DocumentCode :
2486866
Title :
A Seller Selection Model Study Based on Online Credit Analysis in C2C e-Business Environment
Author :
Wu, Shijian ; Wang, Song ; Liu, Xinmin
Author_Institution :
Coll. of Econ. & Manage., Shandong Univ. of Sci. & Technol., Qingdao, China
fYear :
2010
fDate :
22-23 May 2010
Firstpage :
1
Lastpage :
4
Abstract :
Due to the effect of network´s virtuality and other factors, the seller selection problem in C2C environment has been of great concern. Nowadays, C2C sites´ credit systems play a great role on the seller´s selection, but are still insufficient. This article starts from the analysis of the domestic C2C platform´s credit system. Then, the factors that affect seller´s selection is exacted out based on the online credit records. Considering the timing, consumer preferences, and degree of product-related factors, a new seller selection model is given.
Keywords :
Internet; credit transactions; electronic commerce; C2C environment; e-business; network virtuality; online credit analysis; seller selection model; Consumer electronics; Costs; Decision making; Educational institutions; Environmental economics; Environmental management; Safety; Timing; Transportation; Virtual environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Business and Information System Security (EBISS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5893-6
Electronic_ISBN :
978-1-4244-5895-0
Type :
conf
DOI :
10.1109/EBISS.2010.5473693
Filename :
5473693
Link To Document :
بازگشت