IDEAS home Printed from https://ideas.repec.org/a/eee/techno/v133y2024ics0166497224000713.html
   My bibliography  Save this article

Applications of generative AI and future organizational performance: The mediating role of explorative and exploitative innovation and the moderating role of ethical dilemmas and environmental dynamism

Author

Listed:
  • Singh, Kuldeep
  • Chatterjee, Sheshadri
  • Mariani, Marcello

Abstract

Generative Artificial Intelligence (GenAI) is one of the popular AI technologies which can produce multiple kinds of contents including music, text, image, as well as synthetic data. As GenAI technology can produce various forms of contents, organizations must face ethical dilemmas as to where this technology is likely to be used. Organizations do not want to compromise their ethical standards and compliance policies. Against this backdrop, the aim of this study is to examine if GenAI technology could improve the future performance of the organizations. This study deployed ethical dilemmas and environmental dynamism as two moderators acting on different linkages between adoption of GenAI and organizational future performance. With the help of literature review and theories, a theoretical model has been developed conceptually which was validated using PLS-SEM technique with the feedback of 326 responses from different types of organizations. This study found that the adoption of GenAI could improve exploratory and exploitative innovation under the moderating effects of environmental dynamism and ethical dilemmas. Moreover, it highlighted that the application of GenAI could improve organizational performance.

Suggested Citation

  • Singh, Kuldeep & Chatterjee, Sheshadri & Mariani, Marcello, 2024. "Applications of generative AI and future organizational performance: The mediating role of explorative and exploitative innovation and the moderating role of ethical dilemmas and environmental dynamis," Technovation, Elsevier, vol. 133(C).
    • Handle: RePEc:eee:techno:v:133:y:2024:i:c:s0166497224000713
    DOI: 10.1016/j.technovation.2024.103021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0166497224000713
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.technovation.2024.103021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:eee:techno:v:133:y:2024:i:c:s0166497224000713. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/01664972 .

    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.