Knowledge contribution loafing and active participation in interest-based social network communities: the moderating role of self-disclosure

In interest-based social network communities, many members engage in knowledge contribution loafing (KCL) and do not participate actively in community activities. It is essential to investigate the factors associated with KCL and active participation to promote the development of interest-based social network communities. In this study, based on the Stimuli–Organism–Responses theory, we examined how disinhibition, privacy concerns, and risk aversion affected community members’ intention to engage in KCL, and how KCL further influenced active participation behaviour. We also explored the moderating role of self-disclosure. The data were collected through an online questionnaire survey, and we received a total of 628 valid responses. The results suggested that disinhibition, privacy concerns, and risk aversion were important predictors of KCL. In addition, KCL was negatively associated with active participation, and this relationship was moderated by self-disclosure. This study contributes to the existing body of knowledge on social loafing by investigating the accelerants and consequences of KCL. This study also has practical implications for the management of interest-based social network communities. Service providers can encourage members’ participation and reduce KCL by implementing different strategies to foster disinhibition, protect privacy, reduce potential risks, and promote self-disclosure in the community.

Authors

Institutions

Publication Details

Journal
Behaviour and Information Technology
Published
2026-07-30
DOI
https://doi.org/10.1080/0144929x.2026.2711018
Primary Topic
Knowledge Management and Sharing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Knowledge contribution loafing and active participation in interest-based social network communities: the moderating role of self-disclosure

Chuan Hu, Jiao Huang
Behaviour and Information Technology
Knowledge Management and Sharing
article

Knowledge contribution loafing and active participation in interest-based social network communities: the moderating role of self-disclosure

Chuan Hu, Jiao Huang
article en

Abstract

In interest-based social network communities, many members engage in knowledge contribution loafing (KCL) and do not participate actively in community activities. It is essential to investigate the factors associated with KCL and active participation to promote the development of interest-based social network communities. In this study, based on the Stimuli–Organism–Responses theory, we examined how disinhibition, privacy concerns, and risk aversion affected community members’ intention to engage in KCL, and how KCL further influenced active participation behaviour. We also explored the moderating role of self-disclosure. The data were collected through an online questionnaire survey, and we received a total of 628 valid responses. The results suggested that disinhibition, privacy concerns, and risk aversion were important predictors of KCL. In addition, KCL was negatively associated with active participation, and this relationship was moderated by self-disclosure. This study contributes to the existing body of knowledge on social loafing by investigating the accelerants and consequences of KCL. This study also has practical implications for the management of interest-based social network communities. Service providers can encourage members’ participation and reduce KCL by implementing different strategies to foster disinhibition, protect privacy, reduce potential risks, and promote self-disclosure in the community.

Behaviour and Information Technology
Nanchang University (CN), Jiangxi University of Finance and Economics (CN)
Reduced inequalities
Openalex Percentile: Top 4%
Knowledge Management and Sharing
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.