Title :
Study of Industry Clusters´ Learning Mechanism from a Knowledge Supply Chain Perspective
Author_Institution :
Res. Center of Cluster & Enterprise Dev., Jiangxi Univ. of Finance & Econ., Nanchang, China
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;
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
DOI :
10.1109/ICICTA.2010.847
