The Impact of Online Product Reviews on Retailer's Pricing and Return Policy Decisions

M. Altug
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引用次数: 2

Abstract

After a purchase, customers increasingly feel more comfortable sharing their experience in the form of online product reviews, which help resolve future buyers' valuation uncertainty for that product. On the other hand, retailers offer lenient return policies that also help with customers' ex-ante valuation uncertainty. We consider a monopolist retailer that sells a new experience good over two periods and makes pricing and refund decisions. Because returns for these types of products are generally associated with lack of or inadequate functionality, a customer review mentioning a return experience generally creates a negative sentiment. Consequently, in this environment, a higher refund not only increases the volume of returns which need to be resold at a discounted price, but also creates more reviews that will have a negative sentiment. Similarly, a lower refund (and the associated lower price) would decrease the return volume and increase the fraction of customers writing positive reviews. Using a framework in which the negative reviews are weighed more heavily compared to the positive ones, surprisingly, we show that the retailer offers even a more generous refund compared to the benchmark setting with no reviews. In a duopolistic competition, the overall common sentiment of the on-line reviews are influenced by the refund and pricing decisions of both retailers; in other words, a customer with the same valuation purchasing the same product at different price and refund values will have a different ex-post utility and experience. Interestingly, we show that the retailers make their returns even more lenient compared to not only the benchmark setting with no reviews, but also the monopolist retailer with the same salvage value when their decision collectively determine the review sentiment. In both settings, we show that the refund increases with salvage value, valuation heterogeneity, second-period demand and decreases with first-period demand. We show that our results remain robust when i) consumers incur hassle cost ii) consumers have ex-ante valuation heterogeneity iii) the second-period valuation uncertainty is partially resolved with reviews.
在线产品评论对零售商定价和退货政策决策的影响
在购买后,消费者越来越愿意以在线产品评论的形式分享他们的体验,这有助于解决未来买家对该产品估值的不确定性。另一方面,零售商提供宽松的退货政策,这也有助于消除顾客事前估值的不确定性。我们考虑一个垄断零售商,它在两个周期内销售一种新的体验商品,并做出定价和退款决定。由于这类产品的退货通常与缺乏或功能不足有关,因此提到退货体验的客户评论通常会产生负面情绪。因此,在这种环境下,更高的退款不仅会增加退货量,需要以折扣价转售,还会产生更多负面评论。同样,较低的退款(以及相应的较低价格)将减少回头量,并增加撰写正面评论的客户比例。使用负面评价比正面评价权重更大的框架,令人惊讶的是,我们发现与没有评论的基准设置相比,零售商提供的退款甚至更慷慨。在双寡头竞争中,在线评论的整体共同情绪受到零售商的退款和定价决策的影响;换句话说,具有相同估值的客户以不同的价格和退款值购买相同的产品,将具有不同的事后效用和体验。有趣的是,我们表明,零售商的回报不仅比没有评论的基准设置更宽松,而且当他们的决定共同决定评论情绪时,具有相同剩余价值的垄断零售商的回报也更宽松。在这两种情况下,我们都表明退款随残值、估值异质性、第二期需求而增加,随第一期需求而减少。我们表明,当i)消费者产生麻烦成本ii)消费者具有事前估值异质性iii)第二期估值不确定性通过评估部分解决时,我们的结果仍然稳健。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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