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Pure Components VS Full Mixed Bundling When Stackelberg Pricing

Pure Components VS Full Mixed Bundling When Stackelberg Pricing
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摘要 Current literatures assume that a consumer’s willing to pay(WTP) for a bundle is equal to the sum of his or her separate reservation prices for the component goods and concludes that mixed bundling is superior to pure components in a monopoly market. However, full mixed bundling is a discount conduct in order to attract more consumers, and the price of the bundle must be lower than the sum of the prices of two products, which must be considered in a consumers’ WTP for the bundle.Then, if consumers’ reservation prices are heterogeneous and subject to the uniform distribution, we can draw opposite conclusions: Full mixed bundling is disadvantageous to firms when Stackelberg pricing.The profit under full mixed bundling is less than that under pure components. Current literatures assume that a consumer's willing to pay(WTP) for a bundle is equal to the sum of his or her separate reservation prices for the component goods and concludes that mixed bundling is superior to pure components in a monopoly market. However, full mixed bundling is a discount conduct in order to attract more consumers, and the price of the bundle must be lower than the sum of the prices of two products, which must be considered in a consumers' WTP for the bundle.Then, if consumers' reservation prices are heterogeneous and subject to the uniform distribution, we can draw opposite conclusions: Full mixed bundling is disadvantageous to firms when Stackelberg pricing.The profit under full mixed bundling is less than that under pure components.
出处 《Journal of Systems Science and Information》 CSCD 2017年第5期435-445,共11页 系统科学与信息学报(英文)
基金 Supported by the National Natural Science Foundation of China(71571024) Ministry of Education of China(14YJA630087,15YJA630058)
关键词 willing to pay PRICING consumers' purchasing decisions firms' bundling strategy willing to pay pricing consumers' purchasing decisions firms' bundling strategy
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