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Technology Commercialization: DEA and Related Analytical Methods for Evaluating the Use and Implementation of Technical Innovation PDF

419 Pages·2002·13.12 MB·English
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TECHNOLOGY COMMERCIALIZATION TECHNOLOGY COMMERCIALIZATION: DEA AND RELATED ANALYTICAL METHODS FOR EVALUATING THE USE AND IMPLEMENTATION OF TECHNICAL INNOVATION Edited by Sten A. Thore, Gregory A. Kozmetsky Centennial Fellow Emeritus, IC2 Institute, The University of Texas, Austin Former Chair in Commercialization ofScience and Technology, Instituto Superior Tecnico, Lisbon Springer Science+Business Media, LLC Library of Congress Cataloging-in-Publication Data Thore, Sten AO. Technology commerciaIization : DEA and related anaIyticaI methods for evaIuating the use and implementation oftechnicaI innovation / Sten A Thore. p.cm. Includes bibligraphicaI references and index. ISBN 978-1-4613-5345-4 ISBN 978-1-4615-1001-7 (eBook) DOI 10.1007/978-1-4615-1001-7 1. TechnologicaI innovations--EvaIuation. 2. TechnologicaI innovations--Management. 3. Data envelopment anaIysis. 1. Title. HC79.T4+ 2002022123 Copyright © 2002 Springer Science+Business Media New York OriginaIly published by Kluwer Academic Publishers in 2002 Softcover reprint of the hardcover 1 st edition 2002 AH rights reserved. No part ofthis work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilm ing, recording, or otherwise, without the written permission from the Publisher, with the exception of any material supplied specificaHy for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Permission for books published in Europe: Contents Foreword: Technology Choices and The New Discipline of Technology Commercialization. By Robert Ronstadt xi Acknowledgements xv Prologue 1 PART I: COMMERCIAL PRIORITIES Chapter 1. Tutorial. The Many Dimensions of an R&D Project: Multi-Criteria Analysis. By C. Bana e Costa and S. Thore 23 Chapter 2. Using Frontier Analysis to Rate the R&D Projects of a Commercial Corporation 45 EDITORIAL INTRODUCTION 45 RESEARCH PAPER: Prioritizing a Portfolio of R&D Activities, Employing Data Envelopment Analysis. By S. Thore and G. Rich 53 Chapter 3. The Life Cycles of Sales and Profits: Dealing with the Uncertainties of the Commercialization Process 75 EDITORIAL INTRODUCTION 75 Vl RESEARCH PAPER: Prioritizing R&D Projects in the Face of Technological and Market Uncertainty: Combining Scenario Analysis and DEA. By S. Thore and L. Lapao 87 Chapter 4. Investment Policies by Venture Capital Firms and Government Development Foundations 105 EDITORIAL INTRODUCTION 105 RESEARCH PAPER: Applying Data Envelopment Analysis to Evaluate the Efficiency of R&D Projects - - A Case Study of R&D in Energy Technology. By B. Yuan and J.-N. Huang 111 Chapter 5. Rating Academic Research 135 EDITORIAL INTRODUCTION 135 RESEARCH PAPER: Controlling the Efficiency of University Research in the Netherlands. By T. Garcia Valderrama and T.L.C.M. Groot 147 Chapter 6. Rating R&D Stock 183 EDITORIAL INTRODUCTION 183 RESEARCH PAPER: Pricing IPOs, Using Two-Stage DEA to Track their Financial Fundamentals. By C. Abad and S. Thore 197 Chapter 7. Monitoring the Dynamic Performance of a Portfolio of R&D Projects over Time 227 EDITORIAL INTRODUCTION 227 RESEARCH PAPER: Evaluating a Portfolio of Proposed Projects, Ranking them Relative to a List of Existing Projects. By S. Thore and F. Pimentel 233 Chapter 8. R&D Budgeting: Assessing the Efficiency of R&D Projects in the Presence of Resource Constraints 247 vii EDITORIAL INTRODUCTION 247 RESEARCH PAPER: On the Ranking of R&D Projects in a Hierarchical Organizational Structure subject to Global Resource Constraints. By B. Golany and S.Thore 253 PART II ENVIRONMENTAL CONCERNS 275 Chapter 9: Tutorial. The Environmental Impact of New Products. By S. Thore and P. Ferrao 277 Chapter 10: A New Mathematical Programming Format for Activity Analysis and the Life Cycle of Products 291 EDITORIAL INTRODUCTION 291 FIRST RESEARCH PAPER: Activity Analysis with Environmental Variables and Recycling: An Example from the Portuguese Bottled Water Industry. By S. Thore and F.M. Freire 301 SECOND RESEARCH PAPER: Life Cycle Activity Analysis: A Case Study of Plastic Panels. By F. Freire, E. Williams, A. Azapagic, R. Clift, G. Stevens and W. Mellor 323 Chapter 11. Ranking Commercial Products with Harmful Environmental Effects 353 EDITORIAL INTRODUCTION 353 RESEARCH PAPER: Using DEA to Rank the Performance of Producers in the Presence of Environmental Goals. By S.Thore and M. Freire 363 Appendix. The Mathematics of Data Envelopment Analysis 385 Index 407 Contributors Cristina Abad is a Ph. D. student at the Department of Accounting and Finance, University of Seville. E-mail: x Tom L.C.M. Groot is a Professor at the Vrije University, Amsterdam, The Netherlands. E-mail: Foreword TECHNOLOGY CHOICES AND THE NEW DISCIPLINE OF TECHNOLOGY COMMERCIALIZATION by Robert Ronstadt, The Ie2 Institute, The University of Texas at Austin, www.ic2.org You won't read about it in the Sunday Times, but I'm predicting that the application of Data Envelopment Analysis (DEA) will be seen in the years ahead as a major achievement in the history of technology commercialization. If you're reading this book, you probably know that DEA means something other than the Drug Enforcement Agency. But just in case ... DEA is a statistical methodology that permits the setting of commercial priorities while taking into account a wide array of factors where outcomes are calculated against a "frontier or best practice," as oppose to some statistical average. For those of you who never resonated to statistical regression, DEA is much more palatable. Think of it as "progressing to an optimum, versus regressing to a mean." Who wants to be "average," anyway? xu Certainly, the authors don't. Led by Senior IC2 Fellow, Sten Thore, they have produced a book that shows how to apply theory to difficult real world problems. In the process, they've enriched a stream of seminal research 2 2 started by IC Fellows, Bill Cooper and Abe Charnes over 20 years ago. IC Institute has regularly supported the early theoretical work and the subsequent applications work of DEA over the last two decades. We've done so because we believed this work has the potential to improve the efficacy of: I) national and corporate research laboratories; 2) university research investments; 3) venture incubator portfolios; 4) venture capital portfolios; and, in fact, any portfolio where choices must be made about capital allocations. In fact, this array of applications is telltale. They reveal that this extremely readable book is more than one more step in the arduous journey to quantifY research and development (R&D) projects. Despite the limitation of the book's subtitle, Technology Commercialization is much more. From my perspective, this book is part of a larger movement whose outline is now barely visible on the horizon, a movement whose goal is more than the demonstration of a new quantitative technique, but part of an effort to create an entirely new discipline around a critical wealth producing process known as technology commercialization. What is technology commercialization? Technology commercialization can be defmed simply as "the movement of ideas from the research laboratory to the market place." The value of this simple defmition is its ease of understanding. People can be perplexed about "technology commercialization," but they generally comprehend that the "lab to market" description implies a conversion of ideas into products and services. Also, it's easy to expand this defmition to be more precise about the starting and ending points of the technology commercialization process. For instance, a more realistic starting point sees technology commercialization commencing at the very moment of ideation versus some laboratory workbench... and ending at that point when a venture actually creates real wealth. These latter stipulations aren't just semantics. The recent dot.com bubble illustrates how new businesses can reach the market place, even go public, without creating real wealth. And breakthrough ideas are just as likely (perhaps more likely) to hit us after a good night's sleep, or in the shower, versus at some research laboratory. Why are applications of DEA important? History shows us the discovery of new scientific tools often opens the floodgates of scientific breakthroughs and eventually commercial application. F or instance, many scientific theories and new technologies would never have seen the light of

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