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Understanding the confluence of retailer characteristics, market characteristics and online pricing strategies

机译:了解零售商特征,市场特征和在线定价策略的融合

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Theories from Information Systems, Marketing and Economics suggest that product, retailer, and market characteristics jointly serve as determinants of online retailers' ability to price differentiate. Until now, the empirical research has focused on examining the impact of these determinants in isolation. In this paper, we extend the prior online price dispersion literature by examining the interactions among product, retailer and market characteristics. We construct a multi-level hierarchical linear model to empirically test whether market level characteristics moderate retailer characteristics in explaining price dispersion. Our analysis is based on a dataset of 13,393 price quotes for 1880 best selling products across eight product categories from 194 online retailers. The analysis indicates that service quality has a positive effect on retailer price levels. We observe that the relationship between competitive intensity in a market and retailer price levels is inverted "U" shaped. In contrast, the influence of the interaction between a retailer's service quality and market level variables on retailer price levels is "U" shaped. These findings together provide the first known empirical evidence for the existence of mixed pricing strategies among online retailers. Contrary to conventional wisdom, we find that retailers providing quality service are able to charge higher prices as the competition increases.
机译:信息系统,市场营销和经济学的理论表明,产品,零售商和市场特征共同决定了在线零售商的价格差异化能力。到目前为止,实证研究一直集中于孤立地研究这些决定因素的影响。在本文中,我们通过检查产品,零售商和市场特征之间的相互作用来扩展先前的在线价格分散文献。我们构建了一个多层次的分层线性模型,以经验检验市场水平特征是否适度零售商特征来解释价格差异。我们的分析基于来自194个在线零售商的8个产品类别中1880个最畅销产品的13,393个报价的数据集。分析表明,服务质量对零售商的价格水平有积极影响。我们观察到市场竞争强度与零售商价格水平之间的关系是倒“ U”形的。相反,零售商的服务质量和市场水平变量之间的相互作用对零售商价格水平的影响是“ U”形的。这些发现共同为在线零售商之间存在混合定价策略提供了第一个已知的经验证据。与传统观点相反,我们发现,随着竞争的加剧,提供优质服务的零售商可以收取更高的价格。

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