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Consumers' preference modeling to price bundle offers in the telecommunications industry: a game with competition among operators

机译:消费者对电信行业价格捆绑优惠的偏好建模:运营商之间竞争的博弈

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摘要

Network operators are merging their services, such as fixed or wireless telephony, internet or television, into single offers, called bundles. It is essential to understand consumers' preferences to define the most profitable bundles, with their associated prices, especially in the fierce competitive current market. We start by defining a random linear utility model and then, analyze the competition between an integrated operator and new entrants proposing substitutable services. Each operator ignores the consumers' reservation prices for his offers and has to deal with uncertainties about the marketing strategies of competitors, due to potential different size and cost structure. A two-level game is introduced and solved by backward induction. In the second level, the operators determine their optimal offer prices for each possible combination of marketing strategies while the consumers select their most profitable purchasing processes; the natural framework is that of Bayesian game theory. Finally at the top level, knowing the outcome of the other level, the operators identify which marketing strategy to use between market share expansion, segment targeting or multi-level price discrimination, to maximize their expected utilities conditionally to their private informations.
机译:网络运营商正在将其服务(例如固定或无线电话,互联网或电视)合并为一个单独的优惠(称为捆绑)。必须了解消费者的喜好,以定义最有利可图的捆绑产品及其相关价格,尤其是在竞争激烈的当前市场中。我们从定义随机线性效用模型开始,然后分析综合运营商与提出可替代服务的新进入者之间的竞争。由于潜在的规模和成本结构不同,每个运营商都忽略了消费者对其报价的保留价格,并且不得不应对竞争对手的营销策略的不确定性。引入了两层游戏,并通过向后归纳法解决。在第二级中,运营商根据营销策略的每种可能组合确定最佳报价,而消费者则选择最有利可图的购买流程;自然框架是贝叶斯博弈论的框架。最后,在最高层,了解其他层级的结果,运营商确定在市场份额扩大,细分受众群定位或多级价格歧视之间使用哪种营销策略,以有条件地最大化其私人信息的预期效用。

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