Lera López, Fernando

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https://academica-e.unavarra.es/handle/2454/49398

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Lera López

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Fernando

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Economía

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INARBE. Institute for Advanced Research in Business and Economics

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0000-0002-9230-9405

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88511

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1903

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Author: Zambom Ferraresi, Fabíola × Subject: Benchmarking ×

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    PublicationOpen Access
    Efficiency in European football teams using WindowDEA: analysis and evolution
    (Emerald, 2018) García Cebrián, Lucía Isabel; Zambom Ferraresi, Fabíola; Lera López, Fernando; Economía; Ekonomia; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
    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-statistic. 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.