PERCEIVED AI-BASED PERSONALIZATION AND PURCHASE INTENTION TOWARD GLAD2GLOW ON SHOPEE: RELEVANCE, ENGAGEMENT, AND TRUST
DOI:
https://doi.org/10.31000/we5m3345Abstract
This study examines how perceived AI-based personalization influences purchase intention toward Glad2Glow on Shopee through perceived relevance, consumer brand engagement, and brand trust. A cross-sectional survey using purposive sampling produced 190 usable responses from Shopee users aged 18 - 40 in Greater Jakarta. The model was assessed using partial least squares structural equation modeling with 5,000 bootstrap subsamples. Perceived AI-based personalization was positively associated with perceived relevance and consumer brand engagement. Perceived relevance was positively associated with engagement and purchase intention, while engagement was strongly and positively associated with brand trust and purchase intention. Brand trust, however, did not independently affect purchase intention. The model explained 65.8% of purchase-intention variance. The study’s novelty lies in positioning multidimensional consumer brand engagement as the focal mechanism linking AI-personalized marketplace recommendations with relational and behavioral brand outcomes. The findings suggest that e-commerce personalization creates value when relevant recommendations stimulate cognitive, emotional, and behavioral engagement.
Keywords: AI-based personalization; perceived relevance; consumer brand engagement; brand trust; purchase intention
Downloads
Published
Issue
Section
License
The author submits the manuscript with the understanding that if it is accepted for publication, the copyright of the article will be granted to the Dynamic Management Journal (DMJ), Management Study Program, Faculty of Economics and Business, University Of Muhammadiyah Tangerang, Indonesia as the publisher of the journal
Dynamic Management Journal (DMJ) first publication rights with works licensed simultaneously under a Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0) which allows others to share (copy and redistribute material in the media or any format) and adapt (remix, modify, and build upon material) the work for any purpose, even commercially with acknowledgment of the work's authorship and initial publication in Dynamic Management Journal (DMJ). Authors may enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal published version of the work (for example, posting it to an institutional repository or publishing it in a book), with an acknowledgment of its initial publication in the Dynamic Management Journal (DMJ). Authors are permitted and encouraged to post their work online (for example, in an institutional repository or on their website) prior to and during the submission process, as this can lead to productive exchanges, as well as earlier and larger citations of published work (See The Effect of Open Access).