Preference clustering in customer satisfaction measurement

Jacob Kjær Eskildsen, Kai Kristensen

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Abstract

The scope of this paper is to analyze whether or not segments with different customer preferences and customer satisfaction can be identified. This analysis is based on customer satisfaction data from the Danish banking industry from the years 2004 and 2005. The analysis showed that the preference structures in the segments are not the same for large and small banks indicating that these banks operate under slightly different market conditions.
Original languageEnglish
Title of host publicationPerformance Measurement and Management 2006: Public and Private : Papers from the Fifth International Conference on Performance Measurement and Management
EditorsAndy Neely, Mike Kennerley, Angela Walters
Number of pages8
PublisherCranfield School of Management
Publication date2006
Pages241-248
Publication statusPublished - 2006
EventPerformance Measurement and Management 2006: Public and Private - London, UK
Duration: 25 Jul 200628 Jul 2006

Conference

ConferencePerformance Measurement and Management 2006: Public and Private
CityLondon, UK
Period25/07/200628/07/2006

Keywords

  • Customer satisfaction

Fingerprint

Dive into the research topics of 'Preference clustering in customer satisfaction measurement'. Together they form a unique fingerprint.

Cite this