Why do knowledge seekers turn to knowledge contributors in social Q&A platforms? Evidence from China
Abstract
Purpose
Based on the social interaction theory and trust theory, this study investigates the switching of users on social question and answer (Q&A) platforms from knowledge seekers to knowledge contributors.
Design/methodology/approach
We used Python to gather data from Zhihu, performed hypothesis testing on the models using Poisson regression and finally conducted a mediation effect analysis.
Findings
The findings reveal that knowledge seeking impacts users' motivation for information interaction, emotional interaction and trust. Notably, information interaction and trust exhibit a chained mediation effect that subsequently influences knowledge contribution.
Originality/value
Current studies on user knowledge behavior typically examine individual actions, rarely connecting knowledge seeking and knowledge contribution. However, the balance of knowledge inflow and outflow is crucial for social Q&A platforms. To cover this gap, this paper empirically investigates the switching between knowledge seeking and knowledge contribution based on the social interaction theory and trust theory.
Keywords
Acknowledgements
This study was supported by the Major Programs of the National Social Science Foundation of China (Grant No. 19ZDA348).
Citation
Qiu, J., Mi, Q., Xu, Z., Zhang, T. and Zhou, T. (2024), "Why do knowledge seekers turn to knowledge contributors in social Q&A platforms? Evidence from China", Aslib Journal of Information Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/AJIM-11-2023-0460
Publisher
:Emerald Publishing Limited
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