Study of Industry Clusters´ Learning Mechanism from a Knowledge Supply Chain Perspective

Author

Qun, Wu

Author_Institution

Res. Center of Cluster & Enterprise Dev., Jiangxi Univ. of Finance & Econ., Nanchang, China

Volume

3

fYear

2010

fDate

11-12 May 2010

Firstpage

425

Lastpage

427

Abstract

Cluster learning is an important way for enterprises to achieve innovation ability in industrial clusters. Companies are required to learn from similar enterprises, suppliers, consumers, and even to universities and research institutes in order to gain advantage in the fierce competitive market. Clusters spillover effects play important role to enhance cluster enterprises´ innovation and regional competitiveness. This paper discussed the learning mechanism of enterprises in clusters from knowledge supply chain perspective.

Keywords

learning (artificial intelligence); pattern clustering; supply chain management; cluster enterprises; clusters spillover effects; competitive market; industry clusters learning mechanism; innovation ability; knowledge supply chain perspective; regional competitiveness; Companies; Computer industry; Cost function; Industrial economics; Learning systems; Manufacturing industries; Outsourcing; Production; Supply chains; Technological innovation; Industry Cluster; Knowledge Supply Chain; Learning Mechanism;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-7279-6

Electronic_ISBN

978-1-4244-7280-2

Type

conf

DOI

10.1109/ICICTA.2010.847

Filename

5522823