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We study and contrast pricing and price evolution of online only (Dotcom) and online branch of multi-channel retailers … their shipping costs that eventually drive the overall average price of Dotcoms higher than that of OBMCRs. Price … dispersions of both types of retailers are persistent. The price dispersion of OBMCRs is higher than that of Dotcoms at the …
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Data brokers collect, manage, and sell customer data. We propose a simple model, in which data brokers sell data to downstream firms. We characterise the optimal strategy of data brokers and highlight the role played by the data structure for co-opetition. If data are “sub-additive”, with...
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Data brokers share consumer data with rivals and, at the same time, compete with them for selling. We propose a “co-opetition” game of data brokers and characterise their optimal strategies. When data are “sub-additive” with the merged value net of the merging cost being lower than the...
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different prices, the dotcoms do charge similar prices. Moreover, both retailer types demonstrate different magnitudes of price … dispersion that move at different rates over time. Although the price dispersion of OBMCRS is higher than that of the dotcoms at … the beginning, the gap narrows over time. -- E-commerce ; online pricing strategies ; online toy market ; price dispersion …
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