Revealing the resistance of virtual streamers: intrusiveness, privacy disclosure and perceived justice

Purpose Faced with the challenges of rapidly evolving business environments, practitioners in live streaming commerce are increasingly integrating virtual technologies (i.e. virtual streamers) into their digital transformation strategies. Although virtual streamers are anticipated to experience substantial growth, they continue to face significant challenges, particularly due to consumer reluctance and resistance to adoption. Hence, this study focuses on exploring resistance to virtual streamers by examining it through the lens of perceived justice, intrusiveness and privacy disclosure risks in live streaming commerce. Design/methodology/approach An online survey was administered to examine consumer perceptions of virtual streamers. A total of 303 valid responses were collected and analyzed using partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN). Findings The findings reveal that perceived justice negatively impacts intrusiveness and privacy disclosure risks, which in turn positively influence consumers’ resistance intention to virtual streamers in live streaming commerce. Originality/value This study enhances the understanding of virtual streamers by employing a perceived justice, intrusiveness and privacy disclosure framework to explain consumer resistance, offering a fresh perspective beyond the traditional technology acceptance paradigm. Additionally, it provides practical insights for addressing and reducing resistance to virtual streamers in live streaming commerce.

Authors

Institutions

Publication Details

Journal
Asia Pacific Journal of Marketing and Logistics
Published
2025-04-25
DOI
https://doi.org/10.1108/apjml-12-2024-1895
Citations
4
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
16.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revealing the resistance of virtual streamers: intrusiveness, privacy disclosure and perceived justice

Jessica Sze Yin Ho, Zhucheng Shao
4 citations
Asia Pacific Journal of Marketing and Logistics
Privacy, Security, and Data Protection
16.81
article

Revealing the resistance of virtual streamers: intrusiveness, privacy disclosure and perceived justice

Jessica Sze Yin Ho, Zhucheng Shao
article en
4 citations

Abstract

Purpose Faced with the challenges of rapidly evolving business environments, practitioners in live streaming commerce are increasingly integrating virtual technologies (i.e. virtual streamers) into their digital transformation strategies. Although virtual streamers are anticipated to experience substantial growth, they continue to face significant challenges, particularly due to consumer reluctance and resistance to adoption. Hence, this study focuses on exploring resistance to virtual streamers by examining it through the lens of perceived justice, intrusiveness and privacy disclosure risks in live streaming commerce. Design/methodology/approach An online survey was administered to examine consumer perceptions of virtual streamers. A total of 303 valid responses were collected and analyzed using partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN). Findings The findings reveal that perceived justice negatively impacts intrusiveness and privacy disclosure risks, which in turn positively influence consumers’ resistance intention to virtual streamers in live streaming commerce. Originality/value This study enhances the understanding of virtual streamers by employing a perceived justice, intrusiveness and privacy disclosure framework to explain consumer resistance, offering a fresh perspective beyond the traditional technology acceptance paradigm. Additionally, it provides practical insights for addressing and reducing resistance to virtual streamers in live streaming commerce.

Asia Pacific Journal of Marketing and LogisticsVol. 37(12)
Heriot-Watt University Malaysia (MY)
Openalex Percentile: Top 1%
Privacy, Security, and Data Protection
16.81
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.