Investigating the trust entities that influence consumers’ purchase intention in livestream e-commerce from trust transfer perspective: using analysis of SEM and fsQCA

Livestream commerce’s operational challenges require deeper trust mechanism analysis to improve sales conversion. Integrating social cognitive and trust transfer theories, this study examines how trust in streamers, products, platforms, co-viewers and brands collectively influences purchase intention, employing SEM and fsQCA on 439 experienced consumers. PLS-SEM results indicate that trust in streamer, product, brand, platform and co-viewer significantly affect PIs. Trust in streamer and product mediate co-viewers’ indirect influence on purchase intention, while trust in platform transfers through streamer, product and brand. Among the five configurations identified by the fsQCA, the core drivers are trust in the streamer, co-viewers and brand (or platform trust), whereas trust in the product functions as a secondary condition. Theoretically, this study deepens social cognitive theory (SCT) by showing how individual cognition and social environments jointly shape trust and drive PI. It also enriches trust transfer theory (TTT) through a multilevel perspective that clarifies directional pathways. It further advances understanding of trust dynamics by revealing asymmetric interactions across trust levels in livestream e-commerce. Practically, platforms should prioritize security and transparency; vendors and streamers should enhance real-time interactions and authentic demonstrations to strengthen trust transfer. Brands should strategically emphasize their commitment to customers or create an interactive atmosphere.

Authors

Institutions

Publication Details

Journal
Cogent Business & Management
Published
2025-11-10
DOI
https://doi.org/10.1080/23311975.2025.2582220
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating the trust entities that influence consumers’ purchase intention in livestream e-commerce from trust transfer perspective: using analysis of SEM and fsQCA

Albattat Ahmad, Sana Azam, Yifei Zhang, Asad Ur Rehman
Cogent Business & Management
Technology Adoption and User Behaviour
article

Investigating the trust entities that influence consumers’ purchase intention in livestream e-commerce from trust transfer perspective: using analysis of SEM and fsQCA

Albattat Ahmad, Sana Azam, Yifei Zhang, Asad Ur Rehman
article en

Abstract

Livestream commerce’s operational challenges require deeper trust mechanism analysis to improve sales conversion. Integrating social cognitive and trust transfer theories, this study examines how trust in streamers, products, platforms, co-viewers and brands collectively influences purchase intention, employing SEM and fsQCA on 439 experienced consumers. PLS-SEM results indicate that trust in streamer, product, brand, platform and co-viewer significantly affect PIs. Trust in streamer and product mediate co-viewers’ indirect influence on purchase intention, while trust in platform transfers through streamer, product and brand. Among the five configurations identified by the fsQCA, the core drivers are trust in the streamer, co-viewers and brand (or platform trust), whereas trust in the product functions as a secondary condition. Theoretically, this study deepens social cognitive theory (SCT) by showing how individual cognition and social environments jointly shape trust and drive PI. It also enriches trust transfer theory (TTT) through a multilevel perspective that clarifies directional pathways. It further advances understanding of trust dynamics by revealing asymmetric interactions across trust levels in livestream e-commerce. Practically, platforms should prioritize security and transparency; vendors and streamers should enhance real-time interactions and authentic demonstrations to strengthen trust transfer. Brands should strategically emphasize their commitment to customers or create an interactive atmosphere.

Cogent Business & ManagementVol. 12(1)
Management and Science University (MY), Asia Pacific University of Technology & Innovation (MY)
Openalex Percentile: Top 68%
Technology Adoption and User Behaviour
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.