The impact of perceived service quality on customers’ repurchase intention: Mediation effect of price perception

  • Received April 22, 2022;
    Accepted August 19, 2022;
    Published October 10, 2022
  • Author(s)
    Omar Salem
    ORCID ,
    Marietta Kiss
    ORCID
  • DOI
    http://dx.doi.org/10.21511/im.18(4).2022.01
  • Article Info
    Volume 18 2022, Issue #4, pp. 1-12
  • TO CITE АНОТАЦІЯ
  • Cited by
    1 articles
  • 1000 Views
  • 437 Downloads

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

The Internet service sector is characterized as highly competitive, so Internet service providers have to seek ways to offer high-quality services to customers. This study measured the impact of perceived service quality on the repurchase intention of customers with the mediating impact of customers’ price perception. Data were gathered by surveying 405 customers of Internet service providers in Amman (Jordan) using the snowball sampling technique; the questionnaire was shared through social medias. Data were analyzed using factor analysis, regression, path analysis, and structural equation modeling (SEM). The results indicate that service quality factors represented by perceived service quality significantly affect customers’ repurchase intention and price perception (p-value is less than 0.05). Furthermore, price perception partially mediates the relationship between perceived service quality and customers’ repurchase intention, with an estimated power of 0.136. Thus far, the mediating variable that explains and predicts the relationship between perceived service quality and customers’ repurchase intention has been overlooked in the extant literature. Therefore, this study employs the role of price perception as a mediator variable. In addition, it provided an accurate assessment of customers’ perceptions of service quality of Internet providers in Amman (Jordan).

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    • Figure 1. Study Model
    • Table 1. Descriptive analysis
    • Table 2. Rotated component matrix
    • Table 3. Reliability test
    • Table 4. Correlations
    • Table 5. Regression results (perceived service quality and customers’ repurchase intention)
    • Table 6. Regression results (perceived service quality and price perception)
    • Table 7. Regression results (price perception and customers’ repurchase intention)
    • Table 8. Regression weights and mediation analysis
    • Table A1. The questionnaire items
    • Conceptualization
      Omar Salem, Marietta Kiss
    • Data curation
      Omar Salem
    • Formal Analysis
      Omar Salem
    • Funding acquisition
      Omar Salem
    • Investigation
      Omar Salem
    • Methodology
      Omar Salem
    • Project administration
      Omar Salem
    • Resources
      Omar Salem, Marietta Kiss
    • Software
      Omar Salem
    • Supervision
      Omar Salem, Marietta Kiss
    • Validation
      Omar Salem
    • Visualization
      Omar Salem
    • Writing – original draft
      Omar Salem
    • Writing – review & editing
      Omar Salem, Marietta Kiss
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