方佳明, 殷娜嘉. 在线产品类型的调节效应研究:评论主题分散度视角[J]. 电子科技大学学报社科版, 2021, 23(1): 46-54. DOI: 10.14071/j.1008-8105(2020)-6021
引用本文: 方佳明, 殷娜嘉. 在线产品类型的调节效应研究:评论主题分散度视角[J]. 电子科技大学学报社科版, 2021, 23(1): 46-54. DOI: 10.14071/j.1008-8105(2020)-6021
FANG Jia-ming, YIN Na-jia. Research on the Moderation Effect of Online Product Type: From the Perspective of Review Dimension[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2021, 23(1): 46-54. DOI: 10.14071/j.1008-8105(2020)-6021
Citation: FANG Jia-ming, YIN Na-jia. Research on the Moderation Effect of Online Product Type: From the Perspective of Review Dimension[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2021, 23(1): 46-54. DOI: 10.14071/j.1008-8105(2020)-6021

在线产品类型的调节效应研究:评论主题分散度视角

Research on the Moderation Effect of Online Product Type: From the Perspective of Review Dimension

  • 摘要:
    目的/意义评论主题分散度指一条评论中涉及的产品属性维度的数量。评论主题分散度越大,该评论更全面。在线产品的评论主题传递了该产品多维度的特征信息,可以显著影响消费者的购买决策,但目前尚无有关评论主题分散度成因的研究。
    设计/方法通过获取了天猫平台商品评论数据共248 881条,分析了两个评论文本特征——评论长度、评论情感强度对评论主题分散度的影响,并阐释了不同产品类型对评论主题分散度的调节效应。
    结论/发现通过建立回归模型,发现相较于购买搜索型产品的消费者,购买体验型产品的消费者能够提供更为全面的评论信息。同时,回归结果表明,产品类型分别调节了评论长度、评论情感强度与评论主题分散度之间的关系。使用了六种不同的稳健性方法进一步确保了上述结论的可靠性。该研究结果丰富并拓展了评论主题分散度的相关理论研究,并对电商平台管理者和线上零售商优化在线评论管理策略具有指导价值。

     

    Abstract: Purpose/Significance Review dimension refers to the number of product attribute dimensions involved in an online review. The more the review dimension is, the more comprehensive the review is. Review dimension conveys the multi-dimensional information of a product, which saliently affects consumers' purchase decisions. But there is little study on the causes of review dimension. Design/Methodology In this paper, 248,881 pieces of review data on Tmall platform were analyzed, and the influence of two review content characteristics, review length and sentimental strength, and product type on review dimension was demonstrated. A regression model was conducted. Findings/Conclusions The results indicate that consumers of experience products tend to deliver more information than consumers of search products. The results also reveal that review length and sentimental strength have positive impacts on the review dimension, and product type has a significant moderation effect upon the relationships. Six methods were used to confirm the reliability of the above conclusions. The findings not only enrich the researches on review dimension, but offer suggestions for e-commerce platforms and online retailers to effectively manage online reviews.

     

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