Table of contents
About this book
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.
economic systems evolutionary theory innovation innovation policy innovation systems learning organization research & development (R&D) science and technology technology policy