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Optimal price and maximum deal size on group-buying websites for sellers with finite capacity

机译:容量有限的卖家在团购网站上的最优价格和最大交易规模

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This paper presents an analytical model for sellers with finite capacity to optimise their price and maximum deal size limit on group-buying websites. For the general demand functions that satisfy some mild regularity conditions, the optimal strategies and the corresponding deal parameters are characterised. The optimal strategies demonstrate that deep online discounts (selling products below the cost or even selling products for free) can be optimal if the maximum deal size is used strategically. Moreover, deep discounts can be beneficial even if the capacity is tight, which explains the use of deep discounts commonly observed in practice. Our results also provide the operators of group-buying websites with useful suggestions on how to induce sellers to offer deep discounts. Sensitivity analysis with regard to the minimum deal size and capacity is provided. Our analysis shows that counter-intuitively selling out capacity may not always be optimal, even if the amount of capacity cannot satisfy the unconstrained optimal sales quantity online. Finally, we extend the model to consider offline prices being sellers' decisions and discuss the robustness of the optimal strategies when the demand is stochastic.
机译:本文为具有有限能力的卖家提供了一种分析模型,可以优化其价格和团体购买网站上的最大交易规模限制。对于满足某些温和规律性条件的一般需求函数,表征了最优策略和相应的交易参数。最佳策略表明,如果有策略地使用最大交易量,那么进行深层在线折扣(以低于成本的价格出售产品,甚至免费出售产品)可能是最佳的。此外,即使容量有限,深度折扣也可能是有益的,这解释了在实践中通常会使用深度折扣。我们的结果还为团购网站的运营商提供了有关如何诱使卖家提供大幅折扣的有用建议。提供了有关最小交易量和最小交易量的敏感性分析。我们的分析表明,即使容量不能满足不受约束的最佳在线销售量,违反直觉的销售能力也不一定总是最优的。最后,我们扩展模型以将脱机价格视为卖方的决定,并讨论需求随机时最优策略的鲁棒性。

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