Title :
Research on Localized Learning and Knowledge Transfer in Enterprises Cluster
Author_Institution :
Sch. of Econ. & Trade, Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China
Abstract :
In knowledge-based economy, enterprises clusters have been the subject of growing attention based on the role they play in organizational learning and knowledge creation. Our aim is to propose an analytical framework on the inter-firms knowledge transfer in enterprises cluster in perspective of localized learning. Localized learning is based on specialization division and local milieu, which greatly fosters innovation any time it involves a large share of knowledge. Firstly, this paper discusses the influence of geographical proximity on knowledge transfer. Secondly, it analyzes the localized learning mechanism of enterprises cluster. Then, it focuses on some influencing factors of knowledge transfer. Considering the possible risk of localized learning, this paper analyzes the role of global-local linkages in the dynamic capability of enterprises cluster.
Keywords :
knowledge management; learning (artificial intelligence); pattern clustering; enterprises cluster; geographical proximity; global-local linkages; interfirms knowledge transfer; knowledge transfer; knowledge-based economy; localized learning mechanism; organiztional learning; Aerospace industry; Conference management; Data mining; Industrial economics; Knowledge management; Knowledge transfer; Learning systems; Mining industry; Research and development; Technological innovation; competition advantage; enterprises cluster; knowledge transfer; localized learning; tacit knowledge;
Conference_Titel :
Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on
Print_ISBN :
978-1-4244-5397-9
Electronic_ISBN :
978-1-4244-5398-6
DOI :
10.1109/WKDD.2010.55
