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  4. Structure and Performance of Global R&D Networks

Structure and Performance of Global R&D Networks

Type
applied research project
Start Date
October 1, 2004
End Date
March 31, 2005
Status
completed
Description
Within interfirm R&D networks, frequently taking on the structure consistent with the graph-theoretic notion of a small world, two topologically distinct types of ties are usually observed: the local ties which connect firms into several clusters characterized by high density and high closure, and the less prevalent bridging ties which go beyond these clusters, creating shortcuts between companies belonging to disparate cliques and therefore oftentimes positioned in quite distant regions of the network.

In my research, I highlight this distinction and verify its hold in different industrial settings. Subsequently, I focus on assessing whether forming a bridging tie to a spatially and cognitively remote partner may have a more positive impact on the performance of the partnering firm than building a local link to one of its nearest neighbors. In the final step, I propose that a successful alliance strategy should involve identifying which of the two link types would be more optimal at the given point in time. Only after such a decision has been made and a group of candidate firms lying within the correct "reach" of the focal firm has been isolated, can the actual partner search begin. For the focal firm, this generates two normative issues:
(1) How to decide, given a whole set of boundary conditions, whether a bridging-tie or a local-tie strategy should be followed?
(2) How to identify, given the firm's perception of its surrounding alliance network, which ties would be local and potentially redundant and which would result in new opportunities otherwise unavailable in the immediate circle of contacts?
Leader contributor(s)
Herrmann, Andreas  
Tatarynowicz, Adam
Funder

SNF – Scholarship (pr...

Notes
Aufenthaltsort: MERIT Institute, Maastricht und Eindhoven
Referenten: Prof. Dr. Andreas Herrmann (ZBM-HSG), Prof. Dr. Georg von Krogh (IfB-HSG)
Division(s)

ICI - Institute for C...

Eprints ID
18180
Support
HSG researchers can find instructions here for adding or importing publications (DOI, ORCID). Please send questions to alexandria@unisg.ch

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