報告人：復(fù)旦大學(xué)偉德國際1946bv官網(wǎng) 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(nèi)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(yè)于清華大學(xué)經(jīng)管學(xué)院，現(xiàn)任復(fù)旦大學(xué)偉德國際1946bv官網(wǎng)信息管理與信息系統(tǒng)系副教授、博士生導(dǎo)師，國家自然科學(xué)基金優(yōu)秀青年科學(xué)基金獲得者。他的主要研究興趣是電子商務(wù)、平臺模式和數(shù)字虛擬產(chǎn)品的經(jīng)濟學(xué)問題。他的研究工作先后發(fā)表在《Information Systems Research》、《International Journal of Information Management》、《管理科學(xué)學(xué)報》等多本國內(nèi)外一流學(xué)術(shù)期刊，并被國內(nèi)外媒體廣泛報道。
?。ü芾砉こ滔怠⒖蒲信c學(xué)術(shù)交流中心）
