RNDNET

R&D Network Life Cycles

 Coordinatore EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH 

 Organization address address: Raemistrasse 101
city: ZUERICH
postcode: 8092

contact info
Titolo: Prof.
Nome: Roland
Cognome: Siegwart
Email: send email
Telefono: +41 44 634 53 50
Fax: +41 44 634 53 51

 Nazionalità Coordinatore Switzerland [CH]
 Totale costo 232˙504 €
 EC contributo 232˙504 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2009-IOF
 Funding Scheme MC-IOF
 Anno di inizio 2010
 Periodo (anno-mese-giorno) 2010-10-01   -   2013-09-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH

 Organization address address: Raemistrasse 101
city: ZUERICH
postcode: 8092

contact info
Titolo: Prof.
Nome: Roland
Cognome: Siegwart
Email: send email
Telefono: +41 44 634 53 50
Fax: +41 44 634 53 51

CH (ZUERICH) coordinator 232˙504.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

firm    network    networks    time    individual    economic    evolution    firms    actors    interactions    performance    structure   

 Obiettivo del progetto (Objective)

'It is widely agreed that research and development (R&D), with its subsequent technological innovations, is the driving force in economic growth. R&D activities are distributed across different economic actors, notably firms, which interact in many ways, e.g. through collaboration or knowledge transfer. Using a conceptual network approach, these firms can be seen as nodes and their interactions as links of a network that may evolve over time, both with respect to the actors and their interactions. The goal of this project is to understand the evolution and performance of R&D networks. In doing so, the project wants to explain the formation of R&D networks as a purely endogenous phenomenon, emerging from the behavior of individual firms. Many studies have been devoted to the investigation of the consequences of a certain R&D network structure on a firm's performance. However, only little is known about the time evolution of this structure, or the antecedents of this evolution. Emphasizing temporal aspects, this proposal focuses both on the relationship between the structure of an R&D network and its performance, on an individual firm and aggregate industry level, and on the dynamics of network creation and evolution.'

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SRF-OZO (2014)

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