DocumentCode
2547103
Title
An e-commerce dynamic pricing strategy for C2C and B2C modes
Author
Meng, Qingqiang ; Han, Xue ; Yu, Dongmin
Author_Institution
Dept. of Econ. & Manage., North China Inst. of Aerosp. Eng., Langfang, China
fYear
2010
fDate
16-18 April 2010
Firstpage
467
Lastpage
470
Abstract
With the development of Internet, more and more firms adopt dynamic pricing as a valid method to maximize their profit, especially, when the demand is uncertainty. But on the other hand, the consumers become cleverer than before. Customers behave strategically and weigh their payoff of immediate purchase against the expected payoff of delaying their purchases. In this paper, we use a dynamic pricing model for e-commerce based on data mining into the pricing mechanisms of TaoBao, and discuss the application of the model in C2C and B2C modes.
Keywords
Internet; data mining; electronic commerce; pricing; B2C modes; C2C modes; Internet; TaoBao pricing mechanisms; data mining; dynamic pricing strategy; e-commerce; Aerodynamics; Aerospace engineering; Data mining; Decision making; Delay; Electronic commerce; Engineering management; Internet; Pricing; Uncertainty; TaoBao; data mining; dynamic pricing model; e-commerce;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5263-7
Electronic_ISBN
978-1-4244-5265-1
Type
conf
DOI
10.1109/ICIME.2010.5477765
Filename
5477765
Link To Document