广告支持内容平台补贴政策的战略分析:从生产者定价策略的角度看广告内容平台的补贴政策

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Dan Gao , He Xu , Pin Zhou
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引用次数: 0

摘要

我们考虑的是一个内容市场,其中有一个广告支持的内容平台和一个具有代表性的生产者,同时存在利他主义的消费者。平台可能会推出不同的补贴政策(即基于内容需求的货币补贴,可直接提高边际利润;或流量补贴,可直接提高内容质量),而生产者在两种定价策略(即固定定价策略和按需付费策略,消费者可根据自己的意愿为内容付费)下生产内容。我们建立了一个风格化模型,并研究了当生产者被授予定价权时,哪种补贴政策对平台来说是更好的选择。在固定定价策略下,当消费者的基本效用不太低或质量成本较低时,平台在流量补贴政策下获得更高的利润;而当消费者的基本效用较高或质量成本较低时,生产者在流量补贴政策下获得更高的利润。因此,在一定条件下,两种补贴政策都能实现 "双赢"。在 "按需付费 "策略下,平台在流量补贴政策中总是获得更高的利润,而当消费者对内容的基本效用较高时,生产者在流量补贴政策中获得更高的利润。因此,只有流量补贴政策才能在一定条件下实现 "双赢"。由于补贴对质量的提升作用与质量成本之间存在权衡,我们观察到,虽然在两种定价策略下,流量补贴政策比货币补贴政策带来更高的内容质量,但与货币补贴政策相比,生产者可以在流量补贴政策下提高或降低其内容质量。我们的论文为内容平台如何为生产者提供正确的补贴政策提供了指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strategic analysis of an ad-supported content platform’s subsidy policy: The perspective of the producer’s pricing strategies
We consider a content market with an ad-supported content platform and a representative producer in the presence of altruistic consumers. The platform may launch different subsidy policies (i.e., a monetary subsidy based on the content demand that directly improves marginal profit or a traffic subsidy that directly improves content quality), and the producer creates content under two pricing strategies (i.e., a fixed pricing strategy and a pay-as-you-wish strategy where consumer can pay for the content as they wish). We develop a stylized model and investigate which subsidy policy is a better choice for the platform when the producer is delegated pricing power. Under a fixed pricing strategy, the platform gets a higher profit in the traffic subsidy policy when the consumers’ basic utility is not too low or the quality cost is small, while the producer gets a higher profit in the traffic subsidy when consumers’ basic utility is high or the quality cost is small. Hence, both subsidy policies can achieve the “win-win” situation under certain conditions. Under the pay-as-you-wish strategy, the platform always gets a higher profit in the traffic subsidy policy, while the producer gets a higher profit in the traffic subsidy policy when the consumers’ basic utility for content is high. Hence, only the traffic subsidy policy can achieve the “win-win” situation under certain conditions. Due to the tradeoff between the subsidy enhancement effect on quality and the quality cost, we observe that although the traffic subsidy policy brings a higher content quality than the monetary subsidy policy under both pricing strategies, the producer can increase or decrease his content quality in the traffic subsidy policy compared with the monetary subsidy policy. Our paper provides guidance on how content platforms can provide the right subsidy policy to the producer.
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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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