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
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;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.228