Knowledge, Complexity and Innovation Systems

In recent years there has been growing scientific interest in the triangular relationship between knowledge. complexity and innovation systems. The concept of'innovation systems' carries the idea that innovations do not originate as isolated discrete phenomena, but are generated through the interaction of a number of actors or agents. This set of actors and interactions possess certain specific characteristics that tend to remain over time. Such characteristics are also shared by national, regional, sectoral and technological interaction systems. They can all be represented as sets of [institutional] actors and interactions, whose ultimate goal is the production and diffusion of knowledge. The major theoretical and policy problem posed by these systems is that knowledge is generated not only by individuals and organisations, but also by the often complex pattern of interaction between them. To understand how organisations create new products, new production techniques and new organisational forms is important. An even more fundamental need is to understand how organisations create new knowledge if this knowledge creation lies in the mobilisation and conversion of tacit knowledge. Although much has been written about the importance of knowledge in management, little attention has been paid to how knowledge is created and how the knowledge creation process is managed. The third component of the research triangle concerns complexity.

Autorentext
Manfred M. Fischer (born in 1947, Nuremberg, Germany) graduated in geography and mathematics from the Friedrich-Alexander University in Erlangen (Germany). He holds a Ph.D. (summa cum laude) on urban modelling from the same university (1975), and a habilitation degree in human geography from the University of Vienna (1982). Since 1988 he is professor in economic geography and GIScience at the Vienna University of Economics and Business.
For more than thirty years he has consistently made significant contributions to regional science and GIScience in general, and spatial analysis, GeoComputation and spatial econometrics in particular. He has published widely, both books and articles in more than 30 distinct academic journals.

Klappentext

The book addresses the relationship between knowledge, complexity and innovation systems. It integrates research findings from a broad area including economics, business studies, management studies, geography, mathematics and science & technology contributions from a wide range group of international experts. In particular, it offers insights about knowledge creation and spillovers, innovation and learning systems, innovation diffusion processes and innovation policies.The contributions provide an excellent coverage of current conceptual and theoretical developments and valuable insights from both empirical and conceptual work. The reader gets an overview about the state of the art of the role of innovation systems and knowledge creation and diffusion in geographical space.

Inhalt
Preface.- Introduction by M.M.Fischer,J.Fröhlich.- Part A: Innovation Systems: With contributions by P.P.Saviotti.- C.Edquist.- D.Archibugi.- Part B: Knowledge Creation and Spillovers: With contributions by A.Lagendijk.- C.Karlsson, A.Manduchi.- M.M.Fischer,J.Fröhlich,H.Gassler,A.Varga.- E.Echeverri-Carroll.- Part C: Innovation, Knowledge and Regional Development: With contributions by L.Suarez-Villa.- R.Capello.- N.Alderman.- Z.J.Acs.- Part D: Modelling Complexities: With contributions by G.Haag,P.Liedl.- F.Schweitzer, J.Zimmermann.- D.F.Batten.- Michael Sonis.- Part E: Policy Issues: With contributions by D.Dendrinos.- P.Nijkamp,J.Poot;G.Vindigni.- D.Engel,A.Fier.- References.- List of Figures.- List of Tables.- Subject Index.- Author Index.- List of ContributorsThe complete table of contentscan be found on the Internet:http://www.springer.de