Pricing Policy Selection in a Platform Service Supply Chain with Online Reviews

IF 1.3 4区 数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Discrete Dynamics in Nature and Society Pub Date : 2023-10-07 DOI:10.1155/2023/7886129
Jing Tian, Xiaodong Wang, Jinhuan Meng, Pengfei Ma
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Abstract

In the operation of service-sharing platforms, online review information is crucial to attracting consumers. Considering consumers’ preference for online review information, this paper discusses the pricing policy selection for a service-sharing platform providing vertically differentiated services in sharing economy, which is worth studying. In this paper, a platform service supply chain composed of a high-quality service provider, a low-quality service provider, and a service-sharing platform is considered. For the two pricing policies of a platform: service provider pricing and platform pricing, the profit-maximizing models are constructed, and the optimal high-quality and the low-quality service prices are obtained. This paper also analyzes the effects of online review information on the profits of service providers, platform profits, consumer surplus, and social welfare under the two policies. The results show that under the platform pricing policy, the platform can gain more profits, while the surplus of consumers and service providers may decrease. When the online review information exceeds a threshold, the high-quality service provider profit under the service provider pricing policy is larger than that under the platform pricing policy. Under the platform pricing policy, the low-quality service provider can earn more profit. We also find that the low-quality service provider is more motivated to encourage consumers to provide online reviews regardless of the pricing policy.
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基于在线评价的平台服务供应链定价策略选择
在服务共享平台的运营中,在线点评信息对吸引消费者至关重要。考虑到消费者对在线评论信息的偏好,本文探讨了共享经济中提供垂直差异化服务的服务共享平台的定价政策选择,值得研究。本文考虑由优质服务提供商、低质量服务提供商和服务共享平台组成的平台服务供应链。针对平台的两种定价策略:服务提供商定价和平台定价,构建利润最大化模型,得到最优优质服务价格和优劣质服务价格。本文还分析了在线点评信息在两种政策下对服务提供商利润、平台利润、消费者剩余和社会福利的影响。结果表明,在平台定价政策下,平台可以获得更多的利润,而消费者和服务提供商的剩余可能会减少。当在线点评信息超过某一阈值时,优质服务提供商在服务提供商定价政策下的利润大于平台定价政策下的利润。在平台定价政策下,低质量的服务提供商可以获得更多的利润。我们还发现,无论定价政策如何,低质量的服务提供商更有动机鼓励消费者提供在线评论。
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来源期刊
Discrete Dynamics in Nature and Society
Discrete Dynamics in Nature and Society 综合性期刊-数学跨学科应用
CiteScore
3.00
自引率
0.00%
发文量
598
审稿时长
3 months
期刊介绍: The main objective of Discrete Dynamics in Nature and Society is to foster links between basic and applied research relating to discrete dynamics of complex systems encountered in the natural and social sciences. The journal intends to stimulate publications directed to the analyses of computer generated solutions and chaotic in particular, correctness of numerical procedures, chaos synchronization and control, discrete optimization methods among other related topics. The journal provides a channel of communication between scientists and practitioners working in the field of complex systems analysis and will stimulate the development and use of discrete dynamical approach.
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