An increasing number of hotel booking platforms and review websites deploy multidimensional rating systems to encourage users to provide additional evaluations of a product/service besides the overall rating. However, providing the itemized ratings of a product/service requires extra effort which makes users tend to post identical ratings (default setting). According to the information transfer theory, we postulate that rating diversity enhances review usefulness within the multidimensional rating system and; based on the loss aversion phenomenon, we also posit that the positive effect of rating diversity on review usefulness should be greater among negative reviews. Using a sample of 1,720,429 hotel reviews, this study reveals that while rating diversity enhances review usefulness, its effect varies across the valence of each review; specifically, the positive effect of rating diversity mainly functions among negative reviews. These findings yield direct implications for hotel booking platforms or review websites that deploy multidimensional rating systems.

越来越多的酒店预订平台和评论网站部署多维评分系统，以鼓励用户在整体评分之外对产品/服务提供额外的评价。然而，提供产品/服务的逐项评级需要额外的努力，这使得用户倾向于发布相同的评级（默认设置）。根据信息传递理论，我们假设评级多样性增强了多维评级系统中的评论有用性；基于损失厌恶现象，我们还假设评级多样性对评论有用性的积极影响应该在负面评论中更大。本研究使用 1,720,429 条酒店评论作为样本，揭示了虽然评级多样性提高了评论的有用性，但其效果因每条评论的效价而异；具体来说，评级多样性的积极作用主要在负面评论中发挥作用。这些发现对部署多维评级系统的酒店预订平台或评论网站产生直接影响。