Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the R&D Management Conference 2014 : Connecting High Value Solutions with Future Markets |
| Publisher | Fraunhofer IAO, IAT Universität Stuttgart |
| Publication date | 2014 |
| Pages | 745-749 |
| ISBN (Electronic) | 978-3-8396-0746-6 |
| Publication status | Published - 2014 |
| Event | The R&D Management Conference 2014: Connecting High Value Solutions with Future Markets - Stuttgart, Germany Duration: 3. Jun 2014 → 6. Jun 2014 |
Conference
| Conference | The R&D Management Conference 2014 |
|---|---|
| Country | Germany |
| City | Stuttgart |
| Period | 03/06/2014 → 06/06/2014 |
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Intellectual Property Strategies of Multinational Companies Patenting in China. / Wolfram, Pierre; Schuster, Gerd; Brem, Alexander.
Proceedings of the R&D Management Conference 2014: Connecting High Value Solutions with Future Markets. Fraunhofer IAO, IAT Universität Stuttgart, 2014. p. 745-749.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
TY - GEN
T1 - Intellectual Property Strategies of Multinational Companies Patenting in China
AU - Wolfram, Pierre
AU - Schuster, Gerd
AU - Brem, Alexander
PY - 2014
Y1 - 2014
N2 - While global intellectual property trends show a stable rate of worldwide patent applications during the last five years, patent applications in emerging economies strongly increased within the same period. Unless the increasing number of applications in emerging economies, the indigenous legal systems in those countries are mostly not able to effectively protect intellectual property rights of multinational companies. Still, we observe the phenomenon of a strongly increasing rate of technology patenting in countries with weak appropriability regimes. This article studies patenting strategy archetypes of the world’s largest patent applicants using the case of China as an empirical context. Using Questel’s professional patent search application Orbit, we build a unique data set of the world’s top patent applicants combining data from the World Intellectual Property Organization and the State Intellectual Property Office of China comprising data of about 620.000 patents. Referring to the study of Keupp et al. (2012), we extend previous qualitative studies on patenting strategy archetypes by adding quantitative evidence from a data set of the world’s largest intellectual property owners. Model based clustering reveals the existence of five patent strategy archetypes of companies patenting in economies with weak appropriability regimes.
AB - While global intellectual property trends show a stable rate of worldwide patent applications during the last five years, patent applications in emerging economies strongly increased within the same period. Unless the increasing number of applications in emerging economies, the indigenous legal systems in those countries are mostly not able to effectively protect intellectual property rights of multinational companies. Still, we observe the phenomenon of a strongly increasing rate of technology patenting in countries with weak appropriability regimes. This article studies patenting strategy archetypes of the world’s largest patent applicants using the case of China as an empirical context. Using Questel’s professional patent search application Orbit, we build a unique data set of the world’s top patent applicants combining data from the World Intellectual Property Organization and the State Intellectual Property Office of China comprising data of about 620.000 patents. Referring to the study of Keupp et al. (2012), we extend previous qualitative studies on patenting strategy archetypes by adding quantitative evidence from a data set of the world’s largest intellectual property owners. Model based clustering reveals the existence of five patent strategy archetypes of companies patenting in economies with weak appropriability regimes.
M3 - Article in proceedings
SP - 745
EP - 749
BT - Proceedings of the R&D Management Conference 2014
PB - Fraunhofer IAO, IAT Universität Stuttgart
ER -