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.

The book provides conceptual and empirical insights into the complex relationship between knowledge flows and regional growth in the EU. The author critically scrutinizes and enhances the RIS (Regional Innovation System) approach, discussing innovation as a technological, institutional and evolutionary process. Moreover, she advances the ongoing discourse on the role of space and technological proximity in the process of innovation and technological externalities. The book closes with an investigation of the role of technological change and knowledge spillovers in the dynamic growth and “catching-up” of EU regions. ​

Economists examine the genesis of technological change and the ways we commercialize and diffuse it. The economics of property rights and patents, in addition to industry applications, are also surveyed through literature reviews and predictions about fruitful research directions. Two volumes, available as a set or sold separately - Expert articles consider the best ways to establish optimal incentives in technological progress - Science and innovation, both their theories and applications, are examined at the intersections of the marketplace, policy, and social welfare - Economists are only part of an audience that includes attorneys, educators, and anyone involved in new technologies

Knowledge is power: In today’s era of knowledge-based economies, constantly changing business environments, severe competition, and globalization, gaining the knowledge edge will greatly empower an organization to stay on the cutting edge. Intelligence Methods and Systems Advancements for Knowledge-Based Business examines state-of-the-art research in decision sciences and business intelligence, and the applications of knowledge-based business with information systems. This comprehensive volume will provide researchers, academics, and business professionals with the research and inspiration they need to strengthen and empower their businesses in today’s world.

This ground-breaking Handbook presents a state-of-the-art exploration of entropy, complexity and spatial dynamics from fundamental theoretical, empirical and methodological perspectives. It considers how foundational theories can contribute to new advances, including novel modeling and empirical insights at different sectoral, spatial and temporal scales.

Get your organization's expertise out of its silos and make it flow-with lessons from over a decade of experience Looking at knowledge management in a holistic way, Mastering Organizational Knowledge Flow: How to Make Knowledge Sharing Work puts the proper emphasis on non-technical issues. As knowledge is deeply connected to humans, the author moves away from the often overused and therefore burned-out term "knowledge management" to the better-suited term "knowledge flow management." Provides lessons learned and case studies from real experience Discusses key knowledge flow components, success factors and traps, and where to start Covering topics such as the power of scaling, internal marketing, measuring success, cultural aspects of sharing, and the role of Web2.0, Mastering Organizational Knowledge Flow: How to Make Knowledge Sharing Work allows you to stay up-to-date with today's knowledge flow management, and implement best practices to position your organization to take advantage of all of its assets.

This book explores the relationships between knowledge management (KM) processes and innovation management. The geographical extension of markets and intensification of competition have led firms to experiment with novel approaches to innovation. New organizational forms emerged in which firms collaborate with various stakeholders to create, absorb, integrate and protect knowledge. This book explores how knowledge management processes evolve with firms' implementation of interactive, collaborative and open innovation models and it identifies the various knowledge types and processes involved throughout the different phases of the innovation process. The authors provide operational typologies for understanding innovative firms' capabilities and knowledge management practices and also discuss the main properties of four models of interactive innovation, namely open innovation, user-centric innovation, community-based innovation and crowdsourcing.