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Applying knowledge engineering techniques to customer analysis in the service industry

Research output: Contribution to journalArticlepeer-review

57 Scopus citations

Abstract

Using the customer relationship management perspective to investigate customer behavior, this study differentiates between customers through customer segmentation, tracks customer shifts from segment to segment over time, discovers customer segment knowledge to build an individual transition path and a dominant transition path, and then predicts customer segment behavior patterns. By using real-world data, this study evaluates the accuracy of predictive models. The concluding remarks discuss future research in this area.

Original languageEnglish
Pages (from-to)293-301
Number of pages9
JournalAdvanced Engineering Informatics
Volume21
Issue number3
DOIs
StatePublished - Jul 2007

Keywords

  • Customer analysis
  • Customer relationship management
  • Data mining
  • Knowledge engineering
  • Segmentation

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