{"title":"Foot in both camps: How do activities on third-party online healthcare platforms affect doctors' demand on official online healthcare platforms?","authors":"Heng Zhao , Sijia Zhou","doi":"10.1016/j.dss.2024.114350","DOIUrl":null,"url":null,"abstract":"<div><div>Using empirical data from a third-party platform and a comprehensive public hospital (equipped with an official online healthcare platform) in China, this study employs a two-stage Heckman selection model and find that third-party online healthcare platforms (OHPs) should not be considered an obstacle to promoting official OHPs. Instead, doctors' activities on third-party OHPs increase the demand for doctors on official OHPs. Moreover, this study explores the heterogeneity in the effects of the doctor groups. For example, the impact of specific efforts is stronger for doctors with higher professional titles but weaker for doctors with higher online ratings. This study provides valuable insights for policymakers and hospital administrators to promote and coordinate online services across multiple platforms.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"188 ","pages":"Article 114350"},"PeriodicalIF":6.7000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Decision Support Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167923624001830","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Using empirical data from a third-party platform and a comprehensive public hospital (equipped with an official online healthcare platform) in China, this study employs a two-stage Heckman selection model and find that third-party online healthcare platforms (OHPs) should not be considered an obstacle to promoting official OHPs. Instead, doctors' activities on third-party OHPs increase the demand for doctors on official OHPs. Moreover, this study explores the heterogeneity in the effects of the doctor groups. For example, the impact of specific efforts is stronger for doctors with higher professional titles but weaker for doctors with higher online ratings. This study provides valuable insights for policymakers and hospital administrators to promote and coordinate online services across multiple platforms.
期刊介绍：
The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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