IDEAS home Printed from https://ideas.repec.org/a/ids/ijimad/v17y2022i1-2p200-216.html
   My bibliography  Save this article

Role of brand experience, brand trust and brand love in assessing brand loyalty: a study of fashion jewellery brands among women

Author

Listed:
  • Dheeraj Nim
  • Shamily Jaggi
  • Gursimranjit Singh

Abstract

Building strong brands become an imperative part of almost every firm and jewellery firms are not an exception to this. This present paper is an attempt to assess the mediating role of brand trust, brand satisfaction and brand love in the relationship between brand loyalty and brand experience. The hypotheses framed were tested from randomly collected data through self-administrated questionnaire filled by 300 females across PAN India. Responses were taken on five-point Likert scale and the measurement model was tested through structural equation modelling (SEM) technique with smart partial least square (PLS) 2.0 software. The results revealed that brand trust and brand love fully mediates the relationship between brand loyalty and brand experience whereas mediation effect of brand satisfaction is insignificant. The study found new directions for better explaining the brand experience and brand loyalty relationship that will help jewellers/marketers in designing their marketing strategies effectively.

Suggested Citation

  • Dheeraj Nim & Shamily Jaggi & Gursimranjit Singh, 2022. "Role of brand experience, brand trust and brand love in assessing brand loyalty: a study of fashion jewellery brands among women," International Journal of Internet Marketing and Advertising, Inderscience Enterprises Ltd, vol. 17(1/2), pages 200-216.
  • Handle: RePEc:ids:ijimad:v:17:y:2022:i:1/2:p:200-216
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=125147
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Myriam Quinones & Ana M. Díaz-Martín & Mónica Gómez-Suárez, 2023. "Retail technologies that enhance the customer experience: a practitioner-centred approach," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-8, December.
    2. Najah Hassan Salamah, 2022. "Factors Affecting the Preference, Choice, and Selection of Saudi Women Towards Jewelry," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 14(2), pages 135-135, December.

    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:ids:ijimad:v:17:y:2022:i:1/2:p:200-216. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=84 .

    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.