Distinguishing consumer behavior diversities in different markets based on online reviews

Zhen Qiu, Jinbo Zhang, Di Liu, Qiyuan Wang, Chunyang Li, Xiaozhen Li, Wei Cui, Xueying Ding
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Abstract

This study aims to investigate how does market differences influence consumers behavior when reading online reviews. To this end, we propose a conceptual model from the perspective of content quality and source quality to explore the determinants of review helpfulness. We demonstrate that consumers ranking behaviors show differences in different movie markets, due to the cultural influences. We collected reviews from IMDB.com (the famous US movie database) and douban.com (the famous China movie database). The results demonstrate that there are significant differences across two different movie markets (China and US). Specifically, online reviews length, review extremity, reviewer centrality and reviewer experience have great positive impact on reviews usefulness. We found that long sentences and the extreme emotion has much bigger helpfulness and persuasive effects in individualist societies (US) than collectivist societies (China); while the effects of reviewer centrality and reviewer experience to review usefulness are inclined to be same in two markets. The findings give a better understanding of online reviewer behaviors across different markets and provide important insights into emerging movie markets such as China.
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基于在线评论区分不同市场的消费者行为多样性
本研究旨在探讨市场差异如何影响消费者在阅读网上评论时的行为。为此,我们从内容质量和来源质量的角度提出了一个概念模型来探讨评论有用性的决定因素。我们发现,由于文化的影响,不同电影市场的消费者排名行为存在差异。我们收集了来自imdb(美国著名电影数据库)和豆瓣(中国著名电影数据库)的评论。结果表明,在两个不同的电影市场(中国和美国)之间存在显著差异。其中,在线评论长度、评论极值、评论者中心性和评论者经验对评论有用性有显著的正向影响。我们发现长句和极端情绪在个人主义社会(美国)比集体主义社会(中国)具有更大的帮助和说服作用;而审稿人中心性和审稿人经验对审稿人有用性的影响在两个市场中趋于相同。这些发现有助于更好地了解不同市场的在线评论行为,并为中国等新兴电影市场提供重要见解。
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