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在线极速问诊的非线性价格模型研究OA北大核心CHSSCDCSTPCD

Nonlinear Price Model Study on Speedy Telemedicine

中文摘要英文摘要

在线极速问诊是在线医疗平台根据患者病情,快速分配诊疗医生的一种咨询服务,而价格是患者选择在线极速问诊服务的关键影响因素.现有关于在线服务价格的研究大多采用线性成本函数,无法体现患者心理价位及单位变动成本递减对价格的影响.文章基于参考价格效应和极大值原理,分析了需求、成本和参考价格之间的相互作用,利用反馈函数刻画了单位成本的边际递减性,建立了在线极速问诊服务价格模型,并提出了长时期和短时期内的动态价格策略.结果表明,参考价格和服务价格具有强相关关系,并且服务价格主导下的患者价格记忆能力对参考价格有负向的影响.另外,相对于短期价格策略,长期价格策略更需要减缓价格的变动以求稳定的利润.

Online medical consultation service is a critical feature offered by online medical service platforms.The service enables patients to receive medical consultation via the Internet,helping them to manage their condi-tions efficiently while minimizing transportation and time costs.As a result,the service enhances people's quali-ty of life and promotes the better social governance level.The online speedy telemedicine service is a subtype of online consultation service that stands out due to its rapid matching of doctors for consultation based on patients filled-in information.It offers lower price and faster response to medical problems than the traditional online expert medical consultation. Despite in-depth research on service price by scholars globally,there is still a lack of exploration of service price strategy for online medical services.Previous research on price models of online service platforms has mainly concentrated on traditional industries such as education,catering,and insurance.However,medical consultation service pricing requires consideration of costs,profits,patient acceptability of prices,and satisfac-tion with services.Moreover,existing online service price models frequently use linear cost functions,which often overlook the impact of psychological price level and decreasing unit variable cost on price.As a result,such models are challenging to apply directly to medical service price strategy.In this paper,we explore the price problem of speedy telemedicine services on online medical platforms based on the reference price utility and the Pontryagin's maximum principle.We establish a price model of online speedy telemedicine services based on the interaction of user demand,reference price,and platform cost.This model focuses on the improvement of the cost function,takes into account the refund problem due to the poor quality of doctor's service,and proposes a price strategy that differs in long and short periods.Our research results can help online medical service platforms better establish price mechanisms,avoid revenue loss due to excessive price changes,and provide a theoretical basis for medical service price reform. This study introduces a cost function with feedback into the price model for the first time,improving the original price model study and more accurately describing the demand-cost relationship in online medicine platforms.By combining the specificity and development trend of the online medical field,we establish a dynamic price model based on the interaction of demand,cost,and reference price.We also conduct a numerical analysis in terms of the level of reference price effect,price sensitivity,and the possibility of refund.Our proposed price model can describe the nonlinear and dynamic change process of reference price utility level,including the structural characterization of steady-state prices and the monotonicity of the optimal price strategy.Our study has five main conclusions:(1)The service price setting can increase with the increase of the reference price,but the rate of change is less than the increase of the reference price.(2)The greater the user's loss aversion,the more slowly the platform needs to adjust the service price.(3)When the user's reference price utility level is high,the platform will needs to adopt a cautious price strategy.(4)Online medical service platforms need to improve their service quality to avoid excessive refund rates,thus avoiding excessive user churn when raising service prices.(5)Long-term price strategy needs to slow down price changes for stable profits com-pared to short-term price strategy.Above all,online medical platforms need to raise prices carefully and adopt a price strategy of gentle rise.The platforms also need to pay attention to the change of users'psychological expectation price to avoid the loss of a large number of users due to excessive increase in service price.It should ensure the quality of the services they provide,encourage doctors to communicate better with users and ensure user satisfaction. Our study investigates the price model of speedy telemedicine service in the context of online medical plat-forms based on the reference price utility,filling the research gap of the service price model of online medical platforms.Our proposed model can help the platform solve the dynamic price strategy problem for the reference price-dependent demand model.However,our study has several limitations:First,our price model is construc-ted in a no-competition context,ignoring the effects of price competition and realistic contexts such as tax rates and inflation rates.Second,we only propose a market-based price model for speedy telemedicine service and do not focus on the price of online expert medical consultation in online medical platforms.Future studies can explore the price of expert consultation by introducing a reference price model.

李佩伦;尹秋菊;颜志军

北京理工大学 管理与经济学院,北京 100081

经济学

在线极速问诊非线性参考价格极大值原理

speedy telemedicinenonlinearreference pricemaximum principle

《运筹与管理》 2024 (002)

在线医疗服务中医生个体行为和团队特征对绩效的影响机制研究

64-70 / 7

国家自然科学基金资助项目(72072011,71872013,72110107003)

10.12005/orms.2024.0045

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