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被评论左右:在线口碑中平均评分与个体评论效应的分离

Swayed by the reviews: Disentangling the effects of average ratings and individual reviews in online word‐of‐mouth

Production and Operations Management · 2022
被引 56
人大 AFT50UTD24ABS 4

中文导读

通过构建平均评分与置顶评论不一致的权衡情境,研究发现个体评论对消费者决策有显著影响,挑战了平均评分是主要驱动力的传统观点。

Abstract

Online word‐of‐mouth studies generally assume that a product's average rating is the primary force shaping consumers’ purchase decisions and driving sales. Similarly, practitioners place more emphasis on average ratings by displaying them at more salient places than individual reviews. In contrast, emerging evidence suggests that individual reviews also affect the decision‐making of those consumers who consult both kinds of information. However, because average ratings and individual reviews are often correlated and confounded empirically, little research has attempted to disentangle their effects. To address this empirical challenge, we construct trade‐off situations in which the average ratings and top‐ranked reviews of different product options do not align with each other. We then investigate consumers’ preferences that can indirectly reveal the relative impact of average ratings versus top reviews. Through an archival analysis of a panel dataset and two laboratory experiments, we find consistent evidence for a swaying effect of individual reviews and reveal their textual content as a likely reason. These findings challenge the commonly accepted assumption of average ratings being the primary driver of consumers’ purchase decisions and suggest that consumers may not be as rational as previous literature assumed. In addition, this paper is the first to disentangle the effects of average ratings and individual reviews on consumer decision‐making and explore a possible reason for the swaying effect of individual reviews. Our paper illustrates the importance of information accessibility in consumers’ purchase decisions, and our findings offer valuable insights for product manufacturers, online retailers, and review platforms.

在线口碑消费者决策平均评分个体评论信息可及性