Understanding User-Generated Content and Customer Engagement on Facebook Business Pages

• 成果类型: Article
• 署名作者: Yang, Mochen; Ren, Yuqing; Adomavicius, Gediminas
• 署名单位: Indiana University System; Indiana University Bloomington; IU Kelley School of Business; University of Minnesota System; University of Minnesota Twin Cities
• 刊物名称: INFORMATION SYSTEMS RESEARCH
• ISSN/ISSBN: 1047-7047
• DOI: 10.1287/isre.2019.0834
• 发表日期: 2019
• 页码: 839-855
• 关键词: word-of-mouth; online consumer reviews; Social media; perceived helpfulness; product; IMPACT; sales; COMMUNICATION; community; differ

摘要

With the growth and prevalence of social media platforms, many companies have been using them to engage with customers and encourage user-generated content (UGC) about their products and services. However, there has not been much research on the characteristics of UGC on these platforms and, correspondingly, their impact on customer engagement. In this paper, we analyze user-generated posts from Facebook business pages of multiple companies to understand what users post on Facebook business pages and how post valence and content characteristics affect engagement, measured as the number of likes and comments received by a post. We control for a variety of factors, including post linguistic features, poster characteristics, and post context heterogeneity. Our analysis demonstrates that for user-generated posts on Facebook business pages, negative posts are significantly more prevalent than positive posts, which contrasts with the J-shaped valence distribution of online consumer reviews. We also show that engagement depends not only on the valence of a post but also on the specific ways in which a post is positive or negative. We observe three types of customer complaints, respectively, related to product and service quality, money issues, and social and environmental issues. Our analyses show that social complaints receive more likes, but fewer comments, than quality or money complaints. Such nuances can only be uncovered by analyzing the actual post content, going beyond the valence of the posts. Furthermore, we theoretically discuss and empirically demonstrate that liking and commenting are engagement behaviors with different antecedents. For example, positive posts tend to attract more likes yet fewer comments than neutral posts. Overall, our research shows that user-generated posts on Facebook business pages represent a distinctive form of UGC that is conceptually different from online consumer reviews. Our work advances the knowledge on UGC and has practical implications for firms' social media marketing strategy.