Influence of Free Consultation Services on Patients' Willingness to Pay in Online Medical Platforms

Q2 Decision Sciences International Journal of Crowd Science Pub Date : 2024-02-27 DOI:10.26599/IJCS.2023.9100021
Bohua Zhang;Zhijun Yan;Xiuwei Song;Yingguang Liao;Peilun Li
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Abstract

Online medical platforms have emerged as a popular means for patients to access high-quality medical services efficiently. These platforms offer a variety of services, including paid consultations and free consultations. Given that doctors can increase their revenue through these platforms, researchers should investigate how to improve patients' willingness to pay for these services. Drawing upon social exchange theory, stimulus-organism-response theory, and the information systems (IS) success model, this study proposes a model and five hypotheses to examine the influence of free medical consultations on patients' willingness to buy paid services. To test these hypotheses, a questionnaire survey was conducted, and the collected data were analyzed using the structural equation model. The results indicate that the quality of information and services provided by doctors during free consultations positively affects patients' willingness to pay. By introducing information quality and service quality into the IS success model in the context of free medical consultations, this study contributes to the literature on online medical platforms and expands our understanding of patients' behavior. The findings of this study can be useful for online medical platforms and doctors to design effective platform functions and individual behavioral strategies.
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在线医疗平台中免费咨询服务对患者付费意愿的影响
在线医疗平台已成为患者高效获取优质医疗服务的流行方式。这些平台提供各种服务,包括付费咨询和免费咨询。鉴于医生可以通过这些平台增加收入,研究人员应研究如何提高患者对这些服务的付费意愿。本研究借鉴社会交换理论、刺激-有机体-反应理论和信息系统(IS)成功模型,提出了一个模型和五个假设,以研究免费医疗咨询对患者购买付费服务意愿的影响。为了验证这些假设,研究人员进行了问卷调查,并利用结构方程模型对收集到的数据进行了分析。结果表明,医生在免费咨询过程中提供的信息和服务质量会对患者的付费意愿产生积极影响。通过将信息质量和服务质量引入免费医疗咨询背景下的信息系统成功模型,本研究为有关在线医疗平台的文献做出了贡献,并拓展了我们对患者行为的理解。本研究的结果将有助于在线医疗平台和医生设计有效的平台功能和个人行为策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Crowd Science
International Journal of Crowd Science Decision Sciences-Decision Sciences (miscellaneous)
CiteScore
2.70
自引率
0.00%
发文量
20
审稿时长
24 weeks
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