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The effect of the interaction between tariff modulation and transparency on the customer's dissatisfaction: The case of Tunisia

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  • Zrelli, Imen
  • Demnati, Haykel
  • Ben Yedder, Moez

Abstract

The mechanisms whereby the transparency of tariff information counterbalances the dissatisfaction spawned by the application of tariff modulation in competitive service are unclear. This research examines the idea that transparency on tariff information can reduces dissatisfaction due to tariff modulation through both a negative direct effect and a negative moderation of the effect of tariff modulation. A survey was conducted to examine the conceptual model in the hospitality industry in Tunisia. Our results give credit to the proposed model by highlighting the positive impact of transparency on tariff information. Managerial implications are presented and discussed at the end of the paper.

Suggested Citation

  • Zrelli, Imen & Demnati, Haykel & Ben Yedder, Moez, 2019. "The effect of the interaction between tariff modulation and transparency on the customer's dissatisfaction: The case of Tunisia," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 1-10.
    • Handle: RePEc:eee:joreco:v:47:y:2019:i:c:p:1-10
    DOI: 10.1016/j.jretconser.2018.10.004
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    1. Wayne S. DeSarbo & Kamel Jedidi & Indrajit Sinha, 2001. "Customer value analysis in a heterogeneous market," Strategic Management Journal, Wiley Blackwell, vol. 22(9), pages 845-857, September.
    2. Kahneman, Daniel & Knetsch, Jack L & Thaler, Richard H, 1986. "Fairness and the Assumptions of Economics," The Journal of Business, University of Chicago Press, vol. 59(4), pages 285-300, October.
    3. Pierre Desmet, 2000. "Politiques de prix sur Internet," Post-Print halshs-00143411, HAL.
    4. Oliver, Richard L & DeSarbo, Wayne S, 1988. "Response Determinants in Satisfaction Judgments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(4), pages 495-507, March.
    5. Asim Ansari & Kamel Jedidi & Sharan Jagpal, 2000. "A Hierarchical Bayesian Methodology for Treating Heterogeneity in Structural Equation Models," Marketing Science, INFORMS, vol. 19(4), pages 328-347, August.
    6. Zhang, Juan & Gou, Qinglong & Liang, Liang & Huang, Zhimin, 2013. "Supply chain coordination through cooperative advertising with reference price effect," Omega, Elsevier, vol. 41(2), pages 345-353.
    7. Arbore, Alessandro & Busacca, Bruno, 2009. "Customer satisfaction and dissatisfaction in retail banking: Exploring the asymmetric impact of attribute performances," Journal of Retailing and Consumer Services, Elsevier, vol. 16(4), pages 271-280.
    8. Hans Baumgartner & Richard P. Bagozzi, 1995. "Specification, Estimation, and Testing of Moment Structure Models Based on Latent Variates Involving Interactions among the Exogenous Constructs," Sociological Methods & Research, , vol. 24(2), pages 187-213, November.
    9. Jean-Charles Hourcade & Michel Colombier, 1989. "Développement des réseaux et modulations spatio-temporelles des tarifs : l'équité territoriale revisitée," Revue Économique, Programme National Persée, vol. 40(4), pages 649-678.
    10. Ferguson, Jodie L. & Brown, Brian P. & Johnston, Wesley J., 2017. "Partitioned pricing, price fairness perceptions, and the moderating effects of brand relationships in SME business markets," Journal of Business Research, Elsevier, vol. 72(C), pages 80-92.
    11. Kamel Jedidi & Harsharanjeet S. Jagpal & Wayne S. DeSarbo, 1997. "Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity," Marketing Science, INFORMS, vol. 16(1), pages 39-59.
    12. Wayne S. DeSarbo & C. Anthony Di Benedetto & Kamel Jedidi & Michael Song, 2006. "Identifying Sources of Heterogeneity for Empirically Deriving Strategic Types: A Constrained Finite-Mixture Structural-Equation Methodology," Management Science, INFORMS, vol. 52(6), pages 909-924, June.
    13. Kristopher J. Preacher & Patrick J. Curran & Daniel J. Bauer, 2006. "Computational Tools for Probing Interactions in Multiple Linear Regression, Multilevel Modeling, and Latent Curve Analysis," Journal of Educational and Behavioral Statistics, , vol. 31(4), pages 437-448, December.
    14. Mittal, Divya & Agrawal, Shiv Ratan, 2016. "Price transparency reflects assurance and reliability," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 43-51.
    15. Jurgen A. Doornik & Henrik Hansen, 2008. "An Omnibus Test for Univariate and Multivariate Normality," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 927-939, December.
    16. William Sabadie, 2003. "Conceptualisation et mesure de la qualité perçue d'un service public," Post-Print halshs-00467927, HAL.
    17. repec:dau:papers:123456789/3224 is not listed on IDEAS
    18. Albert Satorra, 1989. "Alternative test criteria in covariance structure analysis: A unified approach," Psychometrika, Springer;The Psychometric Society, vol. 54(1), pages 131-151, March.
    Full references (including those not matched with items on IDEAS)

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