步入式潜在消费者购买意愿价格呈正态分布的两期定价模型

hsien-bin Wang, Miao-Sheng Chen, M. Li
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引用次数: 1

摘要

最优模型主要是针对房地产、游乐园、大型家具等产品本身不能在公共场合移动或穿戴,无法向其他消费者展示的情况,来解释其最优促销定价策略。在扩展的Bass扩散模型中,研究采用了扩散能力的双重来源,即潜在消费者的数量和产品的价格水平。给定的时期[0,T)和[T,¯T) T <¯T, T¯也许∞当一个公司试图决定价格P 0在[0,T)和价格P T内(T,¯T),分别实现贴现利润最大化的目标区间[0,T¯),其最优解的特点(P∗0,P∗T)在每个时期严格推导和深刻的讨论。该两期定价模型可以推广为无限多期最优定价模型,成为价格控制问题。研究进一步得出结论,新产品初始化后,其价格应随着时间的推移而下降,以利用它,耗尽消费者的消费者剩余。
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Two-Period Pricing Model for Walk-in Potential Consumers with Normal Distribution of the Price of Their Willing to Buy
The optimal model was mainly constructed for the products, such as real estates, amusement park, or major furniture which themselves cannot be moved or worn to reveal to other consumers in public, to explain their optimal promotional pricing strategy. The study adopted the dual sources of the diffusion power, the number of walk-in potential consumers and the price level of the product, in the extended Bass Diffusion Model. Given periods of [0 , T ) and [ T, ¯ T ), T < ¯ T , and ¯ T maybe ∞ when a firm attempts to decide price P 0 within [0 , T ) and price P T within [ T, ¯ T ), respectively, to achieve the goal of maximizing discounted profit in the interval [0 , ¯ T ), the characteristics of its optimal solution ( P ∗ 0 , P ∗ T ) at each period were rigorously derived and profoundly discussed. This two-period model pricing could be extended to an infinite multiple-period optimal pricing model to become the issue of price control. The study would further conclude that, after a new product is initialized, its price should decline with time to take advantage of it with exhausting the consumer surplus of consumers.
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来源期刊
International Journal of Information and Management Sciences
International Journal of Information and Management Sciences Engineering-Industrial and Manufacturing Engineering
CiteScore
0.90
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0.00%
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期刊介绍: - Information Management - Management Sciences - Operation Research - Decision Theory - System Theory - Statistics - Business Administration - Finance - Numerical computations - Statistical simulations - Decision support system - Expert system - Knowledge-based systems - Artificial intelligence
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