Understanding knowledge-sharing intentions in Chinese virtual academic communities: a combined MT-TPB framework

Purpose The persistent challenge of low user engagement in virtual academic communities necessitates an urgent investigation into knowledge-sharing determinants. The purpose of this study is to develop a combined motivation theory-theory of planned behaviour (MT-TPB) framework, systematically examining behavioural determinants in virtual academic communities through dual intrinsic-extrinsic motivational constructs. Design/methodology/approach Data were collected through a questionnaire survey, yielding 436 valid responses. Structural equation modelling was used to evaluate the proposed research model and hypotheses. Findings The findings demonstrated that intrinsic and extrinsic motivations influence users’ attitudes towards knowledge-sharing, subjective norm and perceived behavioural control (PBC). In turn, these factors positively affect users’ willingness and behaviour. The authors also found that user differences, including age and frequency of use, significantly affected knowledge-sharing attitudes and PBC. Practical implications Empirical evidence yields three actionable dimensions for community optimization: user interaction protocols amplifying intrinsic satisfaction, platform functionalities reinforcing extrinsic rewards and artificial intelligence-powered management mechanisms that strengthen behavioural governance. Originality/value This study developed an MT-TPB framework to identify key drivers of knowledge-sharing behaviour within virtual academic communities.

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Publication Details

Journal
VINE Journal of Information and Knowledge Management Systems
Published
2026-04-13
DOI
https://doi.org/10.1108/vjikms-08-2025-0341
Primary Topic
Knowledge Management and Sharing
Type
article
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article

Understanding knowledge-sharing intentions in Chinese virtual academic communities: a combined MT-TPB framework

Fang Xu, Yilin Wang
VINE Journal of Information and Knowledge Management Systems
Knowledge Management and Sharing
article

Understanding knowledge-sharing intentions in Chinese virtual academic communities: a combined MT-TPB framework

Fang Xu, Yilin Wang
article en

Abstract

Purpose The persistent challenge of low user engagement in virtual academic communities necessitates an urgent investigation into knowledge-sharing determinants. The purpose of this study is to develop a combined motivation theory-theory of planned behaviour (MT-TPB) framework, systematically examining behavioural determinants in virtual academic communities through dual intrinsic-extrinsic motivational constructs. Design/methodology/approach Data were collected through a questionnaire survey, yielding 436 valid responses. Structural equation modelling was used to evaluate the proposed research model and hypotheses. Findings The findings demonstrated that intrinsic and extrinsic motivations influence users’ attitudes towards knowledge-sharing, subjective norm and perceived behavioural control (PBC). In turn, these factors positively affect users’ willingness and behaviour. The authors also found that user differences, including age and frequency of use, significantly affected knowledge-sharing attitudes and PBC. Practical implications Empirical evidence yields three actionable dimensions for community optimization: user interaction protocols amplifying intrinsic satisfaction, platform functionalities reinforcing extrinsic rewards and artificial intelligence-powered management mechanisms that strengthen behavioural governance. Originality/value This study developed an MT-TPB framework to identify key drivers of knowledge-sharing behaviour within virtual academic communities.

VINE Journal of Information and Knowledge Management Systems
Soochow University (CN)
Openalex Percentile: Top 5%
Knowledge Management and Sharing
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Understanding knowledge-sharing intentions in Chinese virtual academic communities: a combined MT-TPB framework — Fang Xu, Yilin Wang · VINE Journal of Information and Knowledge Management Systems (2026) | TGRS Research Map | TGRS