DocumentCode
2729064
Title
Notice of Retraction
Study of influence factors of customer satisfaction based on BP neural network
Author
Zhou Li ; Wu Qi Zong
Author_Institution
Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing, China
fYear
2011
fDate
15-17 July 2011
Firstpage
409
Lastpage
411
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Factors that influence customer satisfaction degree are concerned by all enterprise managers. This paper proposes a method for evaluating the importance of influence factors based on BP neural network. The method is employed to calculate customer satisfaction influence factors of a super-market, based on questionnaires. Results show that shopping convenience is the most important factor, while shopping and product safety is a must-be factor. Importance of other factors is also given.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Factors that influence customer satisfaction degree are concerned by all enterprise managers. This paper proposes a method for evaluating the importance of influence factors based on BP neural network. The method is employed to calculate customer satisfaction influence factors of a super-market, based on questionnaires. Results show that shopping convenience is the most important factor, while shopping and product safety is a must-be factor. Importance of other factors is also given.
Keywords
backpropagation; customer satisfaction; neural nets; BP neural network; customer satisfaction influence factors; enterprise managers; product safety; super market; Artificial neural networks; Biological neural networks; Customer satisfaction; Mathematical model; Neurons; Safety; Training; BP neural network; customer satisfaction; influence factors; weight-spectrum;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-9699-0
Type
conf
DOI
10.1109/ICSESS.2011.5982339
Filename
5982339
Link To Document