Mediating Roles of Trust and Interest in Influencing Consumer Purchase Decisions in Live Streaming E-commerce Scenarios

As users migrate from traditional e-commerce platforms to streaming platforms, showing interest-based recommendations and interactions, understanding consumer purchase decisions in live streaming e-commerce is crucial for businesses. This study constructs a theoretical behavioral model of consumer purchase intention based on the SOR theory, examining the mediating roles of trust and interest. Empirical research reveals that the authenticity and professionalism of recommendations, as well as the timeliness and effectiveness of interactions, influence consumer purchase intentions through trust and interest, with trust having a chain mediation effect on interest.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/ieem62345.2024.10857051
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
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article

Mediating Roles of Trust and Interest in Influencing Consumer Purchase Decisions in Live Streaming E-commerce Scenarios

Jiao Xue, Tao Yang, Yige Fan, Yixun Liu et al.
Technology Adoption and User Behaviour
article

Mediating Roles of Trust and Interest in Influencing Consumer Purchase Decisions in Live Streaming E-commerce Scenarios

Jiao Xue, Tao Yang, Yige Fan, Yixun Liu, Xinao Shi
article en

Abstract

As users migrate from traditional e-commerce platforms to streaming platforms, showing interest-based recommendations and interactions, understanding consumer purchase decisions in live streaming e-commerce is crucial for businesses. This study constructs a theoretical behavioral model of consumer purchase intention based on the SOR theory, examining the mediating roles of trust and interest. Empirical research reveals that the authenticity and professionalism of recommendations, as well as the timeliness and effectiveness of interactions, influence consumer purchase intentions through trust and interest, with trust having a chain mediation effect on interest.

Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 68%
Technology Adoption and User Behaviour
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