报告人：卢向华 教授 复旦大学12BET

　　国家自然基金优秀青年基金项目获得者

　　时  间：6月24日（星期三）15：00-16：30

　　会议号：腾讯会议 823 921 615

　　内容简介：

　　With the advancement of artificial intelligence, technology-based self-service retail is gaining increasingly popular in practice. Yet, consumers report being frustrated with types of self-service technology (SST) failures. Without service personnel on site to interact and help, one way to alleviate the adverse effects of technology failure is to urge consumer voice proactively. Based on nudge theory, this study seeks to leverage descriptive social norm information to motivate consumer voice. In addition, with the consideration that voice in staffless retailing context requires consumer competence on control over the SSTs, we further investigate the role of two related personality traits, self-efficacy and social dependency, on consumers’ voice behavior. A preliminary field experiment has been conducted, and the findings support the motivating effect of priming descriptive social norm on consumer voice.　

　　主讲人简介：

　　卢向华，复旦大学12BET信息管理与信息系统系教授，博士生导师，国家自然基金优秀青年基金项目获得者。卢向华教授的研究方向是互联网用户的在线行为量化实证分析及运营机制设计，通过大数据分析与实地实验等方法研究用户个人层面的行为偏好与规律，测度用户对不同市场干预机制或政策的响应效果。她在国内外高水平期刊上发表学术论文30余篇，包括Management Science, Information Systems Research, Journal of Marketing, Marketing science, POMs，Journal of MIS等。她目前已经作为负责人主持了5项国家自然基金项目，并独立了完成了上海市哲学社科、上海市教育发展基金会晨光计划等多项研究课题，负责完成了多项政府与企业横向咨询课题。

　　主办：研究生院      承办：科研与学术交流中心