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- W2247667454 abstract "We examine retailers that maximize their relative profit, which is the (absolute) profit relative to the average profit of the other retailers. Customer behavior is modelled by a multinomial logit (MNL) demand model. Although retailers with low retail prices attract more customers than retailers high retail prices, the retailer with the lowest retail price, according to this model, does not attract all the customers. We provide first and second order derivatives, and show that the relative profit, as a function of the own price, has a unique local maximum. Our experiments show that relative profit maximizers beat absolute profit maximizers, i.e. They outperform absolute profit maximizers if the goal is to make a higher profit. These results provide insight into market simulation competitions, such as the Power TAC." @default.
- W2247667454 created "2016-06-24" @default.
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- W2247667454 date "2015-12-01" @default.
- W2247667454 modified "2023-10-18" @default.
- W2247667454 title "Winning in Retail Market Games: Relative Profit and Logit Demand" @default.
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- W2247667454 doi "https://doi.org/10.1109/ssci.2015.250" @default.
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