IDEAS home Printed from https://ideas.repec.org/a/sae/metjou/v21y2022i2p129-139.html
   My bibliography  Save this article

Factors Influencing the AI Adoption in Organizations

Author

Listed:
  • Sreejith Kurup
  • Vivek Gupta

Abstract

Adoption of Artificial Intelligence (AI) in organizations is getting popular due to the impact it is creating in business and society. While AI as a technology has made progress due to advances in various research areas, there is limited study on the adoption of AI in organizations. This article intends to develop a model for identifying the factors influencing AI adoption in organizations. We developed the model using Diffusion of Innovation and Technology-Organization-Environment theories, adopted from the field of Information Systems. In this article, we provide an analysis of application of theories toward AI adoption and provide a model at organization level. We collected data by designing a survey on 7-point Likert scale to validate our proposed model using regression-based approach and structural equation modelling. The results suggest that the change capability of an organization and leadership positively impact the AI adoption in organizations. Further, our study reflects that AI readiness by the organizations and AI adoption by trading partners of an organization also impact AI adoption positively.

Suggested Citation

  • Sreejith Kurup & Vivek Gupta, 2022. "Factors Influencing the AI Adoption in Organizations," Metamorphosis: A Journal of Management Research, , vol. 21(2), pages 129-139, December.
    • Handle: RePEc:sae:metjou:v:21:y:2022:i:2:p:129-139
    DOI: 10.1177/09726225221124035
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/09726225221124035
    Download Restriction: no
    File URL: https://libkey.io/10.1177/09726225221124035?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
    ---><---

    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:sae:metjou:v:21:y:2022:i:2:p:129-139. 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: SAGE Publications (email available below). General contact details of provider: .

    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.