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In Economics, networks are increasingly used to describe the many links created between independent companies, as well as between them and other institutions (universities, banks, venture capital, etc.). In the current global and knowledge-based economy, they can be characterised as knowledge factories and knowledge boosters. They feed the internal processes of innovation (collaborative innovation) or the external processes of innovation, created by the propagation effects that come from inter-firm collaboration. The book explains how innovation networks are at the origin of the production of new knowledge that will be transformed and used in common as well as in separated production processes. This characteristic of networks as knowledge factories gives incentives to further investment in the production of knowledge and ensures the cumulativeness of the innovation process. Some of the authors clearly take a territorial point of view and study how clusters (in different parts of the world: Europe, Eastern Asia and North America) propelled by the quality of the innovation networks they enclose, can be characterised as knowledge pools into which the local actors will be able to draw to reinforce their individual and collective competitiveness. This book also includes analyses of the quality of the networks built within clusters, which may help their identification.
In Innovation Networks in Knowledge-based Firms, Mitsuru Kodama explores corporate strategic management in an information and communication technology (ICT) environment. Bridging theory and practice and providing international scope, the author seeks to make transparent the mechanisms behind the processes that generate product and service innovation in ICT industries, such as search and advertising (Yahoo, Google), music distribution (Apple iPod) and gaming (Sony Playstation, Nintendo DS). He develops new business models based on 'boundary innovation' management and explains the innovation networks formed via three types of knowledge innovator - platform, process, and content. These knowledge innovators play an important role in merging different technologies (including ICT) and business models to develop new business value chains and new industries that span various industrial fields.
This book provides a knowledge-based view to the dynamic capabilities in an organization. The author integrates two existing views on gaining competitive advantage: the Knowledge View which suggests that the capability of organizations to learn faster than competitors is the only source of competitiveness; and the Dynamic Capability View which speculates that a firm’s competitive advantage rests on dynamic capabilities which enable a firm to constantly renew the stock of ordinary organizational capabilities in accordance with the changes in the business environment. Using the IT sector in India as a case study, this book provides and tests a new framework--Knowledge-Based Dynamic Capabilities—in the prediction of competitive advantage in organizations.
What is innovation and how should it be measured? Understanding the scale of innovation activities, the characteristics of innovative firms and the internal and systemic factors that can influence innovation is a prerequisite for the pursuit and analysis of policies aimed at fostering innovation.
This volume covers the topic of innovation in three sections, first demonstrating that processes of innovation and technological change are spatially differentiated, second examining the increasing importance of knowledge creation and diffusion, and third raising key issues related to the systems of innovation approach as a conceptual framwork for regional innovation analysis. Includes enlightening conceptual and empirical work on the issue of how knowledge spills over locally.
Innovation networks are a major source for acquiring new information and knowledge and thus for supporting innovation processes. Despite the many theoretical and empirical contributions to the explanation of networks, many questions still remain open. For example: How can networks, if they do not emerge by their own, be initiated? How can fragmentation in innovation systems be overcome? And how can networking experience from market economies be transferred to the emerging economies of Central and Eastern Europe? By presenting a selection of papers which address innovation networking from theoretical and political viewpoints, the book aims at giving answers to these questions.
Patrick Llerena and Mireille Matt BETA, Strasbourg, E-mail: pllerena@coumot. u-strasbg. fr BETA, Strasbourg, E-mail: matt@coumot. u-strasbg. fr 0. 1 Why Analyze Innovation Policies From a Knowledge- Based Perspective? It is broadly accepted that we have moved (or are moving) to a knowled- based economy, characterized at least by two main features: that knowl edge is a major factor in economic growth, and innovation processes are systemic by nature. It is not surprising that this change in the economic paradigm requires new analytical foundations for innovation policies. One of the purposes of this book is to make suggestions as to what they should include. Underpinning all the chapters in this book is a conviction of the impor tance of dynamic and systemic approaches to innovation policy. Nelson (1959)^ and Arrow (1962)^ saw innovation and the creation of new knowl edge as the emergence and the diffusion of new information, characterized essentially as a public good. The more recent theoretical literature regarded the rationale for innovation policies as being to provide solutions to "mar ket failures". Today, however, knowledge is seen as multidimensional (tacit vs. codified) and open to interpretation. Acknowledging that the creation, coordination and diffusion of knowledge are dynamic and cumu lative processes, and that innovation processes result from the coordination of distributed knowledge, renders the "market failure" view of innovation policies obsolete. Innovation policies must be systemic and dynamic.
Technology-based firms continue to compete primarily on innovation, and one continuously required to present new solutions to an exacting market. As technological complexity and specialization intensifies, firms increasingly need to integrate and co-ordinate knowledge by means of project groups, diversified organizations, inter-organizational partnerships, and strategic alliances. Innovation processes have progressively become interdisciplinary, collaborative, inter-organizational, and international, and a firm's ability to synthesize knowledge across disciplines, organizations, and geographical locations has a major influence on its viability and success. This book demonstrates how knowledge integration is crucial in facilitating innovation within modern firms. This book provides original, detailed empirical studies of prerequisites, mechanisms, and outcomes of knowledge integration processes on several organizational levels, from key individuals, projects, and internal organizations, to collaboration between firms. It stresses the need to understand knowledge integration as a multi-level phenomenon, which requires a broad repertoire of organizational and technical means. It further clarifies the need for strong internal capabilities for exploiting external knowledge, reveals how costs of knowledge integration affect outcomes and strategic decisions, and discusses the managerial implications of fostering knowledge integration, providing practical guidance and support for managers of knowledge integration in high technology enterprises.
Illustrating the interdisciplinary implications for research on creativity development, this book focuses on the new concept of ‘knowledge differences’ that arise between people, organizations and various phenomena. It describes how these key differences create boundaries knowledge, a dynamic process that accelerates innovation.
The aim of this book is the integration of these different perspectives in order to develop a common theory of innovation networks. In this respect, a general model of innovation networks is applied to different industrial sectors such as the biotechnology industry, the telecommunications industry and knowledge-intensive business systems which form the backbone of the internet economy. By combining empirical case studies with theoretical work on the emergence of innovation networks, the authors are able to identify the mechanisms and circumstances which can contribute to their successful development and evaluation.