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首页> 外文期刊>International journal of production economics >Bundling or unbundling? Integrated simulation model of optimal pricing strategies
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Bundling or unbundling? Integrated simulation model of optimal pricing strategies

机译:捆绑还是分拆?最优定价策略的集成仿真模型

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摘要

Bundling is the practice of selling goods together in a package. The extant research has recognised the role of three elements affecting the profitability of bundling strategies: (i) heterogeneity of consumer's reservation prices and their dependence structure; (ii) complementarity of the demand and (iii) economies of scale and scope in production. These major elements are well defined but have never been integrated into one model. We present an integrated simulation model and show how these three elements affect the profitability of different pricing strategies: pure components, pure bundling, and mixed bundling. This approach used recognises the complex relationships which cannot be directly inferred from a purely analytical approach. Multi-scenario analytical scheme flexibly adjusts to different real market conditions. We adopt copula functions in a simulation framework and propose a general form of cost function. We show that the effects of substitutability of the bundle components can be mitigated or even reversed by other supply and demand side factors, such as the correlation of demands or economies of scope. In consequence, studies which do not integrate all these elements can be misleading in the assessment of bundling performance.
机译:捆绑销售是将商品一起打包出售的一种做法。现有的研究已经认识到影响捆绑策略获利能力的三个因素的作用:(i)消费者预订价格的异质性及其依赖性结构; (ii)需求的互补性;(iii)生产的规模经济和范围经济。这些主要元素定义明确,但从未集成到一个模型中。我们提供了一个集成的仿真模型,并展示了这三个要素如何影响不同定价策略的盈利能力:纯组件,纯捆绑销售和混合捆绑销售。所使用的这种方法认识到不能从纯粹的分析方法直接推断出的复杂关系。多场景分析方案可以灵活地适应不同的实际市场条件。我们在仿真框架中采用copula函数,并提出成本函数的一般形式。我们表明,其他供应和需求方面的因素(例如需求之间的相关性或范围经济性)可以减轻甚至逆转成捆组件可替代性的影响。因此,未将所有这些要素整合在一起的研究可能会在评估捆绑性能时产生误导。

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