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Successful loyalty in e-complaints: FsQCA and structural equation modeling analyses

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  • Urueña, Alberto
  • Hidalgo, Antonio

Abstract

This study analyzes antecedents of customer loyalty following complaint behavior in business-to-consumer (B2C) e-commerce. The study uses structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to test relationships among distributive, interactional, and procedural justice, positive and negative emotions, satisfaction with service recovery, and trust. Justification for the use of both methods lies in the complementarity and interdependent relationships that exist between the variables. The sample comprises 303 e-commerce users who lodge complaints after making online purchases. Results highlight the importance of procedural and interactional justice, positive emotions, and satisfaction with service recovery.

Suggested Citation

  • Urueña, Alberto & Hidalgo, Antonio, 2016. "Successful loyalty in e-complaints: FsQCA and structural equation modeling analyses," Journal of Business Research, Elsevier, vol. 69(4), pages 1384-1389.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:4:p:1384-1389
    DOI: 10.1016/j.jbusres.2015.10.112
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    9. Adrian MICU & Marius GERU & Angela-Eliza MICU, 2017. "Developing Customer Trust in E-Commerce Using Inbound Marketing Strategies," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 522-531.
    10. Honora, Andreawan & Chih, Wen-Hai & Wang, Kai-Yu, 2022. "Managing social media recovery: The important role of service recovery transparency in retaining customers," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
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    Keywords

    Justice; Trust; Emotions; Loyalty; SEM; FsQCA;
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