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
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;
Conference_Titel :
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-61284-108-3
DOI :
10.1109/ICBMEI.2011.5920543
