DocumentCode :
2399925
Title :
Plotting out Relationship Stage between Online Stores and their Customers: Based on Behavioral, Psychological and Combined Criterion
Author :
Yufang Jin ; Xiaobing Song
Author_Institution :
Sch. of Manage., DaLian Univ. of Technol. DUT, Dalian, China
fYear :
2010
fDate :
7-9 May 2010
Firstpage :
3119
Lastpage :
3122
Abstract :
It´s necessary for an on-line firm developing relationship to identify the relationship stage where a customer is and take different tactics depend on the stage. Most existing researches describe the characters of different stage qualitatively. Quantitative criterions are seldom explored. So, it´s hard for firm to practice and for researchers to conduct empirical research depend on different stage. This paper plots out and compares relationship stage through K-means Cluster analysis, ANOVA and discriminate analysis. It shows that the mix of behavioral variables (including times and length) and psychological variables (commitment and loyalty) could plot out relationship stage well. This is meaningful for practice and research in relationship marketing.
Keywords :
Internet; pattern clustering; retail data processing; ANOVA analysis; behavioral criterion; behavioral variables; combined criterion; customers; discriminate analysis; k-means cluster analysis; online firm developing relationship; online stores; plotting out relationship stage; psychological criterion; psychological variables; relationship marketing; Analysis of variance; Educational institutions; Forecasting; Gallium nitride; Investments; Psychology; plotting out relationship stage; relationship marketing; relationship stage;
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.2010.786
Filename :
5590827
Link To Document :
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