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
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