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Journal ArticleDOI

Two-Stage DEA: An Application to Major League Baseball

Thomas R. Sexton, +1 more
- 01 Apr 2003 - 
- Vol. 19, Iss: 2, pp 227-249
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TLDR
In this article, the authors use DEA to model DMUs that produce in two stages, with output from the first stage becoming input to the second stage, and apply the model to Major League Baseball, demonstrating its advantages over a standard DEA model.
Abstract
We show how to use DEA to model DMUs that produce in two stages, with output from the first stage becoming input to the second stage. Our model allows for any orientation or scale assumption. We apply the model to Major League Baseball, demonstrating its advantages over a standard DEA model. Our model detects inefficiencies that standard DEA models miss, and it can allow for resource consumption that the standard DEA model counts towards inefficiency. Additionally, our model distinguishes inefficiency in the first stage from that in the second stage, allowing managers to target inefficient stages of the production process.

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Citations
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Measuring the performance of two-stage production systemswith shared inputs by data envelopment analysis.

TL;DR: In this paper, a relational DEA model was proposed to evaluate the overall efficiency of two-stage production systems with shared inputs, and the proposed model not only evaluated the efficiency of the whole process, but also provided the efficiency for each of the two sub-processes.
Journal ArticleDOI

Toward e-participation: Measuring and explaining performance

TL;DR: In this article , the authors examine the variation in the implementation of e-participation across countries, and how selected attributes of these countries can explain such variation, as well as the determinants of efficiency at each stage of conversion.
Journal ArticleDOI

The NDEA–MOP Model in the Presence of Negative Data Using Fuzzy Method

TL;DR: In this article, the multi-objective programming (MOP) method was used to solve network DEA (NDEA) models with assumption that, negative data is considered for the proposed NDEA model which consists of semi-negative and semi-positive input and output.
Posted ContentDOI

Dual frontiers data envelopment analysis: multiple ranking approaches from optimistic and pessimistic perspectives

TL;DR: This thesis focuses on the development of the conventional DEA model, and an attempt has been made to study models that are considered as improved models, or approaches that bring a better ranking field, that may bring more accurate evaluation than the original DEA.
Peer ReviewDOI

Toward e-participation: Measuring and explaining performance

TL;DR: In this paper , the authors examined the variation in the implementation of e-participation across countries, and how selected attributes of these countries can explain such variation, and compared the efficiency of countries in the two stages of conversion: technology infrastructure into online services, and the latter into eparticipation.
References
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Journal ArticleDOI

Productivity and intermediate products: a frontier approach

TL;DR: In this paper, a non-parametric productivity measure that explicitly incorporates intermediate products is proposed, which is based on the Productivity Index (PII) and employs a nonparametric approach to measure productivity.
Journal ArticleDOI

Incorporating the Operating Environment Into a Nonparametric Measure of Technical Efficiency

TL;DR: A nonparametric, linear programming, frontier procedure for obtaining a measure of managerial efficiency that controls for exogenous features of the operating environment is introduced.
Posted Content

Productivity and Intermediate Products: A Frontier Approach

TL;DR: In this article, the authors introduce a frontier model for productivity measurement that explicitly recognizes that some inputs are produced and consumed within the production technology, where intermediate inputs may also be final output.
Journal ArticleDOI

An intermediate input model of dairy production using complex survey data

TL;DR: It is found that the decomposition of production into subproduction processes reduces the dimensions of problem specification, with the effect that a larger number of variables may be usefully included in the model.
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