Analyzing Efficiency Managerial Performance
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Analyzing Efficiency & Managerial Performance
This study was initially the author’s Ph.D dissertation written at the University of Texas at Austin in 1995 entitled “A New Approach to Sensitivity Analysis of the DEA Models and their Applications to Ranking and Productivity Growth.” An updated preface and a general index were added for this book which was originally published in 1996. The primary objective of this study is to demonstrate a new method available to management scientists for evaluating the organizational efficiency performance and analyzing how stable the evaluations are to the sample data collections.
Productivity and Efficiency Analysis
This book provides a coherent description of the main concepts and statistical methods used to analyse economic performance. The focus is on measures of performance that are of practical relevance to policy makers. Most, if not all, of these measures can be viewed as measures of productivity and/or efficiency. Linking fields as diverse as index number theory, data envelopment analysis and stochastic frontier analysis, the book explains how to compute measures of input and output quantity change that are consistent with measurement theory. It then discusses ways in which meaningful measures of productivity change can be decomposed into measures of technical progress, environmental change, and different types of efficiency change. The book is aimed at graduate students, researchers, statisticians, accountants and economists working in universities, regulatory authorities, government departments and private firms. The book contains many numerical examples. Computer codes and datasets are available on a companion website.
Service Productivity Management
Author: H. David Sherman
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-09-10
Service Productivity Management is an in-depth guide to using the most powerful available benchmarking technique to improve service organization performance - Data Envelopment Analysis (DEA). (1) It outlines the use of DEA as a benchmarking technique. (2) It identifies high costs service units. (3) It isolates specific changes to each service unit to elevate their performance to the best practice services level providing high quality service at low cost. (4) And most important, it guides the improvement process. The discussion and methods are all supported by case-study applications to organizations that have sought and have successfully improved its performance. The techniques discussed in the book are accessible to any and all managers with access to Microsoft® Excel spreadsheet software (Excel).