Overview
- First book to examine this phenomenon specifically in China
- Looks at the problem of knowledge flow by applying DEA and Game Theory
- Authors are scholars conducting research in the area of knowledge flow and management
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 271)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book constructs a model of the knowledge value chain in the university and analyzes the university knowledge value-added mechanism in the process of Industry-University Collaborative Innovation. The efficiency of university knowledge value-added of Provinces in China is measured. The book illustrates the operating mechanism between enterprise subsystems and college subsystems in the collaborative innovation system, and establishes a Data Envelopment Analysis (DEA) model with parallel decision making units to assess the performance of Industry-University Collaboration Innovation in China by considering the complex internal structure of the collaborative innovation system. The book also addresses various behaviors of knowledge agents in the knowledge sharing process.
The research findings of this book will provide some policy implications to help policy makers to establish a more effective collaborative and interactive innovation system. The focus on China offers a unique contribution, because the form that university-industry collaborations take differs widely from country to country. The United States, the United Kingdom, Japan, and China differ vastly in the way that they implement their respective R&D policies. Some of these differences stem from national culture, others from the historical evolution of the institutions that support innovation efforts, and some from the extent of available resources.
Authors and Affiliations
About the authors
Yu Yu is a lecturer in the College of Auditing and Evaluation, Nanjing Audit University, China. His research interests are in the areas of knowledge management, innovation management, and performance evaluation. He received his PhD in Management Science and Engineering from Hohai University in China in 2016. He also worked as a research trainee at Desautels Faculty of Management in McGill University from Sept. 2014 to Aug. 2015. He has published over 20 articles in international and Chinese Journals.
Yao Chen is Professor of Operations Management, Manning School of Business, University of Massachusetts at Lowell. She is also a distinguished Professor in College of Auditing and Evaluation, Nanjing Audit University, China. Her current research interests include efficiency and productivity issues of information systems, information technology’s impact on operations performance, and methodology development of Data Envelopment Analysis. Her research are published in journals such as European Journal of Operational Research, OMEGA, Computers and Operations Research, Annals of Operations Research, International Journal of Production Economics, and others.
Qinfen Shi is Professor in Business School, Suzhou University of Science and Technology. Her research interests are in the areas of knowledge management and innovation management. She has published over 100 articles in Chinese Journals and International Journals and more than 1,000 citations. She received her PhD from Soochow University in 2006. She has served as Principal Investigator of five general programs of National Natural Science Foundation of China (NSFC). She is also the member of Chinese Association for Science of Science and S&T Policy.
Bibliographic Information
Book Title: Strategy and Performance of Knowledge Flow
Book Subtitle: University-Industry Collaborative Innovation in China
Authors: Yu Yu, Yao Chen, Qinfen Shi
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-3-319-77926-3
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-77925-6Published: 07 May 2018
Softcover ISBN: 978-3-030-08576-6Published: 01 February 2019
eBook ISBN: 978-3-319-77926-3Published: 24 April 2018
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XVIII, 172
Number of Illustrations: 14 b/w illustrations, 19 illustrations in colour
Topics: Operations Research/Decision Theory, Knowledge Management