IDEAS home Printed from https://ideas.repec.org/a/mgs/iojome/v2y2022i3p7-15.html
   My bibliography  Save this article

Innovation in Elite Refereeing Through AI Technological Support for DOGSO Decisions

Author

Listed:
  • Cedric Gottschalk

    (FOM University of Applied Science, Herkulesstraße 32, 45127 Essen, Germany)

  • Stefan Tewes

    (FOM University of Applied Science, Herkulesstraße 32, 45127 Essen, Germany)

  • Benjamin Niestroj

    (FOM University of Applied Science, Herkulesstraße 32, 45127 Essen, Germany)

  • Clemens Jäger

    (FOM University of Applied Science, Herkulesstraße 32, 45127 Essen, Germany)

  • Jochen Drees

    (DFB Deutscher Fußball-Bund, Otto-Fleck-Schneise 6, 60528 Frankfurt am Main)

  • Alexander Ernst

    (DFB Deutscher Fußball-Bund, Otto-Fleck-Schneise 6, 60528 Frankfurt am Main)

Abstract

Digitalization is driving social and economic change – in soccer, too. Artificial intelligence will increasingly solve problems and further intertwine the relationship between people and technology. Largely unexplored – but at the same time significant due to economic, psychological and sporting problems – are digital innovations in refereeing. Gottschalk et al. (2020) showed the potential for artificial intelligence and digitalization in refereeing. In a next step the researchers worked with the refereeing department of the German Football Association (DFB) to gain further insights for digitization in elite refereeing. As a result potential was identified for DOGSO decisions. The researchers conducted various interview rounds with elite referees of the German Football Association to identify all factors of human assessment influencing DOGSO decisions. The objective was to define a criteria system which can be evaluated by technology. As a result, more than 40 factors determining DOGSO decisions have been identified.

Suggested Citation

  • Cedric Gottschalk & Stefan Tewes & Benjamin Niestroj & Clemens Jäger & Jochen Drees & Alexander Ernst, 2022. "Innovation in Elite Refereeing Through AI Technological Support for DOGSO Decisions," International Journal of Operations Management, Inovatus Services Ltd., vol. 2(3), pages 7-15, April.
  • Handle: RePEc:mgs:iojome:v:2:y:2022:i:3:p:7-15
    DOI: 10.18775/ijom.2757-0509.2020.23.4001
    as

    Download full text from publisher

    File URL: https://researchleap.com/wp-content/uploads/2022/07/01_Innovation-in-Elite-Refereeing-Through-AI-Technological-Support-for-DOGSO-Decisions.pdf
    Download Restriction: no

    File URL: https://researchleap.com/innovation-in-elite-refereeing-through-ai-technological-support-for-dogso-decisions/
    Download Restriction: no

    File URL: https://libkey.io/10.18775/ijom.2757-0509.2020.23.4001?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
    ---><---

    References listed on IDEAS

    as
    1. Cedric Gottschalk & Stefan Tewes & Benjamin Niestroj, 2020. "The Innovation of Refereeing in Football Through AI," International Journal of Innovation and Economic Development, Inovatus Services Ltd., vol. 6(2), pages 35-54, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Keywords

      Artificial intelligence; Digital transformation; Referee decision; Football; Decision-making; Trend Research;
      All these keywords.

      JEL classification:

      • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General

      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:mgs:iojome:v:2:y:2022:i:3:p:7-15. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Bojan Obrenovic (email available below). General contact details of provider: https://researchleap.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.