The Impact of Negative Reviews on Online Search and Purchase Decisions

Author:

Varga Marton,Albuquerque PauloORCID

Abstract

Despite evidence indicating the significant influence of online reviews on purchase decisions, even after considering a product's average rating ( Vana and Lambrecht 2021 ), the underlying factors behind this effect and the broader impact of reviews on consumer decision making remain uncertain. This study uses clickstream data from a major online retailer to explore how negative reviews affect consumer search and purchase decisions. Leveraging exogenous variation created by the display of online reviews sorted by recency, the authors find that negative reviews significantly reduce a product's purchase probability because they (1) contrast with the often-high average product rating, (2) decrease the probability that consumers continue browsing for information about the focal product, (3) increase the probability of visiting the page of substitute products, and (4) increase the probability of viewing reviews about substitute products. Importantly, these effects apply to utilitarian products but not hedonic products and when reviews pertain to product functionality or customer service but not to taste-related factors. The authors estimate a product's vulnerability to negative reviews along two dimensions—purchase and search probability for substitutes—and display these effects on a two-dimensional map.

Publisher

SAGE Publications

Subject

Marketing,Economics and Econometrics,Business and International Management

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Product Review Reading and Rating Statistics: How Do They Affect Consumer Product Evaluation?;International Journal of Consumer Studies;2024-08-22

2. Online reviews: A literature review and roadmap for future research;International Journal of Research in Marketing;2024-08

3. Opinion distribution: spatial sentiment analysis of online restaurant reviews through BERT model and GIS;Fourth International Conference on Signal Processing and Machine Learning (CONF-SPML 2024);2024-04-01

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