Understanding the Inequality of Web Traffic and Engagement in Online Healthcare Communities

被引:7
作者
Hsu, Yuan-Teng [1 ]
Duan, Ran [2 ]
Chiu, Ya-Ling [3 ,4 ]
Wang, Jying-Nan [3 ,4 ]
机构
[1] Shanghai Business Sch, Res Ctr Finance, Shanghai, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Sch Econ & Management, Chongqing, Peoples R China
[3] Zhejiang Yuexiu Univ, Coll Int Business, Shaoxing, Zhejiang, Peoples R China
[4] Shaoxing Key Lab Smart Soc Monitoring Prevent & Co, Shaoxing, Peoples R China
关键词
online healthcare community; Gini index; Matthew effect; reward mechanism; inequality; KNOWLEDGE CONTRIBUTION; PARTICIPATION; INFORMATION; ROLES; CONSEQUENCES; ACQUISITION; VALUATION; EVOLUTION; INTENTION; CREATION;
D O I
10.3389/fpubh.2022.917522
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The online healthcare community (OHC) is a kind of doctor-patient communication platform, in which doctors can share medical knowledge and provide various kinds of counsel for patients. However, if the OHC's web traffic is concentrated on a small number of doctors, or if only a few doctors are actively involved in the OHC's activities, this will not be conducive to the optimal development of the OHC. This study explores this issue of inequality and makes three main innovations. First, based on data on web traffic and engagement extracted from 139,037 doctors' web pages in one popular OHC, we point out how serious the inequality phenomenon is. Second, we confirm that the Matthew effect indeed exists in this context and leads to greater inequality. Third, we demonstrate that the inequality of psychological or material rewards causes the inequality of web traffic or engagement to become worse; hence, an appropriate reward mechanism should be designed to mitigate the Matthew effect rather than enhance it. Finally, we discuss the managerial implications of these results, as well as avenues for future studies.
引用
收藏
页数:15
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