Measuring Technology Maturity Operationalizing Information from Pate
Till Albert presents a machine learning based approach to harnessing information contained in big data from different media sources such as patents, scientific publications, or the internet. He shows how this information can be used for automated maturity
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Die Reihe stellt aus integrierter Sicht von Betriebswirtschaft und Technik Arbeitsergebnisse auf den Gebieten Forschung, Entwicklung und Innovation vor. Die einzelnen Beiträge sollen dem wissenschaftlichen Fortschritt dienen und die Forderungen der Praxis auf Umsetzbarkeit erfüllen.
Edited by Professor Dr. Hans Dietmar Bürgel (em.), Universität Stuttgart Professorin Dr. Diana Grosse vorm. de Pay, Technische Universität Bergakademie Freiberg Professor Dr. Cornelius Herstatt Technische Universität Hamburg-Harburg
Professor Dr. Hans Koller Universität der Bundeswehr Hamburg Professor Dr. Christian Lüthje Technische Universität HamburgHarburg Professor Dr. Martin G. Möhrle Universität Bremen
Till Albert
Measuring Technology Maturity Operationalizing Information from Patents, Scientific Publications, and the Web
Till Albert Bremen, Germany Dissertation Universität Bremen, 2015
Forschungs-/Entwicklungs-/Innovations-Management ISBN 978-3-658-12131-0 ISBN 978-3-658-12132-7 (eBook) DOI 10.1007/978-3-658-12132-7 Library of Congress Control Number: 2016930681 Springer Gabler © Springer Fachmedien Wiesbaden 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, speci¿cally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on micro¿lms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a speci¿c statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer Gabler is a brand of Springer Fachmedien Wiesbaden Springer Fachmedien Wiesbaden is part of Springer Science+Business Media (www.springer.com)
Foreword
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Foreword
Many companies are confronted with the necessity to evaluate technologies in a valid and robust manner. This necessity arises from the dynamic character of the contemporary business environment, which is marked by globalization, fast technological changes (especially in informatics) and the current demographic shift. In the context of technology evaluation, the metaphor of technological ‘maturity’ (analogous to biological maturity) and related typologies of maturity are quite commonly used. Often, these maturity typologies are defined by in-house specialists, and this involves a number of drawbacks, namely the specialists’ subje
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