IDEAS home Printed from https://ideas.repec.org/a/aci/journl/y2020id626.html
   My bibliography  Save this article

Minimax Model And Ball-Rating Approach For Remuneration Of Employees The Sports Sections Of University

Author

Listed:
  • I. Yu. Vygodchikova

Abstract

In article offers solution of problem the improving of quality the management in field of sports services of university. Point-rating system and minimax optimization model are used to assess the level of staff performance in two main divisions: experienced qualified employees and young developing employees. On average, the amount of remuneration for coaches of the first (higher) level of qualification will be higher than for coaches of the second (lower) level, since employees of the highest level will receive an additional point for experience and qualifications. For coaches of the second level, maximum diligence and absence of errors in work are necessary, which will significantly increase level of remuneration. The introduction of such system of remuneration for employees of sports sections of universities will encourage coaches to increase their professional status and improve their skills.

Suggested Citation

  • I. Yu. Vygodchikova, 2020. "Minimax Model And Ball-Rating Approach For Remuneration Of Employees The Sports Sections Of University," Business Strategies, Real Economy Publishing House, vol. 8(4).
  • Handle: RePEc:aci:journl:y:2020:id:626
    DOI: 10.17747/2311-7184-2020-4-91-93
    as

    Download full text from publisher

    File URL: https://www.strategybusiness.ru/jour/article/viewFile/626/530
    Download Restriction: no

    File URL: https://libkey.io/10.17747/2311-7184-2020-4-91-93?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
    ---><---

    More about this item

    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:aci:journl:y:2020:id:626. 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: Кузнецов Ð Ð»ÐµÐºÑ ÐµÐ¹ Риколаевич (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.