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Efficiency and projection of categorical DMUs: a frontier analysis approach

G.N. Patel (Department of Decision Science, Birla Institute of Management Technology, Greater Noida, India)
Smriti Pande (Centre for Retail, Birla Institute of Management Technology, Greater Noida, India)

Competitiveness Review

ISSN: 1059-5422

Article publication date: 26 July 2013

289

Abstract

Purpose

The purpose of this paper is to evaluate the performance of 46 pharmacy retail stores and to analyze the impact of non‐discretionary variables on the efficiency of the stores through dividing the decision making units (DMUs) into different categories.

Design/methodology/approach

Basic CCR model is being used to evaluate the efficiency of each store. First, the DMUs are divided into three different categories namely severe, normal and advantageous depending upon the extent of competition that they are facing. Second, basic CCR, Phases I and II models are applied to evaluate efficiency, reference set and projections of DMUs within the categories. Lastly, all DMUs are evaluated together using the same models.

Findings

For situations that are not under the direct control of the management, DEA with categorical DMUs is an appropriate approach for efficiency evaluation because through this approach one can do justice to each store which is a part of the study.

Research limitations/implications

Inclusion of people factor such as customer satisfaction or employee satisfaction can lead to a better analysis and therefore, to a better practical approach.

Originality/value

This study provides a framework for performance evaluation when both discretionary and non‐discretionary variables are to be taken into consideration.

Keywords

Citation

Patel, G.N. and Pande, S. (2013), "Efficiency and projection of categorical DMUs: a frontier analysis approach", Competitiveness Review, Vol. 23 No. 4/5, pp. 408-425. https://doi.org/10.1108/CR-04-2013-0041

Publisher

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Emerald Group Publishing Limited

Copyright © 2013, Emerald Group Publishing Limited

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