当代财经 ›› 2022, Vol. 0 ›› Issue (3): 78-88.

• 企业管理 • 上一篇    下一篇

追加评论功能对网络口碑供需双方的影响研究

徐大鹏, 刘旭东, 洪红   

  1. 哈尔滨工业大学 经济与管理学院,黑龙江 哈尔滨 150001
  • 收稿日期:2021-07-03 出版日期:2022-03-15 发布日期:2022-03-31
  • 通讯作者: 洪红,哈尔滨工业大学副教授,博士生导师,博士,主要从事电子商务与金融科技研究,联系方式honghong@hit.edu.cn。
  • 作者简介:徐大鹏,哈尔滨工业大学博士后,主要从事企业信息管理与电子商务研究;刘旭东,哈尔滨工业大学讲师,博士研究生,主要从事企业信息技术管理研究;
  • 基金资助:
    国家自然科学基金项目“社交媒体环境下投资者生成内容的影响及应用价值研究”(71801063)

A Study of the Impact of Additional Comments Function on eWOM Users

XU Da-peng, LIU Xu-dong, HONG Hong   

  1. Harbin Institute of Technology, Harbin 150001, China
  • Received:2021-07-03 Online:2022-03-15 Published:2022-03-31

摘要: 随着电子商务的不断发展,网络口碑成为消费者了解产品的重要渠道。近年来,电商平台为了提高评论质量,纷纷推出追加评论功能。利用“汽车之家”口碑平台的真实数据,采用自然实验的研究方法,分别从评论者和阅读者视角探究追加评论功能对口碑供需双方用户行为的影响。研究结果表明:对读者而言,追加评论功能可以提高阅读者对评论的感知有用性,从而降低阅读者搜集有用信息的时间成本;对作者而言,追加评论功能可以激发评论者发表评论的热情,促使评论者撰写的评论更加客观。整体而言,追加评论功能的推出优化了传统的评论系统。研究结论不仅丰富了在线评论领域的理论研究,还为在线口碑平台改进评论功能提供了决策参考。

关键词: 在线口碑, 追加评论, 自然实验, 评论者视角, 阅读者视角

Abstract: With the continuous development of e-commerce, online word-of-mouth has become an important channel for consumers to know the product information. In recent years, in order to improve the quality of online comments, the e-commerce platforms have launched the function of additional comments one after another. By making use of the real data obtained from the “AutoHome” platform and adopting the research method of natural experiment, this paper explores the impacts of additional comments function on the users' behavior of both the supply and demand sides for the word-of-mouth from the perspectives of both readers and reviewers. The results show that for the readers, the additional comments function can improve readers' perceived usefulness of the comments, so as to reduce their time costs spent in searching of the useful information; and for the authors, the additional comments function can stimulate the enthusiasm of the reviewers to make comments, urging them to write more objective comments. On the whole, the introduction of the additional comments function can optimize the traditional commenting system. The conclusion of this study has not only enriched the theoretical researches in the field of online comments, but also provided decision references for the online WOM platforms to improve the commenting function.

Key words: online word-of-mouth, additional comments, natural experiment, reader perspective, reviewer perspective

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