Determining Factors Affecting the Users’ Participation of Online Health Communities: An Integrated Framework of Social Capital and Social Support

Abstract

As the national awareness of health keeps deepening, online health communities (OHCs) have achieved rapid development. Users’ participation is critically important to the sustainable development of OHCs. Nevertheless, users usually lack the motive for participation. Based on the social capital theory, this research examines factors influencing users’ participation in OHCs. The purpose of this research is to find out decisive factors that influence users’ participation in OHCs, enrich the understanding of users’ participation in OHCs, and help OHCs address the issue of sustainable development. The research model was empirically tested using 1277 responses from an online survey conducted in China. Data was analyzed using the structural equation modeling (SEM). We found informational support and emotional support to have significant direct effects over the structural capital, relational capital and cognitive capital of OHCs. Meanwhile, it is observed that relational capital and cognitive capital degree have a significant influence on knowledge acquisition and knowledge contribution of OHCs. For researchers this study provides a basis for further refinement of individual models of users’ participation. For practitioners, understanding the social capital is crucial to users’ knowledge acquisition and knowledge contribution that achieve high participation in OHCs.

Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT

“…However, disease is something inevitable that will accompany a person all his life. With the gradual improvement of people’ s living standards, there has been a growing demand for medical and health services [ 1 , 2 ]. As estimated by the United Nations, the population aged above 60 years old will have increased to 454 million by the year 2050 in China, taking up 34% of the national total, which can be judged by standards of the World Health Organization as the deep population aging stage [ 3 ].…”