strategies for Financial Risk Management and Sustainable Development," Risks, MDPI, vol. 12(6), pages 1-21, May.
  • Handle: RePEc:gam:jrisks:v:12:y:2024:i:6:p:87-:d:1400490
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-9091/12/6/87/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-9091/12/6/87/
    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:gam:jrisks:v:12:y:2024:i:6:p:87-:d:1400490. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.