Assessment of performance using MPSS based DEA

Abstract

Purpose

Identification of the best school among other competitors is done using a new technique called most productive scale size based data envelopment analysis (DEA). The paper aims to discuss this issue.

Design/methodology/approach

A non-central principal component analysis is used here to create a new plane according to the constant return to scale. This plane contains only ultimate performers.

Findings

The new method has a complete discord with the results of CCR DEA. However, after incorporating the ultimate performers in the original data set this difference was eliminated.

Practical implications

The proposed frontier provides a way to identify those DMUs which follow cost strategy proposed by Porter.

Originality/value

A case study of six schools is incorporated here to identify the superior school and also to visualize gaps in their performances.

Citation

Sarkar, S. (2015), "Assessment of performance using MPSS based DEA", Benchmarking: An International Journal, Vol. 22 No. 4, pp. 624-642. https://doi.org/10.1108/BIJ-02-2014-0012