Performance Assessment of Tennis Players: Application of DEA

Chitnis, Asmita; Vaidya, Omkarprasad S.

doi:10.1016/j.sbspro.2014.04.171

Cited by 10 publications

(8 citation statements)

References 17 publications

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“…The DEA method also enables the identification of the causes of inefficiency at certain DMUs (Kulikova and Goshunova, 2014), enabling managers to identify just which DMUs should be the target of their attentions with the introduction of change then able to boost the overall efficiency of the organisation. Despite the limitations identified to the DEA approach, the literature does indicate this method as one of the best means of carrying out this type of analysis (Chitnis and Vaidya, 2014; Guzmán, 2006; Kao, 2014; Kulikova and Goshunova, 2013; Liu et al , 2015).…”

Section: Methodsmentioning

confidence: 99%

Interactions between financial efficiency and sports performance

Miragaia

Ferreira

Carvalho

et al. 2019

JEPP

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Purpose In the current economic climate, the huge rise in the levels of debt incurred by professional football clubs challenges the need to improve their efficiency levels. Hence, analysis of their productivity is essential and represents an integral dimension to any realistic and efficient strategy. Any such strategy includes the identification and analysis of the inputs and outputs that underpin club sustainability. The purpose of this paper is to evaluate the relationship between the team performance of professional European football clubs and the stability of their financial efficiency. Design/methodology/approach The sample spans 15 professional football clubs that won the league titles in the leading football leagues (the English, German, Spanish, Italian and French leagues) in the period between 2009 and 2014. The analysis made recourse to the data envelopment analysis method. Findings The results demonstrate that of the 15 clubs analysed, only 10 proved efficient. Football is now an industry that moves major quantities of financial capital and holds the attentions of large groups of fans worldwide. However, despite this attractiveness, the financial crisis and recession, ongoing since 2008, increasingly requires the better management of such resources. To this end, clubs should improve their control over the financial resources available given the positive relationship prevailing between the sporting performance of clubs and their levels of financial efficiency. Originality/value Analysis of the efficiency levels of the inputs and outputs encapsulating performance related financial variables may aid in improving the standards of planning and sustainable management at professional sport clubs.

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Section: Methodsmentioning

confidence: 99%

Interactions between financial efficiency and sports performance

Miragaia

Ferreira

Carvalho

et al. 2019

JEPP

View full text Add to dashboard Cite

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“…They found that there were statistically significant differences between the deterministic model and the stochastic model [22]. Chitnis and Vaidya [14] evaluated the performance of tennis players. In the study, they performed an activity analysis of 40 different tennis players with a holistic multidimensional approach and showed that 22 players were fully efficient and 18 were not fully efficient [14].…”

Section: Litreture Reviewmentioning

confidence: 99%

“…Chitnis and Vaidya [14] evaluated the performance of tennis players. In the study, they performed an activity analysis of 40 different tennis players with a holistic multidimensional approach and showed that 22 players were fully efficient and 18 were not fully efficient [14]. In another study, Olesen and Petersen [38] examined DEA and its extensions [38].…”

Section: Litreture Reviewmentioning

confidence: 99%

Analyzing the efficiency of bank branchesvianovel weighted stochastic imprecise data envelopment analysis

Aydın

Yurdakul

2021

RAIRO-Oper. Res.

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As of 21 th century, the terms of efficiency and productivity have become notions which dwells on both business and academic world more frequently compared to past. It is known that it is hard to increase the efficiency and productivity of both production and service systems. In this study, the efficiency analysis of the branches of a bank was conducted. Furthermore, a Weighted Stochastic Imprecise Data Envelopment Analysis (WSIDEA), which is a new approach developed based on Data Envelopment Analysis (DEA), was proposed. Efficiency levels and results of decision-making units were examined according to the proposed new method. Additionally, six different DEA model results are obtained. The results of the six different DEA model and the proposed "WSIDEA" model were compared in terms of efficiency level of decision-making units, and the differences between them were examined. Sensitivity of the inefficient units were also examined. On the other hand, unrealistic efficiency levels created by traditional methods for branches were also analyzed. Apart from all these sensitivity analyses, the sensitivity of the data set used in the analysis is scrutinized.

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“…Several of the studies listed below have applied data envelopment analysis (hereinafter DEA) to assess sports teams in different sports disciplines. For example, Chitnis and Vaidya (2014) and Ruiz et al (2013) deployed the DEA method and evaluated the performance of professional tennis players in terms of the effectiveness of their game. DEA models have also been used to evaluate baseball players, for example, by Cooper et al (2009), Chen and Johnson (2010).…”

Section: Introductionmentioning

confidence: 99%

Ranking Players by DEA: An analysis of Czech and Danish football

Pelloneová¹,

Tomíček

2022

StS

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Team managers and coaches need to choose the best players. The selection relies mainly on the cost and performance of the entire team. It is a common practice that several key players contribute to the overall results of the football team. The quality of players is one of the crucial features determining the failure or success of a sports team. The present article focuses on measuring player efficiency in the Czech and Danish top football competitions during the 2015/16 to 2019/20 seasons. The presented research aims to identify the most technically efficient players, considering their position on the field. The authors used an input-oriented model of data envelopment analysis and subsequently also cluster analysis to determine the best football players. The following article may be of interest to football club managers, football analysts, economists and others interested in the business of football because it combines two relatively simple methods of measuring the efficiency of football players.

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Performance Assessment of Tennis Players: Application of DEA

Cited by 10 publications

References 17 publications

Interactions between financial efficiency and sports performance

Interactions between financial efficiency and sports performance

Analyzing the efficiency of bank branchesvianovel weighted stochastic imprecise data envelopment analysis

Ranking Players by DEA: An analysis of Czech and Danish football

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