DocumentCode
1860387
Title
Empirical analysis of evaluation for enterprise ERP performance based on BP neural network
Author
Yi Jin-yan ; Mei Qiang
Author_Institution
Nan xu Inst., Jiangsu Univ. of Sci. & Technol., Zhengjiang, China
Volume
3
fYear
2011
fDate
13-15 May 2011
Firstpage
678
Lastpage
683
Abstract
The wrong information will be provided to upper management for making policies if the design of enterprise ERP implementation and performance evaluation index is unscientifec. In this paper, based on balanced scorecard theory, a enterprise ERP implementation and performance evaluation index was founded, and mainly introduced the methods and procedures of the ERP performance evaluation model established by BP neural network principle,and taking 20 small and medium enterprises in ZhenJiang which is locate in JiangSu province as samples for training and testing,using the trained BP neural network to test the ERP performance evaluation and simulation predictions of the implementation of ERP in enterprises. The results are satisfactory.
Keywords
backpropagation; enterprise resource planning; neural nets; performance index; small-to-medium enterprises; BP neural network; balanced scorecard theory; design of enterprise; enterprise ERP performance; medium enterprise; performance evaluation index; policy making; small enterprise; Artificial neural networks; Business; Indexes; Marketing and sales; Neurons; Performance evaluation; Training; BP Neural Netork; ERP; performance evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-61284-108-3
Type
conf
DOI
10.1109/ICBMEI.2011.5920543
Filename
5920543
Link To Document