[07-22] Designing Information Strategies for Digital Platforms: Findings from Randomized Field Experiments (A/B tests)

文章來源:  |  發布時間:2019-07-19  |  【打印】 【關閉

  

  時間:2019722日(周一)下午200 

    

  地點:軟件所5號樓334報告廳 

    

  講者:史嵐菲(美國弗吉尼亞大學助理教授) 

    

  題目: Designing Information Strategies for Digital Platforms: Findings from Randomized Field Experiments (A/B tests) 

    

  摘要: The rise of digital platforms has transformed our economy and reshaped consumer behaviors and experiences. While practitioners and researchers have a growing interest in understanding digital platforms, there is still a dearth of research on how platforms can design effective information strategies to mitigate fundamental issues such as information asymmetry and search frictions by leveraging granular data. By focusing on significant real-world problems on digital platforms, I aim to examine IT-enabled and analytics-driven information strategies and study the impact of these strategies on the users as well as on the platforms themselves. In this talk, I will be sharing several A/B tests (e.g., motivating mobile adoption, voluntary verification mechanisms, user recommendation, etc.) that I design and conduct in collaboration with two different online platforms. Business implications and actional suggestions will be discussed. 

    

  講者簡介: Lanfei Shi will be joining the University of Virginia, McIntire School of Commerce as a tenure-track professor this coming fall. Her research interests revolve around designing effective information strategies for online multisided platforms, and she adopts a multi-disciplinary approach to combine randomized field experiments with econometrics models and big data analytics. She actively collaborates with online platforms of different types (e.g., E-commerce, social media, online dating) to help with consumer engagement, and many of the good practices suggested by her studies have been adopted by collaborating platforms. She gets her doctoral degree in Information Systems in Robert Smith School of Business at the University of Maryland. Before joining the business school, she was a CS researcher with a focus on data analytics and HCI at the University of Pittsburgh. 

热门棋牌游戏代理加盟推荐 电子游戏注册大全 选号pk10走势图查询 足彩网 牛牛看牌抢庄有漏洞吗 全天pk10最精准计划 极速时时开奖网 北京pk赛车规律公式 星空娱乐注册登录 重庆时时彩是正规的吗? 赢彩软件官网 重庆时时单双大小 秒速时时个位杀号 北京pk10赛车计划群 pk10赛车冷热号码怎么找 平肖中特 欢乐四川麻将