The Evolution of Innovation Networks An Automotive Case Study
Tobias Buchmann analyzes innovation network dynamics in the German automotive industry. The study is based on a model for analyzing the complex evolution of innovation networks and the driving mechanisms underlying network evolution derived from theoretic
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Tobias Buchmann
The Evolution of Innovation Networks An Automotive Case Study With a foreword by Prof. Dr. Andreas Pyka
Tobias Buchmann Lehrstuhl für Innovationsökonomik Universität Hohenheim Stuttgart, Germany Dissertation, University of Hohenheim, 2014 D 100
ISBN 978-3-658-10382-8 ISBN 978-3-658-10383-5 (eBook) DOI 10.1007/978-3-658-10383-5 Library of Congress Control Number: 2015942135 Springer Gabler © Springer Fachmedien Wiesbaden 2015 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)
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Foreword Innovation networks are a complex organisation form of industrial R&D which plays a prominent role in the generation and diffusion of new knowledge. Economists widely ignored innovation networks and claimed that the phenomenon must be transitory only, a consequence of disruptive technical change that will disappear. Instead of trying to understand the dynamics of knowledge development, the whole phenomenon was reduced to the discussion of spillover effects which are likely to distort the incentives of firm actors to invest costly resources in research and development activities. Because of the sheer existence of this cooperative form of industrial research, innovation networks are considered an expression of exceptional circumstances. Innovation networks might allow established firms to get access to relevant but distant knowledge introduced by innovative start-ups. After the creation of own competences in the respective fields, the innovation networks disappear and with them the small start-up companies. If this is not the case and the established companies are not able to integrate the new competences, the start-ups will become the established firms of the future, replacing the old establishment. Economic development has shown that traditional economists were barking up the wrong tree: In many indu
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