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@ARTICLE{vomStein:829136,
author = {vom Stein, Nicole and Sick, Nathalie and Leker, Jens},
title = {{H}ow to measure technological distance in collaborations
— {T}he case of electric mobility},
journal = {Technological forecasting and social change},
volume = {97},
issn = {0040-1625},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2017-02943},
pages = {154 - 167},
year = {2015},
abstract = {Innovation collaborations experienced a substantial growth
during recent decades, so that research interest in factors
contributing to successful collaboration increased. One
proposed success factor is technological distance, which
determines the probability of receiving new knowledge from a
partner as well as the ability of absorbing it. The
methodology for measuring this distance is receiving broad
attention in current literature. Therefore, we compare
well-established measuring methods based on Euclidian
distances with the recently introduced method of the
min-complement distance.Collaborations along the entire
value chain are seen as a way to overcome technological
deficiencies associated with battery development for
electric mobility, which implies collaboration of partners
with different technological distances. Hence, we
specifically focus on cross-industry collaborations
comprising partners from the chemical and automobile
industries.Our results show that the methodology used
highlights different aspects of the approximation of
technological distance in the examined collaborations. The
use of the min-complement distance seems to be reasonable
due to the intuitive property of the independence of
irrelevant patent classes in cross-industry collaboration
settings.},
cin = {IEK-12},
ddc = {300},
cid = {I:(DE-Juel1)IEK-12-20141217},
pnm = {131 - Electrochemical Storage (POF3-131)},
pid = {G:(DE-HGF)POF3-131},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000357905400014},
doi = {10.1016/j.techfore.2014.05.001},
url = {https://juser.fz-juelich.de/record/829136},
}