Handbook of Information Exchange in Supply Chain Management
Sharing accurate and timely supply and demand information throughout a supply chain can yield significant performance improvements to all members of the supply chain. Despite the benefits, many firms are reluctant to share information with their supply ch
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Albert Y. Ha Christopher S. Tang Editors
Handbook of Information Exchange in Supply Chain Management
Springer Series in Supply Chain Management Volume 5
Series Editor Christopher S. Tang University of California Los Angeles, CA, USA
More information about this series at http://www.springer.com/series/13081
Albert Y. Ha • Christopher S. Tang Editors
Handbook of Information Exchange in Supply Chain Management
123
Editors Albert Y. Ha Hong Kong University of Science and Technology Kowloon, Hong Kong
Christopher S. Tang University of California Los Angeles, CA, USA
ISSN 2365-6395 ISSN 2365-6409 (electronic) Springer Series in Supply Chain Management ISBN 978-3-319-32439-5 ISBN 978-3-319-32441-8 (eBook) DOI 10.1007/978-3-319-32441-8 Library of Congress Control Number: 2016943081 © Springer International Publishing Switzerland 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms 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 specific 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 This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
Preface
To mitigate the “bullwhip effect” along a supply chain, Lee et al. (1997) develop stylized models so that they can generate analytical results to argue for the importance of information sharing among supply chain partners. Since then, many supply chain academic research has focused on the interaction between information sharing and operations planning. For example, Lee et al. (2000) investigate further about the conditions under which sharing information about market demand is beneficial; and Aviv (2001) examines the benefits of collaborative forecasting (via sharing information about a firm’s demand forecast with other firms). On September 8, 2015, our simple search of the keywords “information sharing” and “supply chain” through Google Scholar yields 42,700 articles. This search result reveals that many researchers are interested in several fundamental questions about information sharing in supply chains. For instance, what is
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