The role of the sharia banking service quality in creating customers’ satisfaction and happiness (a survey of state-owned sharia banks in Indonesia)

  • Received August 19, 2019;
    Accepted November 20, 2019;
    Published December 9, 2019
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/bbs.14(4).2019.07
  • Article Info
    Volume 14 2019, Issue #4, pp. 69-77
  • TO CITE АНОТАЦІЯ
  • Cited by
    3 articles
  • 970 Views
  • 221 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

The study aims to explore the effect of the quality of state-owned sharia banks’ services on consumers’ satisfaction and happiness. It contributes to knowledge of marketing management theory and management practices. The expected final effect is that the right quality of customers` service practice can increase customers’ satisfaction and happiness in the Islamic context. The study uses quantitative approach. It relies on primary data obtained from questionnaire results and secondary data in the form of information from state-owned sharia banks including Bank BRI Syariah, Bank BNI Syariah and Bank Syariah Mandiri. The study considers PLS-SEM as the right tool for data analysis. The findings of the study are as follows: 1) only two of seven dimensions of service quality that significantly affect consumers’ satisfaction, are the Islamic Service System and the Responsiveness System, while the remaining effects come from other hypotheses not included in the model; 2) consumers’ satisfaction has a significant effect on consumers` happiness, and the remaining effects come from other concepts that are worth exploring.

view full abstract hide full abstract
    • Figure 1. Path of the causality relationship
    • Table 1. The results of the first convergent validity test
    • Table 2. The results of the second convergent validity test
    • Table 3. The results of the average variance extracted test (AVE)
    • Table 4. The results of the composite reliability test
    • Table 5. Significance value of structural model via bootstrap 250
    • Table 6. R-Square values