Document Type
Article
Source of Publication
Heliyon
Publication Date
1-15-2024
Abstract
Trust has emerged as a pillar in the acceptance and use of new technologies in the ever-changing digital landscape, notably in the booming field of social commerce. The importance of this study lies in the fact that it explores in-depth the aspects of customer trust in Instashopping using new constructs that have yet to be explored in s-commerce literature. Focusing on Instashopping, the research proposed a multi-dimensional model of trust to examine the dynamics of user trust in social commerce platforms and analyses the effects of various factors, including institution-based trust, disposition to trust, personal inventiveness, perceived page quality, and overall web experience. Structural equation modelling and confirmatory factor analysis were used to examine data from 267 responses in a survey of university students in the United Arab Emirates who have used Instagram for shopping. The analysis showed that user trust and trusting beliefs were significantly influenced by the disposition to trust, institution-based trust, and general web experience. Still, no significant association was found between perceived site quality and trusting beliefs. These findings highlight the crucial part that user trust plays in social commerce platform success and how important it is for online platforms to build and maintain user trust. The work also contributes theoretically to the knowledge body by comprehensively analysing trust dynamics in social commerce. In practice, the knowledge gained can help organisations plan their strategy for gaining and keeping client trust, which is essential for long-term success in the digital arena. To ensure long-term success, organisations must emphasise building and maintaining customer trust.
DOI Link
ISSN
Publisher
Elsevier BV
Volume
10
Issue
1
Disciplines
Computer Sciences
Keywords
Instashopping, S-Commerce, SEM, Trust, Trust Drivers
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Al-kfairy, Mousa; Shuhaiber, Ahmed; Al-khatib, Ayman Wael; Alrabaee, Saed; and Khaddaj, Souheil, "Understanding Trust Drivers of S-commerce" (2024). All Works. 6243.
https://zuscholars.zu.ac.ae/works/6243
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Hybrid: This publication is openly available in a subscription-based journal/series