IDEAS home Printed from https://ideas.repec.org/a/igg/jsds00/v5y2014i3p87-98.html
   My bibliography  Save this article

Exploring the Determinants of Success among Ladies Golfers by DEA-SBM Model

Author

Listed:
  • Wan-Chun Hsiung

    (Department of Sport and Health Management, DaYeh University, Changhua, Taiwan)

  • Pi-Heng Chung

    (Department of Hospitality Management, De Lin Institute of Technology, New Taipei City, Taiwan)

Abstract

Different from previous studies focusing on the skill performance in professional golf, this study utilize the non-oriented SBM model of DEA to evaluate the performance of the Ladies Professional Golf Association Tournament players. DEA is used to assess the overall efficiencies, as well as to conduct slack variable analysis of players' performance in 2008 based on the LPGA official web statistical data. In this study, four inputs (including Average Non-green Shots, Putts Per GIR, Sand Saves, and Average Driving Distance) and two outputs (Scoring Average and Official Money Ranking) are selected as the performance index of LPGA players. The results confirm that the most efficient players are not necessarily the top players on the list of official money ranking but also the lower positions. Inefficient players could advance their games varied by skills in lowering the strokes and raising their earnings as improving range suggested. Skill competencies of professional golf players seemed to be weighted differently and players shall choose the right direction for improvement to advance their career earning efficiently on the tours.

Suggested Citation

  • Wan-Chun Hsiung & Pi-Heng Chung, 2014. "Exploring the Determinants of Success among Ladies Golfers by DEA-SBM Model," International Journal of Strategic Decision Sciences (IJSDS), IGI Global, vol. 5(3), pages 87-98, July.
    • Handle: RePEc:igg:jsds00:v:5:y:2014:i:3:p:87-98
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsds.2014070105
    Download Restriction: no
    ---><---

    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:igg:jsds00:v:5:y:2014:i:3:p:87-98. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.