報告人：復旦大學偉德國際1946bv官網 竇一凡 副教授
時間：11月18日（星期三）15:30-17:30
會議號：騰訊會議707 761 558
報告內容簡介：
WeChat, an instant messaging app, is considered a mega app due to its dominance in terms of use among Chinese smartphone users. Little is known, however, about its externality in the broader app market. This work estimates the spillover effects of WeChat on the other Top-50 most frequently used apps in China, using users’ weekly app usage data. Given the challenge of determining causal inference from observational data, we apply a graphical model and an econometric method to estimate the spillover effects in two steps: (1) we determine the causal structure by estimating a partially ancestral diagram, using a Fast Causal Inference (FCI) algorithm; and (2) given the causal structure, we find a valid adjustment set and estimate the causal effects by an econometric model with the adjustment set for controlling non-causal effects. Our findings show that the spillover effects of WeChat are limited; in fact, only two other apps, Tencent News and Taobao, receive positive spillover effects from WeChat. The findings generate managerial implications in terms of app usage patterns, strategic management of mega apps on an app platform, and app promotional strategies for app platform managers and app developers.
報告人簡介：
竇一凡本科和博士生均畢業于清華大學經管學院，現任復旦大學偉德國際1946bv官網信息管理與信息系統系副教授、博士生導師，國家自然科學基金優秀青年科學基金獲得者。他的主要研究興趣是電子商務、平臺模式和數字虛擬產品的經濟學問題。他的研究工作先后發表在《Information Systems Research》、《International Journal of Information Management》、《管理科學學報》等多本國內外一流學術期刊，并被國內外媒體廣泛報道。
（管理工程系、科研與學術交流中心）
