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首页> 外文期刊>Discrete dynamics in nature and society >Exploring Determinants of Attraction and Helpfulness of Online Product Review: A Consumer Behaviour Perspective
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Exploring Determinants of Attraction and Helpfulness of Online Product Review: A Consumer Behaviour Perspective

机译：探索在线产品评论的吸引力和助人的决定因素：消费者行为的观点

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摘要

To assist filtering and sorting massive review messages, this paper attempts to examine the determinants of review attraction and helpfulness. Our analysis divides consumers' reading process into "notice stage" and "comprehend stage" and considers the impact of "explicit information" and "implicit information" of review attraction and review helpfulness. 633 online product reviews were collected from Amazon China. A mixed-method approach is employed to test the conceptual model proposed for examining the influencing factors of review attraction and helpfulness. The empirical results show that reviews with negative extremity, more words, and higher reviewer rank easily gain more attraction and reviews with negative extremity, higher reviewer rank, mixed subjective property, and mixed sentiment seem to be more helpful.The research findings provide some important insights, which will help online businesses to encourage consumers to write good quality reviews and take more active actions to maximise the value of online reviews.
机译：为了帮助过滤和分类大规模审查消息，本文试图检查审查吸引力和助人的决定因素。我们的分析将消费者的阅读过程分为“通知阶段”和“理解阶段”，并考虑了“明确信息”和“隐含信息”的影响，审查吸引力和审查助人。 633在线产品评论是从亚马逊中国收集的。采用混合方法方法来测试提议的概念模型，以检查审查吸引力和助人的影响因素。经验结果表明，负肢体的评论，更多的单词和更高的审稿人排名很容易获得负面肢体，更高的审稿人等级，混合主观性的更多的吸引力和评论，以及混合情绪似乎更有帮助。研究结果提供了一些重要的洞察力，这将有助于在线企业鼓励消费者编写优质的评论，并采取更积极的行动来最大限度地提高在线评论的价值。

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