基于准线性效用函数的无线互联网激励定价模型

F. Puspita, Depianna Br. Haloho, S. Yahdin, E. Yuliza, Lenni Nurhayati, Y. Hartono
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引用次数: 0

摘要

在网络定价方案中,采用网络激励定价来优化网络服务的价格。在本研究中,付费意愿是客户订阅服务的先决条件之一,因此使用了不同的消费者。随着互联网服务的需求不断增加,服务供应商正竞相提供最优质的服务,以提高服务质素和吸引客户。在此基础上,结合捆绑、准线性效用函数、高需求用户和低需求用户、反向收费和分两部分的资费定价体系,寻找增强的互联网激励定价模型的最佳模型和解决方案。利用实际数据对模型进行验证的计算表明,在以$\beta$为参数和以$\gamma$为参数的两部分电价方案中,当$FG_{xy}$和$a$分别增加时,作为当地数据的数值算例,激励值为797.55印尼盾/ kbps。这一结果表明,加强激励定价策略使互联网服务提供商受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quasi Linear Utility Function Based-Wireless Internet Incentive-Pricing Models
In the internet pricing scheme, internet incentive pricing is used to optimize the price of online services. The desire to pay is one of the prerequisites for customers to subscribe to the service in this study, hence diverse consumers are used. With the growing demand for internet services, service providers are competing to deliver the finest service possible in order to improve service quality and attract customers. Then, using a combination of bundling, a quasi linear utility function, high and low demand users, reverse charging, and a two-part tariff pricing system, this study aims to find the best model and solution for an enhanced internet incentive-pricing model. The computation used to test the model using real data reveals that in this scenario $\beta$ as a parameter and $\gamma$ as a parameter with two-part tariff-pricing scheme when $FG_{xy}$ increases and $a$ increases, as numerical example from local data shows an incentive value of IDR 797.55 / kbps. This result shows that an enhanced incentive-pricing strategy has benefited ISPs.
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