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Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 213))

Abstract

Adding or deleting an inefficient DMU or a set of inefficient DMUs does not alter the efficiencies of the existing DMUs and the best-practice frontier. The inefficiency scores change only if the best-practice frontier is altered. i.e., the performance of DMUs depends only on the identified best-practice frontier. In contrast, researchers of the consumer choice theory point out that consumer choice is often influenced by the context. e.g., a circle appears large when surrounded by small circles and small when surrounded by larger ones. Similarly a product may appear attractive against a background of less attractive alternatives and unattractive when compared to more attractive alternatives.

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References

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Correspondence to Joe Zhu .

9.1 Electronic Supplementary Material

The online version of this chapter (doi:10.1007/978-3-319-06647-9_9) contains supplementary material, which is available to authorized users.

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Zhu, J. (2014). Context-dependent Data Envelopment Analysis. In: Quantitative Models for Performance Evaluation and Benchmarking. International Series in Operations Research & Management Science, vol 213. Springer, Cham. https://doi.org/10.1007/978-3-319-06647-9_9

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