在线健康社区诊疗服务的声誉激励模型

Reputation Incentive Model of Online Health Community Diagnosis and Treatment Service

在在线健康社区中,为激励在线医生积极参与诊疗服务,引入公平偏好,构建并求解声誉激励模型,利用MATLAB对模型进行数值仿真验证结论.研究表明,在完全信息条件下,在线医生的公平偏好系数与声誉激励系数正相关;在不完全信息条件下,在线医生的公平偏好系数与声誉激励系数无关;无论考虑公平偏好系数与否,在线医生的努力水平、信用能力系数和医疗能力系数与声誉激励系数均正相关;在线医生的风险规避系数、努力成本系数、外界环境变量的方差和产出分享系数与声誉激励系数均负相关.

In the online health community,in order to encourage online doctors to actively participate in diag⁃nosis and treatment services,fairness preferences are introduced,reputation incentive models are constructed and solved,and MATLAB is used to verify the conclusions of the model by numerical simulation.Research shows that under the condition of complete information,the fair preference coefficient of online doctors is pos⁃itively correlated with the reputation incentive coefficient;under the condition of incomplete information,the fair preference coefficient of online doctors has no significant effect on the reputation incentive coefficient;regardless of whether the fair preference coefficient is considered or not,online doctor′s effort level,credit ability coefficient and medical ability coefficient are positively correlated with reputation incentive coeffi⁃cient;online doctor′s effort cost coefficient,risk aversion coefficient,variance of external environment vari⁃ables and output sharing coefficient are all negatively correlated with reputation incentive coefficient.