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Revealing correlations between structure and innovation attitude in inter-organisational innovation networks

Revealing correlations between structure and innovation attitude in inter-organisational... Innovation networks constitute a valid structure in which to foster memrs' abilities to interact and cooperate, reducing environmental uncertainty and enhancing ways to deal with the challenges that derive om economic change. Th paper analyses the correlation tween the structure of inter-organational innovation networks and innovation performance. We consider the correlations tween weighted quantities and the underlying structure of the network to descri hierarchies and organational principles, arguing for their influence on innovation. To attest the effectiveness of the approach we propose, as a case study, the Enterpre Europe Network, describing its architecture along with its quantitative information. Keywords: complex weighted networks; inter-organational innovation networks; centrality measures. Reference to th paper should made as follows: Ferraro, G. and Iovanella, A. (2016) `Revealing correlations tween structure and innovation attitude in inter-organational innovation networks', Int. J. Computational Economics and Econometrics, Vol. 6, No. 1, pp.93­113. Biographical notes: Giovanna Ferraro received her PhD in Enterpre Engineering at the University of Rome Tor Vergata. She has a MS in International Economics. She a Lecturer at the Department of Enterpre Engineering of the University of Rome Tor Vergata. Her research interests are related to complex networks, SNA and innovation management. She involved in http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Computational Economics and Econometrics Inderscience Publishers

Revealing correlations between structure and innovation attitude in inter-organisational innovation networks

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Publisher
Inderscience Publishers
Copyright
Copyright © 2016 Inderscience Enterprises Ltd.
ISSN
1757-1170
eISSN
1757-1189
DOI
10.1504/IJCEE.2016.073364
Publisher site
See Article on Publisher Site

Abstract

Innovation networks constitute a valid structure in which to foster memrs' abilities to interact and cooperate, reducing environmental uncertainty and enhancing ways to deal with the challenges that derive om economic change. Th paper analyses the correlation tween the structure of inter-organational innovation networks and innovation performance. We consider the correlations tween weighted quantities and the underlying structure of the network to descri hierarchies and organational principles, arguing for their influence on innovation. To attest the effectiveness of the approach we propose, as a case study, the Enterpre Europe Network, describing its architecture along with its quantitative information. Keywords: complex weighted networks; inter-organational innovation networks; centrality measures. Reference to th paper should made as follows: Ferraro, G. and Iovanella, A. (2016) `Revealing correlations tween structure and innovation attitude in inter-organational innovation networks', Int. J. Computational Economics and Econometrics, Vol. 6, No. 1, pp.93­113. Biographical notes: Giovanna Ferraro received her PhD in Enterpre Engineering at the University of Rome Tor Vergata. She has a MS in International Economics. She a Lecturer at the Department of Enterpre Engineering of the University of Rome Tor Vergata. Her research interests are related to complex networks, SNA and innovation management. She involved in

Journal

International Journal of Computational Economics and Econometrics – Inderscience Publishers

Published: Jan 1, 2016

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