Zhuo Sun , Kaiyang Wang , Yan Jin , Zongshui Wang , Ruixian Yang
{"title":"Why are you? Exploring patients’ behavior in selecting physicians in online health communities","authors":"Zhuo Sun , Kaiyang Wang , Yan Jin , Zongshui Wang , Ruixian Yang","doi":"10.1016/j.im.2025.104176","DOIUrl":null,"url":null,"abstract":"<div><div>This paper examines the factors influencing patients' choice of physicians in OHCs (online health communities), using the ELM (elaboration likelihood model), a classic model of user information processing, as its foundation. We assess physicians' expertise and medical outcomes through the central routes, which includes platform quality and medical quality, and the peripheral routes, which refers to electronic word of mouth (eWOM). We introduce list price, gamification, and high-privacy disease as moderating variables to explore the dynamic decision making scenarios regarding patients' healthcare selection behavior. To validate our hypotheses, data were collected in two phases (November 2022 and August 2024) from 15 major departments of China's largest online health community, HaoDaifu Online, yielding 9123 physician profiles and 18,246 matched patient-physician pairs. Using the panel data, the majority of our hypotheses received support, providing deeper insights into the decision making process behind patients' physician selection and its implications for online medical services.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 6","pages":"Article 104176"},"PeriodicalIF":8.2000,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information & Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378720625000795","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper examines the factors influencing patients' choice of physicians in OHCs (online health communities), using the ELM (elaboration likelihood model), a classic model of user information processing, as its foundation. We assess physicians' expertise and medical outcomes through the central routes, which includes platform quality and medical quality, and the peripheral routes, which refers to electronic word of mouth (eWOM). We introduce list price, gamification, and high-privacy disease as moderating variables to explore the dynamic decision making scenarios regarding patients' healthcare selection behavior. To validate our hypotheses, data were collected in two phases (November 2022 and August 2024) from 15 major departments of China's largest online health community, HaoDaifu Online, yielding 9123 physician profiles and 18,246 matched patient-physician pairs. Using the panel data, the majority of our hypotheses received support, providing deeper insights into the decision making process behind patients' physician selection and its implications for online medical services.
期刊介绍:
Information & Management is a publication that caters to researchers in the field of information systems as well as managers, professionals, administrators, and senior executives involved in designing, implementing, and managing Information Systems Applications.