IDEAS home Printed from https://ideas.repec.org/a/taf/servic/v38y2018i15-16p1160-1178.html
   My bibliography  Save this article

Modeling e-loyalty: a moderated-mediation model

Author

Listed:
  • Chieh-Peng Lin
  • Chou-Kang Chiu
  • Chu-Mei Liu
  • Kuang-Jung Chen
  • Chieh-Yu Hsiao

Abstract

This work proposes a research model that elaborates upon the development of e-loyalty based on the signaling theory and attachment theory. In the model, e-loyalty is indirectly related to both visual appeal and an e-tailer’s service reputation through the full mediation of trust and affection. At the same time, the relationships between trust and e-loyalty and between affection and e-loyalty are hypothetically moderated by an e-tailer’s service reputation. The proposed hypotheses of this research were empirically tested using data from working professionals in high-tech firms in terms of online retailing. This study surveyed the same research participants at two different time points, one month apart, to verify the theoretical inferences. The empirical findings herein complement the previous literature by presenting how visual appeal and an e-tailer’s service reputation simultaneously influence e-loyalty through various mediating and moderating mechanisms.

Suggested Citation

  • Chieh-Peng Lin & Chou-Kang Chiu & Chu-Mei Liu & Kuang-Jung Chen & Chieh-Yu Hsiao, 2018. "Modeling e-loyalty: a moderated-mediation model," The Service Industries Journal, Taylor & Francis Journals, vol. 38(15-16), pages 1160-1178, December.
    • Handle: RePEc:taf:servic:v:38:y:2018:i:15-16:p:1160-1178
    DOI: 10.1080/02642069.2018.1433165
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02642069.2018.1433165
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02642069.2018.1433165?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:servic:v:38:y:2018:i:15-16:p:1160-1178. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/FSIJ20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.