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首页> 外文期刊>The International Journal of Productivity and performance management >Efficiency in European football teams using WindowDEA: analysis and evolution
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Efficiency in European football teams using WindowDEA: analysis and evolution

机译：使用WindowDEA在欧洲足球队中的效率：分析和演变

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摘要

Purpose - The purpose of this paper is to analyze efficiency and its evolution in teams that played in the UEFA Champions League during nine seasons. The aim is to present a research procedure for determining the most accurate data envelopment analysis to estimate and compare the efficiency. Design/methodology/approach - First, the authors analyzed the existence of a temporal trend using the S-stan'stic. The authors calculated the Kruskal-Wallis statistic to verify if there is stability in relative ranks. The results of the aforementioned tests have indicated that window analysis is an accurate methodology to apply to the sample. The authors analyzed 94 clubs with a sample of 288 observations, obtaining 768 efficiency ratios. They have been calculated using super-efficiency which enables to discriminate efficient units. Findings - Results indicate that there is a low efficiency level in the nine seasons observed. There is a strong correlation between sports results and the efficiency of semifinalists. The authors conclude that improvement in a club's efficiency could enhance its sports results. Finally, as practical implications, the authors highlight benchmark teams and alternative sports tactics to help clubs become more efficient and achieve better sports results. Originality/value - This paper contributes to sports efficiency literature by presenting a research procedure to identify the most accurate methodology to be applied to panel data. To the best of the authors' knowledge, this paper is the first empirical study on international football competitions applying WindowDEA to incomplete panel data.
机译：目的-本文的目的是分析九个赛季在欧洲冠军联赛中效力的球队的效率及其演变。目的是提出一种确定最准确的数据包络分析以估计和比较效率的研究程序。设计/方法/方法-首先，作者使用S-stan'stic分析了时间趋势的存在。作者计算了Kruskal-Wallis统计量，以验证相对等级是否存在稳定性。前述测试的结果表明，窗口分析是应用于样品的准确方法。作者通过对288个观测值的样本对94个俱乐部进行了分析，得出768个效率比。它们是使用超效率计算的，可以区分有效单位。调查结果-结果表明，在观察到的九个季节中效率较低。运动成绩与准决赛者的效率之间存在很强的相关性。作者得出结论，提高俱乐部的效率可以增强其运动成绩。最后，作为实际意义，作者重点介绍了基准球队和其他体育战术，以帮助俱乐部提高效率并取得更好的体育成绩。原创性/价值-本文通过提出一种研究程序来确定可应用于面板数据的最准确方法，从而为体育效率文献做出了贡献。据作者所知，本文是将WindowDEA应用于不完整面板数据的国际足球比赛的第一项实证研究。

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