Motivating User-Generated Content with Performance Feedback: Evidence from Randomized Field Experiments

• 成果类型: Article
• 署名作者: Huang, Ni; Burtch, Gordon; Gu, Bin; Hong, Yili; Liang, Chen; Wang, Kanliang; Fu, Dongpu; Yang, Bo
• 署名单位: Arizona State University; Arizona State University-Tempe; University of Minnesota System; University of Minnesota Twin Cities; Renmin University of China; Capital University of Economics & Business; Renmin University of China
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.2017.2944
• 发表日期: 2019
• 页码: 327-345
• 关键词: User-Generated Content; Randomized field experiment; GENDER; performance feedback; social value orientation theory

摘要

We design a series of online performance feedback interventions that aim to motivate the production of user-generated content (UGC). Drawing on social value orientation (SVO) theory, we develop a novel set of alternative feedback message framings, aligned with cooperation (e.g., your content benefited others), individualism (e.g., your content was of high quality), and competition (e.g., your content was better than others). We hypothesize how gender (a proxy for SVO) moderates response to each framing, and we report on two randomized experiments, one in partnership with a mobile-app-based recipe crowdsourcing platform, and a follow-up experiment on Amazon Mechanical Turk involving an ideation task. We find evidence that cooperatively framed feedback is most effective for motivating female subjects, whereas competitively framed feedback is most effective at motivating male subjects. Our work contributes to the literatures on performance feedback and UGC production by introducing cooperative performance feedback as a theoretically motivated, novel intervention that speaks directly to user's altruistic intent in a variety of task settings. Our work also contributes to the message-framing literature in considering competition as a novel addition to the altruism-egoism dichotomy oft explored in public good settings.