Online Product Reviews-Triggered Dynamic Pricing: Theory and Evidence
作者: Juan FengXin LiXiaoquan (Michael) Zhang
作者单位: 1Department of Information Systems
2College of Business
3City University of Hong Kong
5Hong Kong
6;Department of Information Systems
7;Department of Decision Sciences and Managerial Economics
8Business School
9Chinese University of Hong Kong
10New Territories
刊名: Information Systems Research, 2019
来源数据库: Institute for Operations Research and the Management Sciences
DOI: 10.1287/isre.2019.0852
关键词: PricingOnline product reviewsAnalytical modelEmpirical study
原始语种摘要: 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...
全文获取路径: INFORMS 

  • prices 行情
  • pricing 定价
  • product 产物
  • empirical 经验的
  • panel 
  • market 市场
  • preference 优选
  • demand 需用电力
  • purchase 购买
  • online 联机