IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v36y2017i1p85-94.html
   My bibliography  Save this article

How does justice matter in online retailers’ reputation and purchase intentions: an empirical study of China

Author

Listed:
  • Muhammad Ziaullah
  • Yi Feng
  • Shumaila Naz Akhter

Abstract

In recent years, online shopping has been proliferated around the world. Online retailers’ reputation and purchase intentions are critical for survival and profitability of any online store. Thus, this study proposes a research framework to examine the perceived justice effects on customers purchase intention and online retailers’ reputation. A confirmatory factor analysis was conducted to demonstrate the reliability and validity of the measurement model, and the structural equation modelling technique was used to test the research model. The hypothesised model was validated empirically using data collected from 383 online shopping customers in China. The results indicated that perceived procedural, distributive and interactional justice components were strong predictors of customers purchase intention and online retailers’ reputation while online retailers’ reputation had significant effects on purchase intentions. Finally, theoretical and managerial implications are also presented in the paper.

Suggested Citation

  • Muhammad Ziaullah & Yi Feng & Shumaila Naz Akhter, 2017. "How does justice matter in online retailers’ reputation and purchase intentions: an empirical study of China," Behaviour and Information Technology, Taylor & Francis Journals, vol. 36(1), pages 85-94, January.
  • Handle: RePEc:taf:tbitxx:v:36:y:2017:i:1:p:85-94
    DOI: 10.1080/0144929X.2016.1196503
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2016.1196503
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2016.1196503?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yi-Fen Chen & Yu-Te Chen & Jui-Feng Hsieh, 2024. "Do Initiator Characteristics Impact Member Decision: A Study of Online Group Buying in Taiwan," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 14(6), pages 1-3.

    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:tbitxx:v:36:y:2017:i:1:p:85-94. 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/tbit .

    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.