Silicon Valley Innovation System

2021 ◽  
pp. 225-247
Author(s):  
Georg Fuerlinger ◽  
Ludovit Garzik
Keyword(s):  
Innovation System ◽  
Silicon Valley

Silicon Valley, France and China: a comparative study of innovation systems and policies

2017 ◽  
Vol 10 (3) ◽  
pp. 194-214 ◽  
Author(s):  
K.C. Fung ◽  
Nathalie Aminian
Keyword(s):  
Design Methodology ◽  
Innovation System ◽  
Silicon Valley ◽  
High Technology ◽  
Content Type ◽  
Strong State ◽  
State Involvement ◽  
Multi Level ◽  
Interesting Development ◽  
Innovation Policies

Purpose In this paper, the authors aim to examine some characteristics of the innovation system and policy in France and China. For comparison, they also highlight some high technology features of Silicon Valley and California. Design/methodology/approach The authors study the characteristics of innovation in France and in China. The authors examine the technology systems and policies in both countries and compare their features with those in Silicon Valley. Findings As far as France is concerned, it can be stated that the innovation system and policy are under transformation, going from a strong state involvement to a more decentralized framework. This evolution leads to a multi-level governance of the innovation system and to the emergence of new actors. For China, the most interesting development in China is the evolution of its internet-related sector. The authors argue here that the internet-driven economy is a radical, systemic technological change and it is rapidly growing in China. Originality/value One of the earliest papers comparing the innovation policies and activities in France, China and Silicon Valley.

“Triple Helix” in Russia’s Innovation System

2007 ◽  
pp. 123-135 ◽  
Author(s):  
I. Dezhina ◽  
V. Kiseleva
Keyword(s):  
Triple Helix ◽  
Government Regulation ◽  
Innovation System ◽  
Innovation Systems ◽  
Modern Theory

The article analyzes modern theory that explains the specificity of relationships among government, science and business in innovation systems - the "triple helix" concept. Factors that determine the appearance of new theory are systematized. The peculiarities of formation of "triple helix" in Russia are described, including the development of science, business and the system of government regulation in innovation sphere. The conclusion is made that currently in Russia only double linkages are formed.

Book Reviews

2014 ◽  
Vol 7 (1) ◽  
pp. 115-122
Author(s):  
Book Reviews
Keyword(s):  
New York ◽  
Material Culture ◽  
Mexican Immigrants ◽  
Silicon Valley ◽  
Harvard University ◽  
University Of California ◽  
Street Vendors ◽  
Missing Link ◽  
Transit Migration

Janitors, Street Vendors, and Activists: The Lives of Mexican Immigrants in Silicon Valley by Christian Zlolniski Berkeley, CA, USA: University of California Press, 2006 ISBN 0520246438, 249 pp.The Archaeology of Xenitia: Greek Immigration and Material Culture Ed. by Kostis Kourelis Athens: Gennadius Library, 2008 ISBN 978-960-86960-6-8, 104 pp.  Transit Migration: The Missing Link between Emigration and Settlement by Aspasia Papadopoulou-Kourkoula New York: Palgrave Macmillan, 2008 ISBN 0-230-55533-0, 177 pp.How Professors Think: Inside The Curious World of Academic Judgment, 1st Edition by Michele Lamont Cambridge, MA: Harvard University Press, 2009 ISBN: 978-0674032668, 336 pp.

Analisys of Innovation System Models

2006 ◽  
Vol 2 (3) ◽  
pp. 118-126
Author(s):  
I. S. Kuznecova ◽  
Keyword(s):  
Innovation System ◽  
System Models

WHAT FASHION CAN LEARN FROM SILICON VALLEY

2017 ◽  
Vol 2017 ◽  
pp. 545-545
Author(s):  
Roland T. Rust ◽  
Keyword(s):  
Silicon Valley

Modeling and optimizing logistics, information, economic and financial intercluster cooperation using the ant colony optimization algorithm

2020 ◽  
Vol 26 (11) ◽  
pp. 2427-2447
Author(s):  
S.N. Yashin ◽  
E.V. Koshelev ◽  
S.A. Borisov
Keyword(s):  
Ant Colony Optimization ◽  
Optimization Algorithm ◽  
Population Decline ◽  
Innovation System ◽  
Federal District ◽  
Original Model ◽  
Ant Colony ◽  
Industrial Agglomeration ◽  
Ant Colony Optimization Algorithm

Subject. This article discusses the issues related to the creation of a technology of modeling and optimization of economic, financial, information, and logistics cluster-cluster cooperation within a federal district. Objectives. The article aims to propose a model for determining the optimal center of industrial agglomeration for innovation and industry clusters located in a federal district. Methods. For the study, we used the ant colony optimization algorithm. Results. The article proposes an original model of cluster-cluster cooperation, showing the best version of industrial agglomeration, the cities of Samara, Ulyanovsk, and Dimitrovgrad, for the Volga Federal District as a case study. Conclusions. If the industrial agglomeration center is located in these three cities, the cutting of the overall transportation costs and natural population decline in the Volga Federal District will make it possible to qualitatively improve the foresight of evolution of the large innovation system of the district under study.

Sign in / Sign up

Export Citation Format

Share Document