IDEAS home Printed from https://ideas.repec.org/a/igg/jeco00/v19y2021i1p1-23.html
   My bibliography  Save this article

Determinants of Customer Loyalty Dimensions: E-Commerce Context in Emerging Economy Perspective

Author

Listed:
  • Doddahulugappa Goutam

    (National Institute of Technology Karnataka, Surathkal, India)

  • Gopalakrishna B. V.

    (National Institute of Technology Karnataka, Surathkal, India)

  • Shirshendu Ganguli

    (T A Pai Management Institute, India)

Abstract

This study aims to explore the factors influencing attitudinal, affective, as well as cognitive loyalties. Theoretical framework was developed by integrating the e-service quality, e-satisfaction, e-loyalty (the three dimensions), e-commitment, and e-trust. Nine hundred thirty-seven valid replies were collected from internet shoppers through using email survey method. Exploratory factor analysis as well as Structural equation modeling was accomplished to examine the anticipated model by using SPSS-V23 and AMOS-V23. Results confirm that e-service quality has an influence on satisfaction, trust, and commitment. The authors have considered e-satisfaction, e-trust, and e-commitment as mediating variables between e-service quality and e-loyalty dimensions and tested for it as well. E-satisfaction has a substantial impact on e-trust and trust acts as a mediator between satisfaction and attitudinal, affective, and cognitive loyalty. Further, e-trust has an influence on commitment and commitment acts as a mediator between trust and attitudinal, affective, and cognitive loyalty. Moreover, commitment has a positive effect on attitudinal and cognitive loyalty but does not have any impact on affective loyalty.

Suggested Citation

  • Doddahulugappa Goutam & Gopalakrishna B. V. & Shirshendu Ganguli, 2021. "Determinants of Customer Loyalty Dimensions: E-Commerce Context in Emerging Economy Perspective," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 19(1), pages 1-23, January.
  • Handle: RePEc:igg:jeco00:v:19:y:2021:i:1:p:1-23
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/JECO.2021010101
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Abbiha Waqar & Nida Nabeel, 2021. "The Impact of Social Networking on Customer Loyalty in an Emerging E-Market Context," Virtual Economics, The London Academy of Science and Business, vol. 4(2), pages 76-87, April.

    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:igg:jeco00:v:19:y:2021:i:1:p:1-23. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.