Understanding Physicians' Online-Offline Behavior Dynamics: An Empirical Study

• 成果类型: Article
• 署名作者: Wang, Liuan; Yan, Lu (Lucy); Zhou, Tongxin; Guo, Xitong; Heim, Gregory R.
• 署名单位: Beihang University; Indiana University System; Indiana University Bloomington; IU Kelley School of Business; University of Washington; University of Washington Seattle; Harbin Institute of Technology; Texas A&M University System; Texas A&M University College Station; Mays Business School
• 刊物名称: INFORMATION SYSTEMS RESEARCH
• ISSN/ISSBN: 1047-7047
• DOI: 10.1287/isre.2019.0901
• 发表日期: 2020
• 页码: 537-555
• 关键词: word-of-mouth; Social media; HEALTH; KNOWLEDGE; patient; MODEL; TECHNOLOGY; community; time; efficacy

摘要

Physicians' participation in online healthcare platforms serves to integrate online healthcare resources with the offline medical system. This integration brings opportunities for reshaping healthcare delivery systems. In the field of telemedicine, there has been an extensive discussion about physician participation, but little is known about how physicians actually participate in online healthcare platforms and offline medical systems. Understanding physicians' participation dynamics between online and offline channels is of great importance to academic researchers, practitioners, and policy makers. Such an understanding can reveal insights into how healthcare is actually delivered to patients through both channels, how to contribute to quantifying the social impacts of online healthcare services (Health 2.0), and how to improve healthcare delivery systems. Thus, in this study, we investigate physicians' online-offline behavior dynamics using data from both online and offline channels to conduct our analysis. As physicians' online and offline activities are highly endogenous, we deploy a time-series technique and develop a structural vector autoregression model to examine the behavior dynamics. We find that physicians' online activities can lead to a higher service quantity in offline channels, whereas offline activities may reduce physicians' online services because of resource constraints. Our results also show that the more offline patients physicians serve, the more articles the physicians will likely share online. These findings are robust to various econometric specifications and estimation methods. Our research advocates for the benefits Health 2.0 produces and provides evidence of the value of online healthcare communities and the policies that support them.