DocumentCode :
3500759
Title :
Population interaction model applied in lateral coopetition relations of cluster supply chain
Author :
Yan, Bo ; Huang, Yehua ; Li, Jie
Author_Institution :
Sch. of Econ. & Commerce, South China Univ. of Technol., Guangzhou, China
Volume :
4
fYear :
2009
fDate :
8-9 Aug. 2009
Firstpage :
174
Lastpage :
177
Abstract :
This article, studying the lateral competition relations of cluster supply chain between enterprises from the perspective of population ecology theory, will apply population ecology theory to the research in the field of cluster supply chain system, which is of great significance to the exploration of the construction of basic theory of inter-enterprise cluster supply chain relationship under the set theory group of eco-based organizations; This article identifies the motivation of enterprise cooperation and competition in industrial clusters from the perspective of population ecology, and proposes corresponding relationship patterns between cooperation and competition for various enterprises in industrial clusters, from which we could further have a profound understanding theoretically of a variety of patterns of competition between enterprises.
Keywords :
ecology; environmental management; organisational aspects; supply chain management; cluster supply chain system; eco-based organizations; enterprise cooperation; environmental factors; industrial clusters; lateral competition relation; organizational competition; population ecology theory; population interaction model; Biological system modeling; Business; Construction industry; Economic forecasting; Ecosystems; Environmental factors; Government; Industrial relations; Mathematical model; Supply chains; cluster supply chain; coopetition relationship; mutually beneficial model competing model; population interaction model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4247-8
Type :
conf
DOI :
10.1109/CCCM.2009.5267762
Filename :
5267762
Link To Document :
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