Tech Mining: Exploiting New Technologies for Competitive Advantage: 29 (Wiley Series in Systems Engineering and Management)

Porter, Alan L.

ISBN 10: 047147567X / ISBN 13: 9780471475675

Published by Wiley-Interscience, 2004

About this Item

Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.

Seller Inventory # wbs1169404419

Bibliographic Details

• Title: Tech Mining: Exploiting New Technologies for Competitive Advantage: 29 (Wiley Series in Systems Engineering and Management)
• Publisher: Wiley-Interscience
• Publication Date: 2004
• Language: English
• ISBN 10: 047147567X
• ISBN 13: 9780471475675
• Binding: Hardcover
• Condition: Good

About this title

Synopsis

Tech Mining makes exploitation of text databases meaningful to those who can gain from derived knowledge about emerging technologies. It begins with the premise that we have the information, the tools to exploit it, and the need for the resulting knowledge.
The information provided puts new capabilities at the hands of technology managers. Using the material present, these managers can identify and access the most valuable technology information resources (publications, patents, etc.); search, retrieve, and clean the information on topics of interest; and lower the costs and enhance the benefits of competitive technological intelligence operations.

About the Author

ALAN L. PORTER's major concentration is technology intelligence, forecasting, and assessment. He has led the development of "technology opportunity analysis"―mining electronic bibliographic data sources to generate intelligence on emerging technologies. He holds a BS in chemical engineering from the California Institute of Technology, and a PhD in engineering psychology from UCLA. He is currently Director, Research & Development, for Search Technology, Inc., in Norcross, Georgia.

SCOTT W. CUNNINGHAM worked for the Technology Policy & Assessment Center at the Georgia Institute of Technology. He has worked in industry as a data mining and machine learning consultant, working chiefly in the e-commerce and retail industries. He holds a BEng in engineering science and mechanics from Georgia Tech and a DPhil in science, technology, and innovation policy from the University of Sussex, UK. He currently serves as an assistant professor on the Technology, Policy, and Management faculty of TU Delft.