Consumer Satisfaction in Live Streaming E-commerce: A Meta-analysis of Communication Factors

This study conducts a systematic review and meta-analysis to examine how communication factors influence consumer satisfaction in live streaming e-commerce. As live streaming platforms grow rapidly, understanding communication strategies that enhance user satisfaction has become increasingly important. Guided by social interaction theory, the study investigates key communication elements, including host-consumer interaction, live chat engagement, information presentation methods, and real-time feedback mechanisms. A meta-analysis was performed using 15 peer-reviewed studies retrieved from PubMed, PsycINFO, Web of Science, and Scopus, following the PRISMA framework for systematic reviews. The results demonstrate a positive correlation between communication factors and consumer satisfaction, with point estimates ranging from 4.13 to 4.15. Narrow standard errors and confidence intervals indicate consistent findings across studies. A high I² value of 95.04% suggests significant heterogeneity, indicating the influence of variables such as consumer demographics and platform types. Minimal publication bias was observed, as shown by the symmetry of the funnel plot. Future research should explore the impact of specific consumer profiles and different product categories on communication effectiveness. This study provides practical insights for marketers, content creators, and platform developers seeking to optimize communication strategies and enhance consumer satisfaction in live-streaming e-commerce.

Authors

Institutions

Publication Details

Journal
Review of Communication Research
Published
2025-08-11
DOI
https://doi.org/10.52152/rcr.v13.s3
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

Consumer Satisfaction in Live Streaming E-commerce: A Meta-analysis of Communication Factors

Nadzirah Rosli, Xiaochen Zhang
Review of Communication Research
Technology Adoption and User Behaviour
article

Consumer Satisfaction in Live Streaming E-commerce: A Meta-analysis of Communication Factors

Nadzirah Rosli, Xiaochen Zhang
article en

Abstract

This study conducts a systematic review and meta-analysis to examine how communication factors influence consumer satisfaction in live streaming e-commerce. As live streaming platforms grow rapidly, understanding communication strategies that enhance user satisfaction has become increasingly important. Guided by social interaction theory, the study investigates key communication elements, including host-consumer interaction, live chat engagement, information presentation methods, and real-time feedback mechanisms. A meta-analysis was performed using 15 peer-reviewed studies retrieved from PubMed, PsycINFO, Web of Science, and Scopus, following the PRISMA framework for systematic reviews. The results demonstrate a positive correlation between communication factors and consumer satisfaction, with point estimates ranging from 4.13 to 4.15. Narrow standard errors and confidence intervals indicate consistent findings across studies. A high I² value of 95.04% suggests significant heterogeneity, indicating the influence of variables such as consumer demographics and platform types. Minimal publication bias was observed, as shown by the symmetry of the funnel plot. Future research should explore the impact of specific consumer profiles and different product categories on communication effectiveness. This study provides practical insights for marketers, content creators, and platform developers seeking to optimize communication strategies and enhance consumer satisfaction in live-streaming e-commerce.

Review of Communication ResearchVol. 13(Special)
National Institutes of Biotechnology Malaysia (MY), National University of Malaysia (MY)
Openalex Percentile: Top 76%
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.