基于懒散的世界杯球队DEA分析

F. Gökgöz, Engin Yalçın
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引用次数: 5

摘要

目的通过基于松弛度的数据包络分析(DEA)方法对世界杯球队的效率水平进行评估,填补足球绩效测量的重要空白。本研究的重点是对过去两届世界杯的比较分析。作者最初通过基于松弛的DEA方法来估计世界杯球队的效率,这是一种新的运动表现测量方法。作者还提出了传统的DEA结果来比较结果。作者还纳入了改善比率,这为效率低下的国家提高效率提供了重要的细节。此外,作者还包括效力评级,以呈现世界杯球队的完整表现概述。根据基于松弛的DEA方法的分析结果,2014年和2018年世界杯的冠军德国队和法国队分别是高效的球队。此外,比利时和俄罗斯在2018年世界杯上的效率提升幅度最大。本文提出了一种新的运动绩效测量方法——基于懒散的DEA方法,该方法与团队的实际绩效有显著的重叠。原创性/价值本研究采用基于松弛的DEA和不期望输出模型对世界杯球队的表现进行测量,以呈现足球表现的新颖性。这一实证分析将是利用基于懒散的DEA方法来衡量足球队绩效的开创性研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A slack-based DEA analysis for the world cup teams
Purpose This paper aims to assess the efficiency levels of World Cup teams via the slack-based data envelopment analysis (DEA) approach, which contributes to filling an important gap for performance measurement in football. Design/methodology/approach This study focuses on a comparative analysis of the past two World Cups. The authors initially estimate the efficiency of the World Cup teams via the slack-based DEA approach, which is a novel approach for sports performance measurement. The authors also present the conventional DEA results to compare results. The authors also include improvement ratios, which provide significant details for inefficient countries to enhance their efficiency. Besides, the authors include effectiveness ratings to present a complete performance overview of the World Cup teams. Findings According to the analysis results of the slack-based DEA approach, titleholder Germany and France are found as efficient teams in the 2014 and 2018 World Cup, respectively. Besides, Belgium and Russia recorded the highest efficiency improvement in the 2018 World Cup. The novel approach for sports performance measurement, the slack-based DEA approach, significantly overlaps with the actual performance of teams. Originality/value This study presents novelty in football performance by adopting the slack-based DEA with an undesirable output model for the performance measurement of the World Cup teams. This empirical analysis would be a pioneer study measuring the performance of football teams via the slack-based DEA approach.
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