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 (Simonson and Tversky, 1992).
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© 2003 Springer Science+Business Media New York
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Zhu, J. (2003). Context-dependent Data Envelopment Analysis. In: Quantitative Models for Performance Evaluation and Benchmarking. International Series in Operations Research & Management Science, vol 51. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-4246-6_6
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DOI: https://doi.org/10.1007/978-1-4757-4246-6_6
Publisher Name: Springer, Boston, MA
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