• 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