Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA

Erkan Bayraktar, Ekrem Tatoglu, Ali Turkyilmaz, Dursun Delen, Selim Zaim

Research output: Contribution to journalArticle

68 Citations (Scopus)

Abstract

The concept of customer satisfaction and loyalty (CS&L) has attracted much attention in recent years. A key motivation for the fast growing emphasis on CS&L can be attributed to the fact that higher customer satisfaction and loyalty can lead to stronger competitive position resulting in larger market share and profitability. Using a data envelopment analysis (DEA) approach, in this study we analyzed and compared CS&L efficiency for mobile phone brands in an emerging telecommunication market, Turkey. The constructs of European Customer Satisfaction Index (ECSI) model are treated and used as input and output indicators of our DEA model. Drawing on the perceptual responses of 251 mobile phone users, the DEA models reveal that from the top six mobile phone brands in Turkey, Nokia features as the most efficient brand followed by LG and Sonny Ericsson in terms of CS&L efficiency, while Motorola, Samsung and Panasonic rank as the least efficient brands.

Original languageEnglish
Pages (from-to)99-106
Number of pages8
JournalExpert Systems with Applications
Volume39
Issue number1
DOIs
StatePublished - 1 Jan 2012
Externally publishedYes

Fingerprint

Data envelopment analysis
Customer satisfaction
Mobile phones
Telecommunication
Profitability

Keywords

  • Customer loyalty
  • Customer satisfaction
  • DEA
  • Mobile phone sector
  • Turkey

Cite this

Bayraktar, Erkan ; Tatoglu, Ekrem ; Turkyilmaz, Ali ; Delen, Dursun ; Zaim, Selim. / Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA. In: Expert Systems with Applications. 2012 ; Vol. 39, No. 1. pp. 99-106.
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Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA. / Bayraktar, Erkan; Tatoglu, Ekrem; Turkyilmaz, Ali; Delen, Dursun; Zaim, Selim.

In: Expert Systems with Applications, Vol. 39, No. 1, 01.01.2012, p. 99-106.

Research output: Contribution to journalArticle

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