Gender role reversal in live commerce: how male anchors’ feminine and masculine traits influence female purchase intention

This study aims to explore how the reverse gender characteristics of male anchors in the live streaming consumption field attract female consumers and influence their purchasing behavior. Based on the interpersonal attraction theory and the Pleasure-Arousal-Dominance (PAD) three-dimensional emotion model, the male anchor’s physical attractiveness, verbal attractiveness, femininity and masculinity are taken as independent variables, female consumers’ sense of pleasure, arousal and dominance are taken as mediating variables, social presence is taken as a moderating variable, and female consumers’ purchase intention is taken as the dependent variable, thus proposing research hypotheses and models. The study used structural equation modeling (SEM) to verify the hypotheses using empirical data from 443 female consumers. Research results show that the reverse-gender characteristics of male anchors not only have a significant positive impact directly on the PAD three-dimensional emotion model, but also affect female consumers’ purchase intention through the mediating effect of the PAD model. Social presence plays a positive moderating role in the relationship between female consumers’ sense of arousal and purchase intention. The study expands the application of gender reverse marketing-related theories in live e-commerce scenarios and provides targeted reference suggestions for e-commerce anchors, Multi-Channel Network (MCN) agencies and merchants.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-04-01
DOI
https://doi.org/10.1057/s41599-026-07109-y
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

Gender role reversal in live commerce: how male anchors’ feminine and masculine traits influence female purchase intention

Yue Sun, Xiangdong Shen, Mingli Huang, Weiwei Ren et al.
Humanities and Social Sciences Communications
Technology Adoption and User Behaviour
article

Gender role reversal in live commerce: how male anchors’ feminine and masculine traits influence female purchase intention

Yue Sun, Xiangdong Shen, Mingli Huang, Weiwei Ren, Jiaohui Yu
article en

Abstract

This study aims to explore how the reverse gender characteristics of male anchors in the live streaming consumption field attract female consumers and influence their purchasing behavior. Based on the interpersonal attraction theory and the Pleasure-Arousal-Dominance (PAD) three-dimensional emotion model, the male anchor’s physical attractiveness, verbal attractiveness, femininity and masculinity are taken as independent variables, female consumers’ sense of pleasure, arousal and dominance are taken as mediating variables, social presence is taken as a moderating variable, and female consumers’ purchase intention is taken as the dependent variable, thus proposing research hypotheses and models. The study used structural equation modeling (SEM) to verify the hypotheses using empirical data from 443 female consumers. Research results show that the reverse-gender characteristics of male anchors not only have a significant positive impact directly on the PAD three-dimensional emotion model, but also affect female consumers’ purchase intention through the mediating effect of the PAD model. Social presence plays a positive moderating role in the relationship between female consumers’ sense of arousal and purchase intention. The study expands the application of gender reverse marketing-related theories in live e-commerce scenarios and provides targeted reference suggestions for e-commerce anchors, Multi-Channel Network (MCN) agencies and merchants.

Humanities and Social Sciences Communications
University of Liverpool (GB), Suzhou University of Technology (CN), Shandong Jianzhu University (CN)
Gender equality
Openalex Percentile: Top 20%
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.