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