Modelling customer loyalty in China's smartphone market using effective factors

Yan Sun, Yao Li, Woon Kian Chong, Ka Lok Man

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

The aim of this research is to find out effective factors that can help model customer loyalty in smartphone market in China. This study fills in the current gap with solid understanding of customer loyalty and satisfaction in depth. Online survey was applied for data collection and more than 300 participants got involved in the fieldwork. Twelve hypotheses were proposed and tackled by 26 survey questions. SPSS was employed for data analysis including model build and hypotheses tests. Learnt from the data analysis, satisfaction is the most critical factor that determines the customer loyalty in smartphone market in China. Furthermore, quality, P/P ratio and image are positively related to customer satisfaction. Finally, switching costs and store image are tested to exhibit a significant positive influence on repurchase intention.

Original languageEnglish
Title of host publicationProceedings - 2015 International Conference on Platform Technology and Service, PlatCon 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages19-20
Number of pages2
ISBN (Electronic)9781479918881
DOIs
Publication statusPublished - 3 Apr 2015
Event2015 2nd International Conference on Platform Technology and Service, PlatCon 2015 - Jeju, Korea, Republic of
Duration: 26 Jan 201528 Jan 2015

Publication series

NameProceedings - 2015 International Conference on Platform Technology and Service, PlatCon 2015

Conference

Conference2015 2nd International Conference on Platform Technology and Service, PlatCon 2015
Country/TerritoryKorea, Republic of
CityJeju
Period26/01/1528/01/15

Keywords

  • customer loyalty
  • effective factors
  • modelling

Fingerprint

Dive into the research topics of 'Modelling customer loyalty in China's smartphone market using effective factors'. Together they form a unique fingerprint.

Cite this