• DocumentCode
    2742849
  • Title

    Applying Grey Relational Analysis to Assess The Relationship Among Service Quality Customer Satisfaction and Customer Loyalty

  • Author

    Kung, Chaang-Yung ; Yan, Tzung-Ming ; Chuang, Shih-Chieh ; Wang, Jee-Ray

  • Author_Institution
    Dept. of Bus. Adm., Chaoyang Univ. of Technol., Taichung
  • fYear
    2006
  • fDate
    7-9 June 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this study, the mobile communications industries are taken by the researcher as the objects. The present study applied grey relational method to analyze the relationships among service quality, customer satisfaction and customer loyalty. As the research result reveals, high service quality may further promote customer satisfaction. In addition, customer satisfaction and customer loyalty are examined to be positively related. It is examined further that responsiveness and empathy play important roles in promoting customer satisfaction and customer loyalty. In terms of the research method, grey relational analysis only needs small samples. Smaller data can obtain good results; moreover, calculating method is simple. It is also easy to manipulate grey relational analysis, in that it can make up for drawbacks of conventional statistic method that needs larger samples
  • Keywords
    customer satisfaction; grey systems; marketing; mobile communication; quality of service; customer loyalty; customer satisfaction; grey relational analysis; mobile communications industries; service quality; Automation; Business communication; Chaotic communication; Communication industry; Customer satisfaction; Delay; Finance; Industrial relations; Insurance; Mobile communication; customer loyalty; customer satisfaction; grey relational analysis; service quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems, 2006 IEEE Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    1-4244-0023-6
  • Type

    conf

  • DOI
    10.1109/ICCIS.2006.252323
  • Filename
    4017882