What makes online reviews useful? Evidence from douban.com

Mei He, Huifang Jiao
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Abstract

With the increasing popularity of online reviews, online reviews have become one of the important reference information for people to make purchasing decisions. However, the large amount of review information increases the cognitive cost of consumers, making it impossible to distinguish between useful information. In this research, we start from the new perspective of “peer-to-peer review” to explore the factors that affect the usefulness of reviews. We use the ELM model as the research framework, using 1359 film reviews on Douban to conduct empirical research. The results of the study show that central and peripheral cue of reviews are significantly correlated with the perceived usefulness of reviews. Furthermore, this study finds peer review is an important screening mechanism. In particular, when there are both central and peripheral clues in the reviews, they will enhance the information decision-making ability. The study makes theoretical contributions to the literature on ELM theory of online review in the third platform like Douban, and provide managerial implication for online platforms and consumers.
是什么让在线评论有用?证据来自豆瓣网
随着网上评论的日益普及,网上评论已经成为人们进行购买决策的重要参考信息之一。然而,大量的评论信息增加了消费者的认知成本,使得消费者无法区分有用的信息。本研究从“对等评议”的新视角出发,探讨影响评议有用性的因素。我们以ELM模型作为研究框架,以豆瓣上1359篇影评进行实证研究。研究结果表明,评价的中心线索和外周线索与评价的感知有用性显著相关。此外,本研究发现同行评议是重要的筛选机制。特别是当复习中既有中心线索又有外围线索时,会增强信息决策能力。本研究为豆瓣等第三方平台在线评论的ELM理论文献做出了理论贡献,为网络平台和消费者提供了管理启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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