›› 2017, Vol. 29 ›› Issue (10): 95-107.

• 电子商务与信息管理 • 上一篇    下一篇

影响在线评论有用性的因素研究

闵庆飞, 覃亮, 张克亮   

  1. 大连理工大学管理与经济学部, 大连 116024
  • 收稿日期:2015-07-31 出版日期:2017-10-28 发布日期:2017-11-01
  • 通讯作者: 覃亮(通讯作者),大连理工大学管理与经济学部硕士研究生
  • 作者简介:闵庆飞,大连理工大学管理与经济学部教授,博士生导师;张克亮,大连理工大学管理与经济学部博士研究生
  • 基金资助:

    国家自然科学基金项目(71301021;71431002)。

Factors Affecting the Perceived Usefulness of Online Reviews

Min Qingfei, Qin Liang, Zhang Keliang   

  1. Faculty of Management and Economics, Dalian University of Technology, Dalian 116024
  • Received:2015-07-31 Online:2017-10-28 Published:2017-11-01

摘要:

本研究主要关注系统操控、评论者社交网络以及评论集合特征三个要素对在线评论有用性的影响。通过太平洋电脑网3027个有效样本的实证分析发现,电商系统对评论的直接操控会显著的影响评论有用性。同时,除了评论者的社交网络数量,评论者的社交网络质量也可以作为评论有用性预测的指标。最后,考虑了评论的个体特征和评论集合特征之后,发现评论个体特征对评论有用性的影响会受到评论集合平衡性的调节。评论全面性对评论有用性的影响在积极的评论集合中更为重要。

关键词: 在线评论, 系统操控, 平衡性, 评论集合

Abstract:

Our model focuses on the effect of system manipulation, social network of reviewer and characteristics of review on the perceived usefulness (PU) of online reviews. This paper uses the data collected from Pconline.com to empirically validate our model. The result reveals that the direct manipulation of the system will significantly affect the PU of online reviews. Meanwhile, except for the number of fans, the quality of fans should also be highlighted which will eventually impose a nuanced influence on the PU. Considering the individual characteristics and overall characteristic of online review, we find that the overall characteristic of online reviews will moderate the effect of individual characteristics on PU. The effect of two-sided reviews on the PU is stronger in the review set of positive balance (the ratio of positive to negative reviews).

Key words: online reviews, system manipulation, balance, review set