Streamer Characteristics and Platform Interaction on Purchase Intention in Live E-Commerce: The Mediating Role of Trust

Main Article Content

Luyao Ouyang
Phanasarn Kohsuwan
Ma Junshan

Abstract

This study examines how streamer characteristics and platform interaction features influence consumer purchase intention, focusing on their broader implications for consumer quality of life (QoL) and digital satisfaction. Drawing on the Stimulus–Organism–Response (S-O-R) framework and Trust Theory, the research explores how the live-streaming environment serves as a socio-technical stimulus that shapes the consumer’s internal state. Data were collected from 486 users with experience using platforms such as Douyin, Taobao Live, and Kuaishou. Structural Equation Modeling (SEM) was employed to validate the hypothesized relationships.


          The results demonstrate that streamer professionalism, trustworthiness, and interactivity, alongside platform-level factors, such as real-time interactivity, community atmosphere, and interface usability, significantly and positively affect purchase intention. Notably, consumer trust serves as a vital mediator, accounting for approximately 40%–43% of the total effect. From a QoL perspective, these findings suggest that high-quality live-streaming interactions mitigate perceived risk and uncertainty, providing consumers with emotional support and a sense of belonging to a community. By integrating streamer-level and platform-level factors into a unified framework, this study provides a more comprehensive understanding of consumer behavior in live-streaming commerce.


          Recommendation: This study contributes to understanding how digital commerce can be optimized not only for transactional success but also to enhance users' psychological
well-being and social connectivity in the digital age.

Article Details

Section
Research Article

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