講座題目：How Mega is the Mega? Measuringthe Spillover Effects of WeChat Using Graphic Model

主講人：竇一凡博士

報告人簡介：

竇一凡，復旦大學管理學院信息管理與信息系統(tǒng)系副教授、博士生導師。他本科和博士均畢業(yè)于清華大學經(jīng)管學院，主要研究興趣是電子商務、平臺模式和數(shù)字虛擬產品的經(jīng)濟學問題。他的研究工作先后發(fā)表在多本國內外一流學術期刊，并被國內外媒體廣泛報道。

內容簡介：

WeChat, an instant messaging app, is considered a mega appdue to its dominance in terms of use among Chinese smartphone users. Little isknown, however, about its externality in the broader app market. This workestimates the spillover effects of WeChat on the other Top-50 most frequentlyused apps in China, using users’ weekly app usage data. Given the challenge ofdetermining causal inference from observational data, we apply a graphicalmodel and an econometric method to estimate the spillover effects in two steps:(1) we determine the causal structure by estimating a partially ancestraldiagram, using a Fast Causal Inference (FCI) algorithm; and (2) given thecausal structure, we find a valid adjustment set and estimate the causaleffects by an econometric model with the adjustment set for controllingnon-causal effects. Our findings show that the spillover effects of WeChat arelimited; in fact, only two other apps, Tencent News and Taobao, receivepositive spillover effects from WeChat. The findings generate managerialimplications in terms of app usage patterns, strategic management of mega appson an app platform, and app promotional strategies for app platform managersand app developers.

主持人：劉赫，中央財經(jīng)大學管理科學與工程學院

講座時間：2020年12月7日（周一）下午16:00-17:30

講座地點：騰訊會議會議ID：313 229335密碼：123456