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Multicomponent Efficiency Measurement in Banking

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Data Envelopment Analysis

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 208))

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Abstract

There is a growing need to view performance in organizations in a more disaggregated sense, paying specific attention to different components of the operation. In this chapter we present models for deriving aggregate measures of bank-branch performance, with accompanying component measures that make up that aggregate value. The technical difficulty surrounding the development of an appropriate model is the presence of shared resources on the input side and mechanisms for allocating such resources to the individual components. The chapter presents both a conventional radial model as well as an additive model for handling multiple components in an organization. The models are applied to data for a set of bank branches.

This chapter is based upon Cook et al. 2000, with permission from Kluwer Academic Publishers, and Cook and Hababou (2001), with permissions from Elsevier Science

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Notes

  1. 1.

    In the context of the VRS structure, we let μ 1 o , μ 2 o denote service and sales variables, respectively.

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Correspondence to Wade D. Cook .

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Cook, W.D., Hababou, M., Tuenter, H. (2014). Multicomponent Efficiency Measurement in Banking. In: Cook, W., Zhu, J. (eds) Data Envelopment Analysis. International Series in Operations Research & Management Science, vol 208. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-8068-7_16

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