The role of customer engagement in enhancing repurchase intention and eWOM through technology-driven experiences: A stimulus-organism-response perspective of Xiaohongshu
Chen Xiaodan () and
Niyom Suwandej ()
Edelweiss Applied Science and Technology, 2025, vol. 9, issue 6, 2400-2423
Abstract:
This study investigates the role of customer engagement in enhancing repurchase intention and electronic word-of-mouth (eWOM) through technology-driven experiences on Xiaohongshu, using the Stimulus–Organism–Response (S-O-R) model. Drawing on a mixed-methods approach, the study examines how social interaction, information quality, and perceived value (stimuli) influence cognitive, emotional, and behavioral engagement (organism), which in turn affect repurchase intention and eWOM (responses). Quantitative data from 407 Xiaohongshu users in Shanghai and qualitative insights from 17 in-depth interviews reveal that all hypothesized relationships are supported. The findings highlight that platform-driven stimuli significantly shape user engagement and that engagement is a key driver of loyalty and advocacy. The integration of technology, content quality, and user community experience creates a robust foundation for sustained behavioral outcomes. This research contributes to the literature on digital engagement and offers practical insights for optimizing social commerce strategies.
Keywords: Customer engagement; eWOM; S-O-R model; Repurchase intention; Technology-driven experience. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://learning-gate.com/index.php/2576-8484/article/view/8406/2820 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ajp:edwast:v:9:y:2025:i:6:p:2400-2423:id:8406
Access Statistics for this article
More articles in Edelweiss Applied Science and Technology from Learning Gate
Bibliographic data for series maintained by Melissa Fernandes ().