Data Envelopment Analysis (DEA) and cross-efficiency evaluation are shown as support tools for sports team management in the context of a study of assessment of the individual game performance of handball players of the Spanish premier league. A sample of 66 players that play as backs in their teams is evaluated from the perspective of their offensive game. DEA yields a measure of the overall p...

  Because of the piecewise linear nature of the data envelopment analysis (DEA) frontier, the optimal multipliers of the DEA models may not be unique. Choosing weights from alternative optimal solutions of dual multiplier models is one of the most frequently studied subjects in the context of DEA. In this paper, the authors have been inspired by the idea of Cooper et al. (2011) to propose a li...

This article assesses the game performance of the teams participating in the Men's World Championship of Handball of 2011 by using Data Envelopment Analysis (DEA) and the cross-efficiency evaluation. DEA uses Linear Programming to yield a measure of the overall performance of the game of particular teams, and allows us to identify relative strengths and weaknesses by means of benchmarking analy...

The current paper examines the cross-efficiency concept in data envelopment analysis (DEA). While cross-efficiency has appeal as a peer evaluation approach, it is often the subject of criticism, due mainly to the use of DEA weights that are often non-unique. As a result, cross-efficiency scores are routinely viewed as arbitrary in that they depend on a particular set of optimal DEA weights gene...

performance   evaluation in regular periods is one of the ways in which organizations can   evaluate their performance as well as weak and strong points unifiedly and   precisely. these days, mathematical models are also used to evaluate the   efficiency and productivity of various units. these units are a collection of   education, research and service activities as input and output factors an...

the performance of a supply chain can be evaluated in either a cross-sectional or a time series manner, and data envelopment analysis is a useful method for both types of evaluation. in this paper we develop an index and indicator of productivity change that can be used with radial and non-radial models for supply chain malmquist index. the supply chain malmquist productivity index (scmpi) can ...

This paper develops a test for Pareto-elliciency in the local public sector using the analytical result that aggregate property value is maximized at the public output level which satisfies the Samuelson condition for efficiency. By using cross-section data, it is possible to deduce whether a representative community provides its public goods in a property-value-maximizing (and hence efficient)...

background and purpose: the problematic reduction of civic engagement in local communities of khuzestan province in the southwest of iran has became a serious issue for research in social planning and policy making. efforts have been made to study the risk factors as the deterrents to engaging in the society. methods: this study aims to investigate the factors influencing civic engagement among...

It is well known that a traditional data envelopment analysis (DEA) cross-efficiency evaluation model assumes the decision-makers are completely rational, which causes results to be inconsistent with actual situation. To remedy this, in this paper, we propose an improved DEA prospect method called EPCE model. The captures risk attitude of and retains decision information process. In particular,...