More sharing, more engagement? The impact of free knowledge sharing on customer engagement in online health communities
Abstract
Purpose
Knowledge sharing in online health communities (OHCs) disrupts consumers' health information-seeking behavior patterns such as seeking health information and consulting. Based on social exchange theory, this study explores how the two dimensions of experts' free knowledge sharing (general and specific) affect customer transactional and nontransactional engagement behavior and how the quality of experts' free knowledge sharing moderates the above relationships.
Design/methodology/approach
We adopted negative binomial regression models using homepage data of 2,982 experts crawled from Haodf.com using Python.
Findings
The results show that experts' free general knowledge sharing and free specific knowledge sharing positively facilitate both transactional and nontransactional engagement of consumers. The results also demonstrate that experts' efforts in knowledge-sharing quality weaken the positive effect of their knowledge-sharing quantity on customer engagement.
Originality/value
This study provides new insights into the importance of experts' free knowledge sharing in OHCs. This study also revealed a “trade-off” between experts' knowledge-sharing quality and quantity. These findings could help OHCs managers optimize knowledge-sharing recommendation mechanisms to encourage experts to share more health knowledge voluntarily and improve the efficiency of healthcare information dissemination to promote customer engagement.
Keywords
Acknowledgements
This work was funded by the Humanities and Social Science Research Youth Foundation Project of the Ministry of Education of China (No. 22YJC630044). In addition, the authors thank the anonymous reviewers very much for their constructive comments to enhance the paper’s quality.
Citation
Xu, Z., Hao, R., Lyu, X. and Jiang, J. (2024), "More sharing, more engagement? The impact of free knowledge sharing on customer engagement in online health communities", Kybernetes, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/K-12-2023-2562
Publisher
:Emerald Publishing Limited
Copyright © 2024, Emerald Publishing Limited