Endogenous dynamics of innovation networks in the German automotive industry: Analysing structural network evolution using a stochastic actor-oriented approach

Daniel Hain; Tobias Buchmann; Muhamed Kudic; Matthias Müller

doi:10.1504/IJCEE.2018.096392

Endogenous dynamics of innovation networks in the German automotive industry: Analysing structural network evolution using a stochastic actor-oriented approach

Daniel Hain, Tobias Buchmann^*, Muhamed Kudic, Matthias Müller

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Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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Originalsprog	Engelsk
Tidsskrift	International Journal of Computational Economics and Econometrics
Vol/bind	8
Udgave nummer	3-4
Sider (fra-til)	325-344
Antal sider	20
ISSN	1757-1170
DOI	https://doi.org/10.1504/IJCEE.2018.096392
Status	Udgivet - 2018

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Citationsformater

Hain, D., Buchmann, T., Kudic, M., & Müller, M. (2018). Endogenous dynamics of innovation networks in the German automotive industry: Analysing structural network evolution using a stochastic actor-oriented approach. International Journal of Computational Economics and Econometrics, 8(3-4), 325-344. https://doi.org/10.1504/IJCEE.2018.096392

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title = "Endogenous dynamics of innovation networks in the German automotive industry: Analysing structural network evolution using a stochastic actor-oriented approach",

keywords = "Automotive industry, Innovation networks, Network endogeneity, Network evolution, Stochastic actor-oriented approach",

author = "Daniel Hain and Tobias Buchmann and Muhamed Kudic and Matthias M{\"u}ller",

year = "2018",

doi = "10.1504/IJCEE.2018.096392",

language = "English",

volume = "8",

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Endogenous dynamics of innovation networks in the German automotive industry : Analysing structural network evolution using a stochastic actor-oriented approach. / Hain, Daniel; Buchmann, Tobias; Kudic, Muhamed; Müller, Matthias.

I: International Journal of Computational Economics and Econometrics, Bind 8, Nr. 3-4, 2018, s. 325-344.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

TY - JOUR

T1 - Endogenous dynamics of innovation networks in the German automotive industry

T2 - Analysing structural network evolution using a stochastic actor-oriented approach

AU - Hain, Daniel

AU - Buchmann, Tobias

AU - Kudic, Muhamed

AU - Müller, Matthias

PY - 2018

Y1 - 2018

KW - Automotive industry

KW - Innovation networks

KW - Network endogeneity

KW - Network evolution

KW - Stochastic actor-oriented approach

UR - http://www.scopus.com/inward/record.url?scp=85057794930&partnerID=8YFLogxK

U2 - 10.1504/IJCEE.2018.096392

DO - 10.1504/IJCEE.2018.096392

M3 - Journal article

AN - SCOPUS:85057794930

VL - 8

SP - 325

EP - 344

JO - International Journal of Computational Economics and Econometrics

JF - International Journal of Computational Economics and Econometrics

SN - 1757-1170

IS - 3-4

ER -

Adgang til dokumentet

10.1504/IJCEE.2018.096392

http://www.scopus.com/inward/record.url?scp=85057794930&partnerID=8YFLogxK