Virtual Social Capital Drives Generation Z’s Online Disposal Behavior of Idle Clothing: A Study of Mediation Mechanisms and Behavioral Heterogeneity in Short Video Platforms

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Authors: Ru Xingjun, Liu Le, Chen Min, Gong Bo, Li Ziyi
Cited by: 1
References: 71

Abstract

This study examines how virtual social capital on short video platforms drives Generation Z’s online disposal of idle clothing in China. Based on social capital theory and social network analysis, we focus on three dimensions: network structural embeddedness, emotional connection, and value consensus. Using mixed methods—interviews (N = 26) and a survey (N = 1,474) analyzed via PLS-SEM and logistic regression—we find that value consensus is the key driver, mediated by peer influence and perceived information value. Value-driven behaviors reflect internalized norms, while donations rely on information credibility. The study advances HCI research and offers practical strategies for platform design to promote sustainable consumption.

Fields of Study & Subjects

Sharing Economy and Platforms Generational Differences and Trends Impact of AI and Big Data on Business and Society

Publication details

Journal / source
International Journal of Human-Computer Interaction
Publisher
Informa UK Limited
Volume
42
Issue
19
Pages
1–21
Publication date
6 February 2026
Language
EN