Research on Innovation Performance Evaluation Index System of the Productive Service Industry Cluster Based on the Process of Network Innovation

Article Preview

Abstract:

In this paper, from the perspective of network innovative process, we comes up with the basic assumption, that is, the network innovation can promote absorptive capacity of industrial clusters products so as to improve the innovation performance of the enterprises in cluster. On the basis of this, this paper adopts correlation analysis method to verify the influence extent of productive service industry cluster innovation network on innovation performance. Therefore, we find critical influencing factors of network nodes and set up the innovation performance evaluation index system of productive service industry cluster.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 869-870)

Pages:

856-859

Citation:

Online since:

December 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Jensen, M. The role of network resources in market entry: commercial banks' entry into investment banking. Administrative Science Quarterly, Vol. 48(3)(2003), pp.466-497.

DOI: 10.2307/3556681

Google Scholar

[2] Zhun Zheng, Guoshun Wang. Study on the firm's internationalization mode strategy based on the relational network perspective. East China Economic Management, Vol. 22(4)(2008), pp.70-74.

Google Scholar

[3] Simsek Z, Lubatkinm H, Floyd S W. Inter-firm networks and entrepreneurial behavior-a structural embeddedness perspective. Journal of Management, Vol. 29(3)(2003), pp.427-442.

DOI: 10.1016/s0149-2063_03_00018-7

Google Scholar

[4] GULATIR, NOHRIA N, ZAHEER A. Strategic networks. Strategic Management Journal, (2)(2000), pp.203-215.

Google Scholar

[5] Linyan Li. A new image of social space: a structural version on the analyses of social network. Social Science Research, (3)(2004), pp.64-75.

Google Scholar

[6] YAMAWAKIH. The evolution and structure of industrial clusters in Japan. Small Business Economic, (18)(2002), pp.121-140.

Google Scholar

[7] WETERINGS A, BOSCHMA R. Does spatial proximity to customers matter for innovative performance? Evidence from the dutch software sector. Research policy, Vol. 38(5)(2009), pp.746-755.

DOI: 10.1016/j.respol.2008.12.011

Google Scholar

[8] Martin kidulff, Wenpin Tsai. Social networks and organization. Sage Publication Ltd(2003).

Google Scholar

[9] WANG Fei-rong, CHEN Wen-bing. Empirical study on leadership and innovation performance based on organizational learning. Studies in Science of Science, Vol. 30(6)(2012), pp.943-949.

Google Scholar

[10] PAN Rui-yu. Empirical study of supply chain knowledge coordination and clustered firm's innovation performance—based on organizational learning capability. Journal of Business Economics, (4)(2013), pp.89-97.

Google Scholar