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Two-Stage Dynamic Pricing and Advertising Strategies for Online Video Services

机译:在线视频服务的两级动态定价和广告策略

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摘要

As the demands for online video services increase intensively, the selection of business models has drawn the great attention of online providers. Among them, pay-per-viewmode and advertisingmode are two important resource modes, where the reasonable fee charge and suitable volume of ads need to be determined. This paper establishes an analytical framework studying the optimal dynamic pricing and advertising strategies for online providers; it shows how the strategies are influenced by the videos available time and the viewers' emotional factor. We create the two-stage strategy of revenue models involving a single fee mode and a mixed fee-free mode and find out the optimal fee charge and advertising level of online video services. According to the results, the optimal video price and ads volume dynamically vary over time.The viewer's aversion level to advertising has direct effects on both the volume of ads and the number of viewers who have selected low-quality content. The optimal volume of ads decreases with the increase of ads-aversion coefficient, while increasing as the quality of videos increases. The results also indicate that, in the long run, a pure fee mode or free mode is the optimal strategy for online providers.
机译:随着在线视频服务的需求集中增加,业务模式的选择引起了在线提供商的大部分注意。其中,每次viewMode和广告码是两个重要的资源模式,在那里需要确定合理的费用和适当的广告量。本文建立了一个分析框架,研究了在线提供商的最佳动态定价和广告策略;它展示了如何受视频的影响程度和观众情绪因素的影响。我们创建了涉及单一费用模式和混合免维模式的收入模型的两级策略,并找出在线视频服务的最佳费用和广告级别。根据结果​​,最佳视频价格和广告量随时间而动态变化。观众的厌购水平对广告的倾向级别对广告的数量和所选择的低质量内容的观众的数量具有直接影响。随着视频质量的增加,ADS厌恶系数的增加,ADS的最佳变量降低。结果还表明,从长远来看,纯费模式或自由模式是在线提供商的最佳策略。

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