Management of information flow in innovation networks

Avi Messica

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 1st International Technology Management Conference, ITMC 2011
Pages404-411
Number of pages8
DOIs
StatePublished - 26 Sep 2011
Externally publishedYes
Event1st International Technology Management Conference, ITMC 2011 - San Jose, CA, United States
Duration: 27 Jun 201130 Jun 2011

Publication series

NameProceedings of the 1st International Technology Management Conference, ITMC 2011

Conference

Conference1st International Technology Management Conference, ITMC 2011
Country/TerritoryUnited States
CitySan Jose, CA
Period27/06/1130/06/11

ASJC Scopus subject areas

  • Management of Technology and Innovation

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