The Consensus Effect in Online Health-Care Communities

• 成果类型: Article
• 署名作者: Yan, Lu (Lucy); Tan, Yong
• 署名单位: Indiana University System; IU Kelley School of Business; Indiana University Bloomington; University of Washington; University of Washington Seattle; Tsinghua University
• 刊物名称: JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
• ISSN/ISSBN: 0742-1222
• DOI: 10.1080/07421222.2017.1296742
• 发表日期: 2017
• 页码: 11-39
• 关键词: word-of-mouth; social networks; INFORMATION; DYNAMICS; internet; support; opinions; reviews; QUALITY; matter

摘要

Online health-care communities have become increasingly popular among patients, enabling them to connect to a large population of patients who suffer from similar health problems and to access massive amounts of health-related information. We are interested in investigating how other patients' consensus on treatment experiences affects patients' perceived treatment effectiveness. In this regard, we use the cue diagnosticity framework to examine patients' shared treatment reviews. By controlling individual heterogeneity and the inhomogeneous weighting function of social influence on patients, we find that consensus has a positive impact on patients' perceived treatment effectiveness. This positive effect, however, is negatively moderated by the characteristics of the shared information, including volume and patients' precommitment and social connectedness. Overall, we find that perceived treatment effectiveness is closely related to community participants' perceptions about the treatment. These findings can be used to help health-care practitioners incorporate patients' experiences into health-care systems and develop effective interventions to help patients better engage in their disease management.