Title :
The study of customer system robustness based on the negative word-of-mouth
Author_Institution :
Coll. of Econ., Harbin Univ. of Sci. & Technol., Harbin, China
Abstract :
The purpose of this paper is to study the robustness of customer system under the influences of negative word-of-mouth. In defining the combination of total customers of a business organization as customer system, the aggregate behavior of the system is simulated by the cellular automation model. It is found that the robustness of customer system is affect mainly by the closeness of information contact among the subunits and the customer satisfaction as well as it is confirmed that customer system will evaluate to the criticality state in certain condition. The practice implication on the decision of customer retention is discussed on the basis on findings.
Keywords :
cellular automata; customer satisfaction; marketing data processing; business organization; cellular automation model; customer retention; customer satisfaction; customer system robustness; information contact; negative word-of-mouth; Adaptive systems; Automation; Chaos; Computer crashes; Robustness; System-on-a-chip; Time frequency analysis; Robustness of customer system; cellular automation; negative word-of-mouth; self-organized criticality;
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-61284-446-6
DOI :
10.1109/ICIEEM.2011.6035154