Innovation Networks And Clusters
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Innovation Networks and Clusters
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.
Clusters, Networks and Innovation
Author: Stefano Breschi
language: en
Publisher: Oxford University Press
Release Date: 2005-12-22
Examining the role of the much-vaunted concepts of regional clusters in the prosperity and economic expansion of countries, this work looks at the different experiences of industrial districts and high-tech regions such as Silicon Valley, Boston's biotech region, and Hsinchu-Taipei.
Industrial Innovation, Networks, and Economic Development
This book offers an innovative examination of how ‘low–technology’ industries operate. Based on extensive fieldwork in India, the book fuses economic and sociological perspectives on information sharing by means of informal interaction in a low-technology cluster in a developing country. In doing so, the book sheds new light on settings where economic relations arise as emergent properties of social relations. This book examines industrial innovation and microeconomic network behaviour among producers and clusters, perceiving knowledge diffusion to be a socially-spatial, as much as a geographically spatial, phenomenon. This is achieved by employing two methods – simulation modelling, and (quantitative, qualitative, and historical) social network analysis. The simulation model, based on its findings, motivates two empirical studies – one descriptive case and one network study – of low-tech rural and semi-urban traditional technology clusters in Kerala state in southern India. These cases demonstrate two contrasting stories of how social cohesion either supports or thwarts informal information sharing and learning. This book pushes towards an economic-sociology approach to understanding knowledge diffusion and technological learning, which perceives innovation and learning as being more social processes than the mainstream view perceives them to be. In doing so, it makes a significant contribution to the literature on defensive innovation and the role of networks in technological innovation and knowledge diffusion, as well as to policy studies of Indian small firm and traditional technology clusters.