Dynamic pricing strategy for content products considering consumer fairness concerns and strategic behavior

Hongyu Hou, Feng Wu, Xin Huang
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Abstract

PurposeThe development of the digital age has made data and information more transparent, enhancing the strategic perspectives of both buyers (strategic waiting) and sellers (price fluctuations) in their decision-making. This research investigates the optimal dynamic pricing strategy of the content product developer in relation to their consideration of consumer fairness concerns to elucidate the impact of consumer fairness concerns on the dynamic pricing strategy of the developer.Design/methodology/approachThis paper assumes that monopolistic content developers implement a dynamic pricing strategy for the content product. Through constructing a two-period dynamic pricing game model, this research investigates the optimal decisions of the content developer, contingent upon their consideration or disregard of consumer fairness concerns. In the extension section, the authors additionally account for the influence of myopic consumers on these optimal decisions.FindingsOur findings reveal that the degree of consumer fairness concerns significantly influences the developer’s optimal dynamic pricing decision. When a developer offers content products with lower depth, there is a propensity for the developer to refrain from incorporating consumer fairness concerns into a dynamic pricing strategy. Conversely, in cases where the developer offers a high-depth content product, consumer fairness concerns benefit the developer. Furthermore, our analysis reveals a consistent benefit for the developer from the inclusion of myopic consumers.Originality/valueFew studies have delved into the conjoined influence of consumer fairness concerns and strategic behavior on dynamic pricing strategy. Our findings indicate that consumer fairness concerns can enhance the efficiency of the value chain for content products under specific conditions. This paper not only enriches the existing literature on dynamic pricing by incorporating consumer fairness concerns theoretically but also offers practical insights. The outcomes of this research can guide content product developers in devising optimal dynamic pricing strategies.
考虑消费者公平性和战略行为的内容产品动态定价策略
目的数字时代的发展使数据和信息更加透明,增强了买方(战略等待)和卖方(价格波动)在决策中的战略视角。本文研究了内容产品开发商在考虑消费者公平性问题时的最优动态定价策略,以阐明消费者公平性问题对开发商动态定价策略的影响。通过构建一个两期动态定价博弈模型,本研究探讨了内容开发商在考虑或不考虑消费者公平问题时的最优决策。在扩展部分,作者还考虑了近视消费者对这些最优决策的影响。研究结果我们的研究结果表明,消费者对公平性的关注程度会极大地影响开发商的最优动态定价决策。当开发者提供的内容产品深度较低时,开发者倾向于避免将消费者公平性问题纳入动态定价策略。相反,在开发商提供高深度内容产品的情况下,消费者的公平考虑会使开发商受益。此外,我们的分析表明,将近视眼消费者纳入动态定价策略对开发商的好处是一致的。原创性/价值很少有研究深入探讨消费者的公平顾虑和战略行为对动态定价策略的共同影响。我们的研究结果表明,在特定条件下,消费者的公平关切可以提高内容产品价值链的效率。本文不仅在理论上纳入了消费者公平顾虑,丰富了现有的动态定价文献,而且还提供了实践启示。研究成果可指导内容产品开发商制定最佳动态定价策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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