Journal ArticleDOI
Two-Stage DEA: An Application to Major League Baseball
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.read more
Citations
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Journal ArticleDOI
Avoiding Large Differences in Weights in Cross-Efficiency Evaluations: Application to the Ranking of Basketball Players
TL;DR: In this paper, the authors proposed an extension of the multiplier bound approach based on model decision-making units (DMUs) to prevent unrealistic weighting schemes in cross-efficiency evaluations.
Journal ArticleDOI
Integrating multi-stage data envelopment analysis and a fuzzy analytical hierarchical process to evaluate the efficiency of major global liner shipping companies
TL;DR: Taking advantage of the proposed model and algorithm, LSCs can effectively locate bottlenecks in their production processes and further improve them by adjusting the values of the corresponding input and output variables.
Journal ArticleDOI
Does intellectual capital matter? assessing the performance of CPA firms based on additive efficiency decomposition DEA
TL;DR: This study analyzed the "Cost efficiency" and "Revenue efficiency" of 207 certified public accountant firms in Taiwan by using the additive efficiency decomposition DEA approach and found that IC played an important role in performance representation both in cost efficiency and revenue efficiency.
Journal ArticleDOI
Free disposal hull efficiency scores of units with network structures
TL;DR: This paper is the first systematic attempt to extend the network DEA models to a class of non-convex technologies, i.e., Free Disposal Hull (FDH), and it is proved that the provided models project the inefficient DMUs onto the efficient frontier.
Journal ArticleDOI
Sustainably resilient supply chains evaluation in public transport: A fuzzy chance-constrained two-stage DEA approach
TL;DR: In this paper, a fuzzy chance-constrained two-stage data envelopment analysis (DEA) model is proposed to evaluate the sustainability and resilience of sustainable supply chains.
References
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Journal ArticleDOI
Productivity and intermediate products: a frontier approach
Rolf Färe,Shawna Grosskopf +1 more
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
Rolf Färe,Shawna Grosskopf +1 more
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
Rolf Färe,Gerald Whittaker +1 more
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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