Production of Online Word-of-Mouth: Peer Effects and the Moderation of User Characteristics
成果类型:
Article
署名作者:
Wang, Yang; Goes, Paulo; Wei, Zaiyan; Zeng, Daniel
署名单位:
Purdue University System; Purdue University; University of Arizona; Chinese Academy of Sciences; Institute of Automation, CAS
刊物名称:
PRODUCTION AND OPERATIONS MANAGEMENT
ISSN/ISSBN:
1059-1478
DOI:
10.1111/poms.13007
发表日期:
2019
页码:
1621-1640
关键词:
Social image
reviews
IMPACT
sales
identification
provision
altruism
feedback
GOODS
size
摘要:
We study peer effects on individuals' contributions to a major form of word of mouth-online reviews. Provided by either consumers or third-party professionals, online reviews influence consumer purchasing decisions and hence sales. Individuals have conflicting incentives of free riding and contributing to social capital when writing reviews. We leverage a natural experiment, which led to an exogenous expansion in the user population of a major online review platform, to better understand the trade-off. Our empirical findings are mainly twofold. First, we find that a larger population of audience and peer review writers, an immediate consequence of the exogenous shock, cause individuals to write more reviews with higher quality and assign higher but also more diverse ratings. In addition, we find heterogeneity in peer effects by user activeness, expertise, and popularity. Our findings have implications for companies in managing online feedbacks and for platforms that rely on user contributions.