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.
In the context of the VRS structure, we let μ 1 o , μ 2 o denote service and sales variables, respectively.
References
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for technical and scale efficiencies in data envelopment analysis. Management Science, 30, 1078–1092.
Beasley, J. E. (1995). Determining teaching and research efficiencies. Journal of the Operational Research Society, 46, 441–452.
Beasley, J. E., & Wong, Y.-H. B. (1990). Restricting weight flexibility in data envelopment analysis. Journal of the Operational Research Society, 41, 829–835.
Charnes, A. & Cooper, W.W. (1962). Programming with linear fractional functionals, Naval Research Logistics Quarterly, 9, 181–186.
Charnes, A., Cooper, W. W., & Rhodes, E. L. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.
Charnes, A., Cooper, W. W., Huang, Z. M., & Sun, D. B. (1990). Polyhedral cone-ratio DEA models with an illustrative application to large commercial banks. Journal of Econometrics, 46, 73–91.
Cook, W. D., & Hababou, M. (2001). Sales performance measurement in bank branches. OMEGA, 29, 299–307.
Cook, W. D., Hababou, M., & Tuenter, H. (2000). Multicomponent efficiency measurement and shared inputs in data envelopment analysis: An application to sales and service performance in bank branches. Journal of Productivity Analysis, 14, 209–224.
Cooper, W., Park, K., & Pastor, J. (1999). RAM: A range adjusted measure of inefficiency for use with additive models, and relations to other models and measures in DEA. Journal of Productivity Analysis, 11, 5–42.
Fare, R., & Grosskopf, S. (1996). Productivity and intermediate products: A frontier approach. Economic Letters, 50, 65–70.
Fare, R., & Lovell, C. A. K. (1978). Measuring the technical efficiency of production. Journal of Economic Theory, 19, 150–162.
Fare, R., & Primont, D. (1984). Efficiency measures for multiplant firms. Operations Research Letters, 3, 257–260.
Oral, M., & Yolalan, R. (1990). An empirical study on measuring operational efficiency and profitability of bank branches. European Journal of Operational Research, 46, 282–294.
Schaffnit, C., Rosen, D., & Paradi, J. C. (1997). Best practice analysis of bank branches: An application of data envelopment analysis in a large Canadian bank. European Journal of Operational Research, 98, 269–289.
Sherman, H. D., & Gold, F. (1985). Bank branch operating efficiency: Evaluation with data envelopment analysis. Journal of Banking and Finance, 9, 297–315.
Sherman, H. D., & Ladino, G. (1995). Managing bank productivity using data envelopment analysis (DEA). Interfaces, 25, 60–73.
Thompson, R. G., Langemeier, L. N., Lee, C. T., Lee, E., & Thrall, R. M. (1990). The role of multiplier bounds in efficiency analysis with application to Kansas farming. Journal of Econometrics, 46, 93–108.
Thrall, R. M. (1996). The lack of invariance of optimal dual solutions under translations. Annals of Operations Research, 66, 103–108.
Zieshang, K. (1984). An extended Farrell efficiency measure. Journal of Economic Theory, 33, 387–396.
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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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