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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Understanding Purchase Intention in China's Social Commerce: The Role of Social Media Marketing and Brand Trust

Authors: Yang Nan1*, Vincent Wee Eng Kim2;

Understanding Purchase Intention in China's Social Commerce: The Role of Social Media Marketing and Brand Trust

Abstract

Drawing on the Theory of Planned Behavior, the Technology Acceptance Model, Innovation Diffusion Theory, and Trust-Based Relationship Marketing Theory, this study develops an integrated framework to examine the relationships among social media marketing, perceived usefulness, perceived ease of use, social influence, personal innovativeness, brand trust, and purchase intention. Data were collected from 384 active social media users in Beijing, China, and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that social media marketing and its associated technological, social, and individual antecedents are positively associated with brand trust and purchase intention, highlighting the important mediating role of brand trust in shaping consumer purchase decisions. This study contributes to the social commerce literature by integrating multiple theoretical perspectives into a unified framework for explaining consumer purchase intention and provides practical insights for organizations seeking to strengthen consumer trust through effective social media marketing strategies.

Keywords

Social media marketing; Brand trust; Purchase intention; Social commerce; Consumer behavior

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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