Analysis of a customer satisfaction survey using Rough Sets theory: A manufacturing case in Taiwan
Asia Pacific Journal of Marketing and Logistics
ISSN: 1355-5855
Article publication date: 9 January 2009
Abstract
Purpose
This paper seeks to present the use of Rough Sets (RS) theory as a processing method to improve the results in customer satisfaction survey applications.
Design/methodology/approach
The research methodology is to apply an innovative tool to discover knowledge on customer behavior patterns instead of using conventional statistical methods. The RS theory was applied to discover the voice of customers in market research. The collected data contained 422 records. Each record included 20 condition attributes as well as two decision attributes. The important attributes that ensured high quality of classification were generated first. Then decision rules for classifying high and low overall satisfaction and loyalty categories were derived.
Findings
Three important facts were found: the important product and service attributes that lead to overall satisfaction and loyalty; the percentage of latently dissatisfied customers; and customer decision rules.
Research limitations/implications
The study is limited by the case company and its experience. These rules were presented to the company's sales and marketing managers who believed that they provided them with valuable information for creating strategies to increase customer satisfaction and retention.
Originality/value
RS theory provides a mathematical tool to discover patterns hidden in survey data. The paper describes a new attempt of applying a RS‐based method to analyze overall customer satisfaction and loyalty behavior through regular satisfaction questionnaire surveys.
Keywords
Citation
Chen, W. (2009), "Analysis of a customer satisfaction survey using Rough Sets theory: A manufacturing case in Taiwan", Asia Pacific Journal of Marketing and Logistics, Vol. 21 No. 1, pp. 93-105. https://doi.org/10.1108/13555850910926263
Publisher
:Emerald Group Publishing Limited
Copyright © 2009, Emerald Group Publishing Limited