• Summary
  • Contents
  • Subject index

A must-have reference resource for qualitative management researchers, this dictionary contains over 90 entries covering the fundamentals of qualitative methodologies; covering both analysis and implementation. Each entry gives an introduction to the topic, lists the key relevant features, gives a worked example, a concise summary and a selection of further reading suggestions. It is suitable for researchers and academics who need a handy and quick point of reference.

Data Envelopment Analysis in Management: Theory, Methods and Applications
Data envelopment analysis in management: Theory, methods and applications
Introduction

The mathematical measurement of performance expressed as an efficiency computation based on the underlying relationship between inputs and outputs, often described as productivity, is increasingly computed by the application of data envelopment analysis (DEA). Its early-day origins came from the necessity to develop a measurement tool for application in not-for-profit driven organizations which have less tangible business outcomes.

Key Features

Total factor productivity, which considers all inputs and outputs, presents a ratio which allows an investigation of a multitude combination of these factors, as viewed from the vantages of often bounded external constraints, with the objective of entity optimization. There are a number of strengths in mathematically based models such ...

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