IDEAS home Printed from https://ideas.repec.org/a/taf/mimoxx/v47y2017i3p220-239.html
   My bibliography  Save this article

How Does Reputation Win Trust? A Customer-Based Mediation Analysis

Author

Listed:
  • Raza Ali
  • Zhongqi Jin
  • Kailin Wu
  • T. C. Melewar

Abstract

This study investigates the relationship between customer-based corporate reputation (CBR) and customer trust, in particular, the mediating role of customer perceived risk in this relationship. We propose and test a model comprising of four components: cognitive CBR, affective CBR, customer perceived risk and customer trust using a sample of 156 customers from the fast-food services industry in Pakistan. The results suggest that the cognitive and affective dimensions of CBR behave differently in developing customer trust. Affective CBR has a direct positive relationship with customer trust; whereas, customer perceived risk and affective CBR mediate the relationship between cognitive CBR and customer trust. Implications for research and practice are proposed based on the study results.

Suggested Citation

  • Raza Ali & Zhongqi Jin & Kailin Wu & T. C. Melewar, 2017. "How Does Reputation Win Trust? A Customer-Based Mediation Analysis," International Studies of Management & Organization, Taylor & Francis Journals, vol. 47(3), pages 220-239, July.
  • Handle: RePEc:taf:mimoxx:v:47:y:2017:i:3:p:220-239
    DOI: 10.1080/00208825.2017.1318017
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00208825.2017.1318017
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00208825.2017.1318017?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:mimoxx:v:47:y:2017:i:3:p:220-239. 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/mimo .

    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.