IDEAS home Printed from https://ideas.repec.org/p/ulb/ulbeco/2013-341443.html
   My bibliography  Save this paper

European enterprise survey on the use of technologies based on artificial intelligence

Author

Listed:
  • Snezha SK Kazakova
  • Allison AD Dunne
  • Daan DB Bijwaard
  • Julien Gosse
  • Charles Hoffreumon
  • Nicolas van Zeebroeck

Abstract

No abstract is available for this item.

Suggested Citation

  • Snezha SK Kazakova & Allison AD Dunne & Daan DB Bijwaard & Julien Gosse & Charles Hoffreumon & Nicolas van Zeebroeck, 2020. "European enterprise survey on the use of technologies based on artificial intelligence," ULB Institutional Repository 2013/341443, ULB -- Universite Libre de Bruxelles.
    • Handle: RePEc:ulb:ulbeco:2013/341443
    Note: Sponsorship: European Commission ; LC-01136848
    as

    Download full text from publisher

    File URL: https://dipot.ulb.ac.be/dspace/bitstream/2013/341443/3/ipsos_icite_ict_ai_2020.pdf
    File Function: Full text for the whole work, or for a work part
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia S. Foster & Nikolas Zolas, 2023. "AI Adoption in America: Who, What, and Where," NBER Working Papers 31788, National Bureau of Economic Research, Inc.
    2. Stan Metcalfe, 2024. "Joseph Schumpeter, Alfred Marshall and the nature of restless capitalism," MIOIR Working Paper Series 2024-02, The Manchester Institute of Innovation Research (MIoIR), The University of Manchester.
    3. Silvia Massini & Mabel Sanchez Barrioluengo & Xiaoxiao Yu & Reza Salehnejad, 2024. "Digital transformation in firms: determinants of technology adoption and implications for performance," MIOIR Working Paper Series 2024-01, The Manchester Institute of Innovation Research (MIoIR), The University of Manchester.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ulb:ulbeco:2013/341443. 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: Benoit Pauwels (email available below). General contact details of provider: https://edirc.repec.org/data/ecsulbe.html .

    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.