TY - GEN
T1 - Management of information flow in innovation networks
AU - Messica, Avi
PY - 2011/9/26
Y1 - 2011/9/26
N2 - Governments and regional organizations spend significant amounts of money in order to stimulate sustainable knowledge spillover and diffusion via innovation networks. Using metrics borrowed from graph theory and a newly defined metric, this paper sets up the taxonomy and provides a quantitative analysis of innovation networks in their broadest sense, topology-wise, as well as their efficiency from information flow perspective. I argue that decision makers should apply holistic approach to innovation and decide upon a balanced mix of different types of networks in order to maximize the innovation efficiency/intensity versus costs.
AB - Governments and regional organizations spend significant amounts of money in order to stimulate sustainable knowledge spillover and diffusion via innovation networks. Using metrics borrowed from graph theory and a newly defined metric, this paper sets up the taxonomy and provides a quantitative analysis of innovation networks in their broadest sense, topology-wise, as well as their efficiency from information flow perspective. I argue that decision makers should apply holistic approach to innovation and decide upon a balanced mix of different types of networks in order to maximize the innovation efficiency/intensity versus costs.
UR - http://www.scopus.com/inward/record.url?scp=80053008087&partnerID=8YFLogxK
U2 - 10.1109/ITMC.2011.5995973
DO - 10.1109/ITMC.2011.5995973
M3 - Conference contribution
AN - SCOPUS:80053008087
SN - 9781612849522
T3 - Proceedings of the 1st International Technology Management Conference, ITMC 2011
SP - 404
EP - 411
BT - Proceedings of the 1st International Technology Management Conference, ITMC 2011
T2 - 1st International Technology Management Conference, ITMC 2011
Y2 - 27 June 2011 through 30 June 2011
ER -