School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China.
Int J Environ Res Public Health. 2022 Oct 11;19(20):13028. doi: 10.3390/ijerph192013028.
Given that an increasing number of online healthcare channels play an essential role as a supply method in the healthcare service supply chain (HSSC), this paper studies the price decision-making problem for a dual-channel HSSC considering the channel acceptance, price ceiling, and public welfare. In this HSSC, a healthcare institution establishes both a traditional offline channel and an online channel to provide healthcare services for some health conditions. Considering the public welfare of healthcare institutions, we employ a sum formula of economic revenue and patient surplus to describe the total revenue of both healthcare service channels. Based on the Stackelberg game, we develop a decentralized supply chain model to maximize supply chain members' revenue. By employing the Karush-Kuhn-Tucker optimality condition, we derive an analytical expression for the optimal service price, which includes the functions of the public welfare coefficient and channel acceptance. Finally, we conduct extensive numerical analyses under various system parameters to verify the optimal price decision-making strategies. Our analytical results indicate that: (1) the healthcare service price is closely related to the patients' channel acceptance, the public welfare coefficient, and the government price ceiling policy; (2) the public welfare coefficient strongly influences the service price and total revenue, and its increase can decrease the economic revenue of the HSSC; (3) the acceptance of online channels is an essential factor that should be carefully considered in the construction of a dual-channel HSSC. Improving patient acceptance of online channels is conducive to developing and improving a sustainable dual-channel HSSC.
鉴于越来越多的在线医疗保健渠道在医疗保健服务供应链 (HSSC) 中作为一种供应方式发挥着重要作用,本文研究了考虑渠道接受度、价格上限和公益事业的双渠道 HSSC 的价格决策问题。在这个 HSSC 中,医疗机构建立了传统的线下渠道和在线渠道,为某些健康状况提供医疗服务。考虑到医疗机构的公益事业,我们采用经济收入和患者剩余的总和公式来描述两个医疗服务渠道的总收入。基于Stackelberg 博弈,我们开发了一个分散的供应链模型,以最大化供应链成员的收入。通过采用 Karush-Kuhn-Tucker 最优条件,我们推导出了最优服务价格的解析表达式,其中包括公益事业系数和渠道接受度的函数。最后,我们在各种系统参数下进行了广泛的数值分析,以验证最优价格决策策略。我们的分析结果表明:(1)医疗服务价格与患者渠道接受度、公益事业系数和政府价格上限政策密切相关;(2)公益事业系数强烈影响服务价格和总收入,其增加会降低 HSSC 的经济收入;(3)在线渠道的接受度是双渠道 HSSC 建设中需要仔细考虑的重要因素。提高患者对在线渠道的接受度有助于发展和完善可持续的双渠道 HSSC。