Customer satisfaction is an important goal for providers of both services and products, and customer surveys are a commonly used instrument for evaluating that satisfaction. A number of analytical tools are available to assist in the analysis of these surveys. However, under a variety of circumstances, each of these tools has limitations that could seriously restrict their value to marketing managers. This paper describes an innovative approach based on the use of fuzzy-rule-based systems and includes an illustration of the use of the methodology to analyse a customer satisfaction survey conducted by the corporate information division of a major US electric utility.Journal of Database Marketing & Customer Strategy Management (2008) 15, 91–105. doi:10.1057/dbm.2008.2; published online 12 May 2008 [ABSTRACT FROM AUTHOR]
CITATION STYLE
Ammar, S., Moore, D., & Wright, R. (2008). Analysing customer satisfaction surveys using a fuzzy rule-based decision support system: Enhancing customer relationship management. Journal of Database Marketing & Customer Strategy Management, 15(2), 91–105. https://doi.org/10.1057/dbm.2008.2
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