DocumentCode :
495055
Title :
Evaluation on the Influence of Corporate Culture Based on BP Neural Network
Author :
Wang, Qiwan
Author_Institution :
Sch. of Manage., Xuzhou Inst. of Technol., Xuzhou, China
Volume :
2
fYear :
2009
fDate :
21-22 May 2009
Firstpage :
79
Lastpage :
82
Abstract :
In this paper, the BP neural network method and software related are used to evaluate the influence of corporate culture, in order to provide decision-making basis for business management. The evaluation on the running culture system of enterprises facilitates managers to adjust strategies and tactics and maintain the effectiveness of the cultural development. In this paper, an evaluation system on the influence of corporate culture is first established, and then the BP neural network evaluation method is used to evaluate the influence of corporate culture and the statistical data are processed with computer, thus realizing the quantitative evaluation on the influence of corporate culture and providing the enterprise managers with decision-making basis. The results after computer processing are very close to the actual situations, showing that using the BP neural network evaluation method to evaluate the influence of corporate culture is operational and is effective.
Keywords :
backpropagation; commerce; neural nets; organisational aspects; statistical analysis; BP neural network evaluation; business management; corporate culture; cultural development; culture system; decision making basis; evaluation system; statistical data; Computer network management; Computer networks; Conference management; Cultural differences; Decision making; Mathematical model; Multi-layer neural network; Neural networks; Neurons; Technology management; BP neural network; corporate culture; evaluation; index system; influence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
Type :
conf
DOI :
10.1109/ICIC.2009.128
Filename :
5169012
Link To Document :
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