The dynamics of customer loyalty in B2C: understanding the buyer-seller relationship chain

Clicks: 1
ID: 310358
2025
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #131 of 409 articles by views in International Journal of Science and Social Science Research

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 409 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
This research aims to understand the relational mechanisms that shape customer loyalty in the B2C context by validating the mediating role of relational quality. A mixed approach was used: an exploratory qualitative study conducted among consumers initially identified the salient dimensions of relational quality, which served as the basis for constructing a sequential relational model that was quantitatively tested on a sample of 135 customers in different sectors of activity. The results based on structural equation modelling (Past Least Square) validate the arrangement of the facets of relational quality identified with buyer satisfaction and loyalty towards the seller to form a cumulative relational chain inherent to the buyer-seller dyad in the B2C context. Our conclusions contribute to enriching the theoretical framework of relational selling. The study provides managerial implications that reinforce the relational practices of salespeople.
Reference Key
imported_1768931115_696fbf2be2265 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Fathi AKROUT
Journal International Journal of Science and Social Science Research
Year 2025
DOI
10.5281/zenodo.18007860
URL
https://www.ijsssr.com/j/article/view/495
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.