Strategy and Performance of Knowledge Flow

<p>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.</p><p></p><p>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.<br></p><p></p>