Building Regional Innovation Capacity: Linking Knowledge-intensive innovative entrepreneurship and innovation governance. McKelvey, M., Szucs, S., & Zaring, O. 1(1):1. ![Building Regional Innovation Capacity: Linking Knowledge-intensive innovative entrepreneurship and innovation governance [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex From an evolutionary perspective, knowledge networks are self-organizing systems. Therefore, studying changes of these systems requires an understanding of how such changes are influenced by both the behaviors and characteristics of key individual actors and the network structure. We apply this perspective to a network of investigators (i.e. lead scientists) and a sample of 9,543 Phase 2 cancer clinical trials during the period 2002-2012, in order to examine the structure and explore the dynamics of the clinical trial network. Using temporal exponential random graph models, we examine whether preferential attachment, multi-connectivity, or homophily drive the formation of new collaborative relations to knowledge translators - i.e. investigators with basic and clinical research knowledge. Our results suggest that despite some increased connectivity over time the network remains fragmented due to the considerably growing number of investigators in the network. We find that homophily in research fields and investigators’ country of affiliation and heterophily in terms of publication output promote the formation of ties to knowledge translators. We find also that multi-connectivity increases the probability of tie formation with knowledge translators while preferential attachment reduces this probability.
@article{mckelvey_building_2020,
title = {Building Regional Innovation Capacity: Linking Knowledge-intensive innovative entrepreneurship and innovation governance},
volume = {1},
issn = {1476-1297, 1741-8054},
url = {http://www.inderscience.com/link.php?id=10023859},
doi = {10.1504/IJESB.2020.10023859},
shorttitle = {{BUILDING} {REGIONAL} {INNOVATION} {CAPACITY}},
abstract = {From an evolutionary perspective, knowledge networks are self-organizing systems. Therefore, studying changes of these systems requires an understanding of how such changes are influenced by both the behaviors and characteristics of key individual actors and the network structure. We apply this perspective to a network of investigators (i.e. lead scientists) and a sample of 9,543 Phase 2 cancer clinical trials during the period 2002-2012, in order to examine the structure and explore the dynamics of the clinical trial network. Using temporal exponential random graph models, we examine whether preferential attachment, multi-connectivity, or homophily drive the formation of new collaborative relations to knowledge translators - i.e. investigators with basic and clinical research knowledge. Our results suggest that despite some increased connectivity over time the network remains fragmented due to the considerably growing number of investigators in the network. We find that homophily in research fields and investigators’ country of affiliation and heterophily in terms of publication output promote the formation of ties to knowledge translators. We find also that multi-connectivity increases the probability of tie formation with knowledge translators while preferential attachment reduces this probability.},
pages = {1},
number = {1},
journaltitle = {{IJESB}},
author = {{McKelvey}, Maureen and Szucs, Stefan and Zaring, Olof},
urldate = {2021-03-24},
date = {2020},
langid = {english},
keywords = {collective action, economic emergence, entrepreneurship, innovation, knowledge-intensive entrepreneurship, regional governance, resources},
}
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