Online Product Reviews-Triggered Dynamic Pricing: Theory and Evidence
Publication in refereed journal

替代計量分析
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其它資訊
摘要Prior works offer compelling evidence that on the demand side of the market, user- generated online product reviews play a very important role in informing consumers’ purchase decisions. On the supply side, however, the interplay between online product reviews and firm strategies is less understood. We build an analytical model that differentiates products based on consumers’ preference for tastes (horizontal differentiation) or quality (vertical differentiation) and show that a firm is able to not only manipulate its pricing to influence online product reviews (thus influencing sales), but also adjust pricing dynamically in response to online word-of-mouth. Our model derives rich and testable results on possible price trajectories. To offer empirical support for the analytical predictions, we conduct a panel data study of prices and reviews. We adopt a difference-in-differences framework to address endogeneity challenges.
出版社接受日期28.10.2018
著者Juan Feng, Xin Li, Xiaoquan (Michael) Zhang
期刊名稱Information Systems Research
出版年份2019
月份12
卷號30
期次4
出版社INFORMS
頁次1107 - 1123
國際標準期刊號1047-7047
電子國際標準期刊號1526-5536
語言美式英語
關鍵詞Pricing, Online Product Reviews, Analytical Model, Empirical Study

上次更新時間 2021-11-10 於 23:47