The Determinants of Customers’ Loyalities of Smartphone

  • I Putu Eka N. Kencana Tourism Research Consortium – Ministry of Research, Technology, and Higher Education Republic of Indonesia
  • Gede Satria Suputra Department of Mathematics, Faculty of Mathematics and Natural Sciences, Udayana University

Abstract

This research aimed to study the effect of brand image, users’ expectation, and users’ satisfaction  as the determinants for users’ loyalties of Samsung Smartphone by applying Partial Least Square–Structural Equation Modeling (PLS-SEM) method. Data gathered from 100 Samsung smartphone users at Denpasar, Indonesia were collected using questionnaires with 5 Likert’s scales during February–May 2015.  The results showed users’ loyalties was significantly affected by image of Samsung and users’ expectation.  The path coefficients for these causal relationships were 0.533 and -0.230 respectively, demonstrated images’ effect very dominant in forming users’ loyalties.  In addition, products’ image significantly affect users’ satisfaction, but user’s satisfaction did not significantly affect users’ loyalties. The final model had Goodness-of-Fit (GoF) index as much as 0.495 shows the model was sufficient to use for elaborating the relationship between contracts.

Downloads

Download data is not yet available.

Author Biographies

I Putu Eka N. Kencana, Tourism Research Consortium – Ministry of Research, Technology, and Higher Education Republic of Indonesia

Tourism Research Consortium – Ministry of Research, Technology, and Higher Education Republic of Indonesia

Gede Satria Suputra, Department of Mathematics, Faculty of Mathematics and Natural Sciences, Udayana University

Department of Mathematics, Faculty of Mathematics and Natural Sciences, Udayana University

Published
2015-12-30
How to Cite
KENCANA, I Putu Eka N.; SUPUTRA, Gede Satria. The Determinants of Customers’ Loyalities of Smartphone. Jurnal Matematika, [S.l.], v. 5, n. 2, p. 92-104, dec. 2015. ISSN 2655-0016. Available at: <https://ojs.unud.ac.id/index.php/jmat/article/view/21600>. Date accessed: 19 nov. 2024. doi: https://doi.org/10.24843/JMAT.2015.v05.i02.p59.
Section
Articles

Keywords

customers survey; PLS-SEM; smartphone; structural model