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Can Lower(ed) Expert Opinions Lead to Better Consumer Ratings?: The Case of Michelin Stars

铅(地质) 星星 业务 营销 广告 计算机科学 地质学 地貌学 计算机视觉
作者
Xingyi Li,Yiting Deng,Puneet Manchanda,Bert De Reyck
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
卷期号:72 (3): 2427-2450 被引量:3
标识
DOI:10.1287/mnsc.2023.04302
摘要

Expert opinion exerts tremendous influence on the purchase journey, but its effect on overall consumer experience is ambiguous because it can give rise to both “expectation” and “reputation” effects. This paper explores the effect of expert opinions on consumer experience via the lens of consumer reviews in the restaurant industry, where the expert opinions are conveyed by Michelin stars. The paper uses a unique data set based on the Michelin Guide for Great Britain & Ireland from 2010 to 2020. The data include consumer reviews on TripAdvisor for all restaurants that were awarded Michelin stars during this period and a large pool of potential control restaurants. We apply two synthetic control–based methods to estimate the effect of Michelin star changes on the sentiment and content of consumer reviews. We find that decreases in Michelin stars improve consumer review ratings. We examine three potential explanations for this finding. First, the positive expectation effect of lowered expert opinions outweighs the negative reputation effect. Second, there could be a change in the customer mix. Third, there may be a changes on the supply side, for example, in service levels. We find support for the first explanation, rule out the second, but cannot entirely rule out the third. The analysis of review content further shows that a loss in Michelin stars leads consumers to become less focused on value and become less demanding regarding service. We discuss the implications of our findings for restaurant managers, the Michelin Guide, and other businesses that provide experience goods. This paper was accepted by Eric Anderson, marketing. Supplemental Material: The online appendices and data files are available at https://doi.org/10.1287/mnsc.2023.04302 .
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