DocumentCode :
536043
Title :
Risk evaluation of implementation of ERP system: A study based on the BP neural network
Author :
Huanchun, Yang ; Gueihua, Nie
Author_Institution :
Coll. of Manage., Wuhan Univ. of Technol., Wuhan, China
Volume :
1
fYear :
2010
fDate :
9-10 Oct. 2010
Firstpage :
373
Lastpage :
376
Abstract :
The appliance of ERP System is a project with high risk and high investment, and there are various risks in the whole process of implementation. Firstly, this paper proposed and analyzed eight types of risks of ERP system implementation, namely, implementation purpose, need analysis, process reorganization, software selection, basic data, implementation organization, external environment and system security; and then this paper established evaluation model for neural network-based ERP system implementation on the basis of eight risk factors.
Keywords :
backpropagation; enterprise resource planning; investment; neural nets; organisational aspects; production engineering computing; risk analysis; BP neural network; ERP system; implementation purpose; need analysis; process reorganization; risk evaluation; software selection; system security; MATLAB; Mathematical model; Neural networks; BP neural network; ERP system; implementation risk; risk assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location :
Changzhou
Print_ISBN :
978-1-4244-9087-5
Type :
conf
DOI :
10.1109/FITME.2010.5656322
Filename :
5656322
Link To Document :
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