Purpose A cost-oriented data envelopment analysis (DEA) is a non-parametric tool for discriminating the best performers from a number of homogenous decision-making units (DMU) using allocative efficiency, technical efficiency and a cost-based efficiency score. Cost of each resource has been an...

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...

Purpose The purpose of this paper is to provide an insight into distinguish cost leaders from the architects of diversification (Porter, 1985) using a non-central principal component analysis (PCA)-based approach. The central theme of this paper is based on the assumption that the operational...

Purpose – The purpose of this paper is to identify important dimensions which are essential to remain competitive. To generate scores which will be as effective as the original outputs to determine the radial efficiency scores etc. Design/methodology/approach – A non-central principal...

Purpose: The purpose of this paper is to express the strategic positioning of a firm among its rivals based on an overall analysis. The proposed model uses data envelopment analysis (DEA) to determine the indexes due to cost leadership and differentiation. The model can be useful to identify...