• DocumentCode
    2900548
  • Title

    Customer Satisfaction Index Assessment Based on Cloud Computing

  • Author

    Xiong, Li ; Tong, Hengqing

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-14 Dec. 2009
  • Firstpage
    330
  • Lastpage
    333
  • Abstract
    Customer satisfaction index (CSI) containing economic quality information has become a heated topic in new economic era. How to assess CSI is very important to a country as well as an enterprise. Structure equation model (SEM) is a popular method to analyze CSI. In this paper, we first analyze the observation equations in SEM and find the least square relationship between each structural variable and its observation variables. Then we obtain the modular constraint least square (MCLS) solution of SEM by adding a constraint with modular length to the structural variable. The algorithm is definite without convergence problem and the solution is unique. Furthermore, combining cloud computing technology, we construct a CSI assessment system based on cloud computing.
  • Keywords
    customer satisfaction; economics; least mean squares methods; cloud computing; customer satisfaction index assessment; economic quality information; enterprise; modular constraint least square solution; structure equation model; Cloud computing; Computational intelligence; Computer science; Covariance matrix; Customer satisfaction; Equations; Globalization; Least squares methods; Mathematics; Numerical analysis; CSI; SEM; SaaS; cloud computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-0-7695-3865-5
  • Type

    conf

  • DOI
    10.1109/ISCID.2009.228
  • Filename
    5368477