Data Envelopment Analysis: An Application to Turkish Banking Industry
Abstract
DEA is a non-parametric technique and scope of DEA is to determine the efficiency of decision-making units (DMUs). It divides the DMUs into two group named as efficient and inefficient, then derives a piecewise linear frontier with pareto-efficient DMUs and gives an efficiency score of 1(one) to each of them. However, the DMUs below the frontier gets an efficiency score less than 1 (one). Their efficiency score is determined by the distance between the frontier and the coordinates of each of the inefficient DMUs. Furthermore, DEA also determines the source and the amount of inefficiency so that DEA becomes indispensable for decision-makers, named as boss, manager director, owner or others. In this paper, despite of the classical usage, a new area for DEA would be introduced and a new definition would be made for decision-maker. In our work decision-maker is customer.
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Bal, H.; Gölcükcü, A. Data Envelopment Analysis: An Application to Turkish Banking Industry. Math. Comput. Appl. 2002, 7, 65-72. https://doi.org/10.3390/mca7010065
Bal H, Gölcükcü A. Data Envelopment Analysis: An Application to Turkish Banking Industry. Mathematical and Computational Applications. 2002; 7(1):65-72. https://doi.org/10.3390/mca7010065
Chicago/Turabian StyleBal, Hasan, and Ayhan Gölcükcü. 2002. "Data Envelopment Analysis: An Application to Turkish Banking Industry" Mathematical and Computational Applications 7, no. 1: 65-72. https://doi.org/10.3390/mca7010065