全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
Information  2013 

Empirical Analysis on Evolution and Small World Effect of Chinese Enterprise-Enterprise Patent Cooperation Network: From the Perspective of Open Innovation

DOI: 10.3390/info4040398

Keywords: patent cooperation network, information mining, open innovation, network structure, small-world effect

Full-Text   Cite this paper   Add to My Lib

Abstract:

The patent cooperation network which enterprises join is a very important network platform for enterprises’ open innovation. However, very limited work has been done to empirically investigate the dynamic change process of the network in China. To address this issue, this paper analyzes dynamic change process of cooperation network of enterprises and the small-world effect of the biggest subgroup according to the data of 36731 items of cooperative patents between enterprises from 1985 to 2010 published by the State Intellectual Property Office of China. A conclusion can be drawn from the analysis results that the biggest subgroup has the characteristics of small-world effect, but the overall network structure also has some defects, which limit the development of open innovation. For the first time, suggestions on open innovation strategies are put forward to provide theoretical reference for both the government and enterprises.

References

[1]  Chesbrough, H.W. The era of open innovation. MIT Sloan Manag. Rev. 2003, 44, 35–41.
[2]  Chesbrough, H.W. Open Innovation—The New Imperative for Creating and Profiting from Technology; Harvard Business School Press: Boston, MA, USA, 2003.
[3]  Chesbrough, H.W. Business model innovation: It's not just about technology anymore. Strategy Leadersh. 2007, 35, 12–17, doi:10.1108/10878570710833714.
[4]  Chesbrough, H.W.; Schwartz, K. Innovating business models with co-development partnerships. Res. Technol. Manag. 2007, 50, 55–59.
[5]  Chesbrough, H.W. Why companies should have open business models. MIT Sloan Manag. Rev. 2007, 48, 22–28.
[6]  Xiang, X.; Cai, H. International technology spillover network analysis and path identification: An empirical study based on patent citation. Study Sci. Sci. 2009, 27, 1348–1354.
[7]  Wartburg, I.; Teichert, T.; Rost, K. Inventive progress measured by multi-stage patent citation analysis. Res. Policy 2005, 34, 1591–1607, doi:10.1016/j.respol.2005.08.001.
[8]  Clauset, A.; Shalizi, C.; Newman, M. Power-law distributions in empirical data. SIAM Rev. 2009, 51, 661–703, doi:10.1137/070710111.
[9]  Jaffe, A.; Fogarty, M.; Banks, B. Evidence from patents and patent citations on the impact of NASA and other federal labs on commercial innovation. J. Ind. Econ. 1998, 46, 183–205, doi:10.1111/1467-6451.00068.
[10]  Chen, Y.; Fang, S. Application of social network analysis on patent networks analysis. Lib. Inf. Serv. 2012, 56, 90–95.
[11]  Paruchuri, S. Intraorganizational network, interorganizational network, and the impact of central inventors: A longitudinal study of pharmaceutical firms. Organ. Sci. 2010, 21, 63–80, doi:10.1287/orsc.1080.0414.
[12]  Barberu, D.; Jimenez, F.; Castello, I. Mapping the importance of the real world: The validity of connectivity analysis of patent citations networks. Res. Policy 2011, 40, 473–486, doi:10.1016/j.respol.2010.11.002.
[13]  Lee, S.; Kim, M.; Park, Y. ICT co-evolution and Korean ICT strategy: An analysis based on patent data. Telecommun. Policy 2009, 33, 253–271, doi:10.1016/j.telpol.2009.02.004.
[14]  Kegler, M.; Rigler, J.; Ravani, M. Using network analysis to assess the evolution of organizational collaboration in response to a major environmental health threat. Health Edu. Res. 2010, 25, 413–424, doi:10.1093/her/cyq022.
[15]  Xiang, X.; Cai, H. International knowledge transfer network structure analysis—an empirical study based on patent data. Study Sci. Sci. 2011, 29, 97–105.
[16]  Wang, X.; Liu, Z.; Hou, H. Technology development and technology competition of enterprises based on patent co-citation analysis: A study on industrial enterprises of Fortune 500. Sci. Res. Manag. 2011, 31, 127–138.
[17]  Yang, Z.; Liu, Q.; Yu, S. The relationship among technical fields based on patent citation network. Sci. Res. Manag. 2011, 32, 149–155.
[18]  Luan, C. Social network analysis method in the application of the detection of cluster technology: A study on Boeing Co. Sci. Technol. Innov. Her. 2010, 25, 253–254.
[19]  Ma, Y.; Liu, F.; Sun, Y. Research on Chinese university-enterprise cooperation networks of patent applications. Study Sci. Sci. 2011, 29, 390–394.
[20]  Lei, T.; Chen, X. Network map analysis of university-firm’s co-application for patents. Sci. Res. Manag. 2011, 32, 67–73.
[21]  Liu, F.; Ma, R.; Jiang, N. Research on evolutionary paths of industry-university-research institute networks of patent collaboration based on the “985 Universities”. China Soft Sci. 2011, 7, 178–192.
[22]  Chen, Y.; Fang, S. Methods of Social Network Analysis on Patent Assignees’ Correlation Networks. Doc. Inf. Knowl. 2011, 3, 58–66.
[23]  Powell, W.; Koput, K.; Smith, L. Interorganizational collaboration and the locus of innovation: Networks of learning in biotechnology. Adm. Sci. Q. 1996, 41, 116–145, doi:10.2307/2393988.
[24]  Watts, D. Networks, dynamics, and the small-world phenomenon. Am. J. Sociol. 1999, 105, 493–527.
[25]  Amaral, L.; Scala, A.; Barthelemy, M.; Stanley, H. Classes of small-world networks. Proc. Natl. Acad. Sci. USA 2002, 97, 11149–11152.
[26]  Kogut, B.; Walker, G. The small world of Germany and the durability of national networks. Am. Sociol. Rev. 2001, 66, 317–335, doi:10.2307/3088882.
[27]  Newman, M. The structure of scientific collaboration networks. Proc. Natl. Acad. Sci. USA 2001, 98, 404–409, doi:10.1073/pnas.98.2.404.
[28]  Watts, D.; Dodds, P.; Newman, M. Identity and search in social net-works. Science 2002, 296, 1302–1305, doi:10.1126/science.1070120.

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133

WeChat 1538708413