IDEAS home Printed from https://ideas.repec.org/a/ags/apstra/339878.html
   My bibliography  Save this article

Artificial intelligence in the corporate sector

Author

Listed:
  • Balla, János
  • Králik, Lóránd-István

Abstract

Humanity has made huge progress over the past millennia. We are working with technologies, robots that not only help us to work accurately, efficiently and quickly, but they work in a similar way to the human brain: they perceive, think, learn and solve problems. In my research, I will focus on artificial intelligence, which is becoming more and more popular nowadays, looking at its past, present and future, its main trends in the corporate sector, and how it threatens people's job opportunities. At the same time, one of my research objectives is to investigate how much the development of a country is related to the uptake of AI in the European Union, which I will test with correlation analysis, taking into account indicators of artificial intelligence penetration in the corporate sector from one side and the various AI indicators such as digital penetration, internet usage, computer culture, and economic indicators as GDP per capita from the other side.

Suggested Citation

  • Balla, János & Králik, Lóránd-István, 2023. "Artificial intelligence in the corporate sector," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 17(1), September.
    • Handle: RePEc:ags:apstra:339878
    DOI: 10.22004/ag.econ.339878
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/339878/files/Balla.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.339878?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:ags:apstra:339878. 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: AgEcon Search (email available below). General contact details of provider: http://www.apstract.net/ .

    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.