In this contribution, first the concept of returns to growth (RTG) of a high-tech firm facing hyper-competition in the new economy is introduced by describing a proportional relationship between growth in inputs and growth in outputs using the growth efficiency (GE) model of Sengupta (2002)....

The measure proposed in this paper is a new nonparametric data envelopment analysis (DEA) scheme, the hybrid measure, for determining efficiency in the presence of radial and nonradial inputs or outputs. Further extension of the scheme occurred to address nonseparable desirable and undesirable...

This paper covers some of the past accomplishments of DEA and its future prospects. It starts with the engineering-science definitions of efficiency and uses the duality theory of linear programming to show how, in DEA, they can be related to the Pareto-Koopmens definitions used in welfare...

General Discussion -- The Basic CCR Model -- The CCR Model and Production Correspondence -- Alternative DEA Models -- Returns to Scale -- Models with Restricted Multipliers -- Discretionary, Non-discretionary and Categorical Variables -- Allocation Models -- Data Variations.

Designed to provide a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. This volume reviews the basic principles taught in the authors' successful textbook, "Data Envelopment Analysis." This package includes the book in a CD-ROM...

"Data Envelopment Analysis (DEA) has grown has grown into a powerful quantitative, analytical tool for measuring and evaluating performance. It has been successfully applied to a host of different entities engaged in a wide variety of activities in many complex, multi-layered contexts worldwide....

It has been pointed out that DEA scores may be influenced by several external environmental factors, which are uncontrollable for DMUs. It implies that the DEA efficiency score without data adjustment might be biased and impractical for measuring genuine management efficiency. Therefore it is...

In data envelopment analysis, there are several methods for measuring efficiency change over time, e.g. the window analysis and the Malmquist index. However, they usually neglect carry-over activities between consecutive two terms. These carry-overs play an important role in measuring the...

This study introduces a new scheme of data envelopment analysis (DEA) named cost gradient measure (CGM) to evaluate technical efficiency. In this model, we can obtain more cost conscious technical efficiency than those by other traditional DEA models such as CCR[7] and slacks-based measure (SBM)...