Examining users’ knowledge sharing behaviour in online health communities
Data Technologies and Applications
ISSN: 2514-9288
Article publication date: 18 October 2019
Issue publication date: 22 October 2019
Abstract
Purpose
The purpose of this paper is to draw on the stimulus-organism-response (SOR) framework to examine users’ knowledge sharing in online health communities (OHC).
Design/methodology/approach
Based on the 326 valid responses collected from a survey, structural equation modelling was employed to examine the research model.
Findings
The results indicated that both information quality and service quality affect trust in community, whereas both informational support and emotional support affect trust in other members. Both types of trust and privacy risk determine users’ sharing intention, which in turn affects sharing behaviour.
Research limitations/implications
The results imply that service providers need to improve their community platforms and create a supportive climate in order to facilitate users’ trust and their knowledge sharing behaviour.
Originality/value
Previous studies have examined a few determinants of OHC user behaviour such as privacy concern, trust and motivations. However, they have seldom disclosed the internal decision process underlying users’ knowledge sharing. This research tries to fill the gap.
Keywords
Acknowledgements
This work was supported by National Natural Science Foundation of China (71771069, 71831006, 71810107003), and NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization (U1509220).
Citation
Zhou, T. (2019), "Examining users’ knowledge sharing behaviour in online health communities", Data Technologies and Applications, Vol. 53 No. 4, pp. 442-455. https://doi.org/10.1108/DTA-03-2019-0044
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited