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Product innovation success based on cancer research in the pharmaceutical industry : co-publication networks and the effects of partners

McKelvey, Maureen D.; Rake, Bastian - In: Industry and innovation 23 (2016) 5, pp. 383-406

Persistent link: https://www.econbiz.de/10011523939

Innovation network

Acemoglu, Daron; Akcigit, Ufuk; Kerr, William R. - 2016

linked fields. Our analysis uses 1.8 million U.S. patents and their citation properties to map the innovation network and its … strength. Past innovation network structures are calculated using citation patterns across technology classes during 1975 … predictive power on future innovation after 1995. This pattern is consistent with the idea that when there is more past upstream …

Persistent link: https://www.econbiz.de/10011557905

The extension of clusters : difference-in-differences evidence from the Bavarian state-wide cluster policy

Falck, Oliver (contributor); Heblich, Stephan (contributor); … - 2008

Bavarian State Government. The purpose of the initiative was to create a Bavarian-wide innovation network in support of state … the likelihood of innovation by a firm in the targeted industry by 4 to 7 percentage points. However, this effect is …

Persistent link: https://www.econbiz.de/10003790767

Superstar economists : coauthorship networks and research output

Hsieh, Chih-sheng; König, Michael D.; Liu, Xiaodong; … - 2018

We study the impact of research collaborations in coauthorship networks on research output and how optimal funding can maximize it. Through the links in the collaboration network, researchers create spillovers not only to their direct coauthors but also to researchers indirectly linked to them....

Persistent link: https://www.econbiz.de/10011925969

Not too close, not too far : testing the Goldilocks principle of ‘optimal’ distance in innovation networks

Fitjar, Rune Dahl; Huber, Franz; Rodríguez-Pose, Andrés - In: Industry and innovation 23 (2016) 6, pp. 465-487

Persistent link: https://www.econbiz.de/10011524038

Geographic network diversity : how does it affect exploratory innovation?

Bahlmann, Marc D. - In: Industry and innovation 21 (2014) 7/8, pp. 633-654

Persistent link: https://www.econbiz.de/10011308748

Introducing the T-shaped model of cluster competence : an integrative framework and first empirical evidence from the German craftsmen sector

Tomenendal, Matthias; Raffer, Christian; Stockklauser, … - In: Industry and innovation 25 (2018) 1/2, pp. 144-166

Persistent link: https://www.econbiz.de/10011802044

Personal and social proximity empowering collaborations : the glue of knowledge networks

Ooms, Ward; Werker, Claudia; Caniëls, Marjolein - In: Industry and innovation 25 (2018) 9/10, pp. 833-840

Persistent link: https://www.econbiz.de/10011958618

The function of ability, benevolence, and integrity-based trust in innovation networks

Svare, Helge; Gausdal, Anne Haugen; Möllering, Guido - In: Industry and innovation 27 (2020) 6, pp. 585-604

Persistent link: https://www.econbiz.de/10012286889

Knowledge exchange and innovation in clusters : a dynamic social network analysis

Alberti, Fernando G.; Belfanti, Federica; Giusti, Jessica D. - In: Industry and innovation 28 (2021) 7, pp. 880-901

Persistent link: https://www.econbiz.de/10012624698