营销科学学报 ›› 2023, Vol. 3 ›› Issue (2): 56-77.

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衡量个体在网络中受到的社会影响——四种指标的对比

刘行,徐云杰   

  1. 刘行,复旦大学管理学院博士研究生 E-mail:18110690013@fudan.edu.cn  徐云杰,通信作者,复旦大学管理学院教授 E-mail:yunjiexu@fudan.edu.cn
  • 出版日期:2023-04-16 发布日期:2023-08-24
  • 基金资助:
    本研究得到国家自然科学基金项目(71531006)的资助。

Measuring Received Social Influence in Social Networks: A Comparison of Four Measures

Liu Xing, Xu Yunjie   

  1. Liu Xing, School of Management, Fudan University
    Xu Yunjie,School of Management, Fudan University
  • Online:2023-04-16 Published:2023-08-24

摘要: 线上产品评论社会网络是一种以产品信息和消费者口碑为主要内容的社会网络,例如豆瓣。在线上产品评论社会网络中,消费者既可以发表产品使用体验,也可以浏览朋友的产品评论,从而在朋友的口碑影响下做出购买决策。本文提出了两种新的社会影响衡量指标,即频率指标和频率评分指标。这两个指标都包含了个体网络的结构特征,前者考虑了消费者之间的实际互动频率,后者进一步考虑了口碑效价。本文还构建了文献中的两种指标作为基准指标,即关系指标和网络暴露指标。前者用与个体直接联系的朋友中使用者的数量衡量个体受到的社会影响,后者用与个体直接联系的朋友中使用者的比例衡量个体受到的社会影响。通过实证对比,频率评分指标展现了更好的效标效度,它不仅更加符合消费者行为理论所假设的个体受到的社会影响与购买行为之间的关系,也具有更好的统计显著性和模型拟合度。该指标可以用来衡量消费者所受的社会影响,商家也可以据此识别易感人群。该指标也为验证社会影响对消费者决策的作用提供了更精准的测度工具。

关键词: 线上产品评论社会网络, 社会影响, 易感性, 口碑, 易感人群, 效标效度

Abstract: The online product review social network is a social network with product information and reviews, such as Dou- ban. com. In online product review social network, consumers can not only post product reviews, but also browse friends’ product reviews. Hence, their product purchasing decisions are under the influence of word -of- mouth ( WOM). This paper proposes two novel social influence measures, namely the frequency measure and the frequency-rating measure. Both measures include the structural characteristics of one's network. The former considers actual interaction frequency between consumers f and the latter further considers the valence of WOM. This paper employs two benchmarks from literature, namely the relationship measure and the network exposure measure. The former measures one's social influence by the number of users among his friends, and the latter refers to the proportion of users among his friends. We empirically compare the four measures. The results indicate the frequency-rating measure has the best criterion validity, which is not only in line with the relationship between the social influence and purchasing behavior as suggested by theories of the consumer behavior, but also has better statistical significance and model fit. Hence, it can be used to measure the social impact of consumers, and businesses can also use it to identify susceptible consumers. It provides a more accurate measure for verifying the effect of social influence on consumer purchase.

Key words: online product review social network , social influence , word-of-mouth , susceptible consumers , criterion validity