This paper considers the problem of interval scale data in the most widely used models of Data Envelopment Analysis (DEA), the CCR and BCC models. Radial models require inputs and outputs measured on the ratio scale. Our focus is on how to deal with interval scale variables especially when the interval scale variable is a difference of two ratio scale variables like profit or the decrease/incre...

We present and demonstrate a multi-criteria approach for evaluating R&D projects in different stages of their life cycle. Our approach integrates the balanced scorecard (BSC) and data envelopment analysis (DEA) and develops an extended DEA model. The input and output measures for the integrated DEA–BSC model are grouped in “cards” which are associated with a “BSC for R&D projects”. The BSC is e...

This paper concentrates on methods for comparing activity units found relatively efficient by data envelopment analysis (DEA). The use of the basic DEA models does not provide direct information regarding the performance of such units. The paper provides a systematic framework of alternative ways for ranking DEA-efficient units. The framework contains criteria derived as by-products of the basi...

in this study, mazandaran water and wastewater company’ performance is evaluated by using an input-oriented data envelopment analysis. as a principle, the performance of each organizational unit or organization should be measured as far as possible and what cannot be evaluated cannot be well governed. one method of evaluating the performance of units is data envelopment analysis method. one of ...

(2011). " Formative evaluation of electricity distribution utilities using Data Envelopment Analysis ". Abstract — The use of Data Envelopment Analysis (DEA) in the electricity distribution sector has been prolific in the number of papers published in research journals. However, while numerous studies have been documented, they have mostly been summative. Their aim has been predominantly descri...

Purpose The main objective of the paper is to develop an investment model using data envelopment analysis (DEA) that provides a decision-making framework allocate resources efficiently, such relative efficiency improved within available budget. Design/methodology/approach Firstly, DEA models are used evaluate departments their peers and providing benchmarks for less efficient departments. Secon...

In this paper, Data Envelopment Analysis (DEA) and super efficient DEA (SE-DEA) are employed to measure the efficiency of Chinese commercial banks. Incorporating Tobit regression analysis, the determinants of banking efficiency are investigated based on Panel data. Overall, the DEA results show relatively low average efficiency levels and state-owned banks are more inefficient than that of join...