DocumentCode :
2405375
Title :
Research on User Groups Features of Mobile Payment: An Empirical Analysis Based on Association Rules of Data Mining
Author :
Li, Jian-Min ; Wang, Xiao-Ding
Author_Institution :
Bus. Sch., Centre South Univ., Changsha, China
fYear :
2010
fDate :
7-9 May 2010
Firstpage :
129
Lastpage :
134
Abstract :
For quickly locating the specific user groups in the mobile payment market, this paper investigates and analyzes the Mobile Ticketing in mobile payment service from five main aspects, the users awareness, demand, usage, using willingness and users evaluation. We use data mining methods of association rules to do analysis to 1615 valid questionnaires and locate the user groups who are most likely to use Mobile Ticketing, so as to help the Communication Carriers to lock the target customers market precisely and quickly at the beginning of promotional period of Mobile Payment. The results show that mobile payment market, especially mobile ticketing, is still in the early stage, the users are with low awareness, the potential user groups are very big, the users who are willing to use mobile payment services are mostly concentrate in young user groups with high spending monthly and high education.
Keywords :
data mining; financial data processing; mobile computing; association rules; data mining; mobile payment market; mobile payment service; mobile ticketing; user groups feature; Association rules; Business; Educational institutions; Mobile communication; Mobile handsets; Motion pictures; apriority algorithm; association rules; mobile payment; mobile ticketing; user groups;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
Type :
conf
DOI :
10.1109/ICEE.2010.40
Filename :
5591127
Link To Document :
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