DocumentCode :
2651271
Title :
Research on Manufacturing Corporate Environmental Strategies in China Based on SOM Neural Network
Author :
Jin-yan, SANG ; Ying-hua, ZHANG ; Zhen-fa, QI
Author_Institution :
Tianjin Univ. of Finance & Econ., Tianjin
fYear :
2007
fDate :
20-22 Aug. 2007
Firstpage :
784
Lastpage :
789
Abstract :
Corporate environmental strategy is a gross plan to solve environmental problems. Being significant entities which influenced resource and environment, manufacturing corporations should be part of society in harmony. Effectual classification and suggestion are useful to guide firms toward sustainable development .We clustering analyzed the manufacturing corporate environmental strategies using the self-organized feature map (SOM) neural network. We found that there are four different types among the corporations, which are leaden follower, beginner and laggard. Specific policy suggestions for each firm type are made. We should give priority and encourage to the first and second classes. And we have to guide and control the third and fourth classes. The Research showed that the framework was suitable in reflecting corporate environmental strategy. The method is recommendable for analogous problems.
Keywords :
self-organising feature maps; SOM neural network; clustering analysis; manufacturing corporate environmental strategies; self-organized feature map; Conference management; Economic forecasting; Engineering management; Environmental economics; Environmental management; Financial management; Manufacturing; Neural networks; Neurons; Technology management; SOM neural network; clustering analysis; environmental strategies; manufacturing corporation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering, 2007. ICMSE 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-7-88358-080-5
Electronic_ISBN :
978-7-88358-080-5
Type :
conf
DOI :
10.1109/ICMSE.2007.4421941
Filename :
4421941
Link To Document :
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