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香港城市大学商学院资讯系统学系冯娟教授学术讲座

来源:   作者:王熙  日期:2019年05月10日  点击数:

讲座时间:520日上午1000

讲座地点:九里校区零号楼0411

讲座题目:Can Buyer Protection Mechanisms Help Buyers?——The Impact on Seller Competition in the Presence of a Reputation System

讲座内容:Online reputation systems are critical in addressing information asymmetry in online platforms. In this study, we study how the introduction of buyer protection program, such as guaranteed return, third-party escrow services and credit card guarantees, influence the effect of online reputation system on seller competitions as well as buyer welfare in an online platform. Will online reputation systems become less important to sellers? Can buyers really benefit from the introduction of such buyer-protection mechanisms? Are sellers better off? We develop a theoretical model to study the joint effect of online reputation systems and buyer-protection mechanisms. Contrary to the conventional wisdom that the buyer protection program improves buyer experiences and is more beneficial to a low-reputation seller, we find that even though such institutional mechanisms help in the short run, it can be detrimental to low-reputation sellers in the long term, and consumers can be worse off, and rely more on online reputation system when buyer protection program becomes more effective. Using a dataset from one of the largest online B2C markets in China, we also empirically assess these theoretical predictions.

主讲人简介:Juan Feng is a professor in the Department of Information Systems in the College of Business at the City University of Hong Kong. She holds a BA in economics from Renmin University of China and a PhD in Business Administration (dual title in operations research) from Pennsylvania State University. She was previously an assistant professor at the University of Florida. She has published in Information Systems Research, Management Science, Marketing Science, Informs Journal on Computing, Production and Operations Management, etc. She serves as AE for Information Systems Research and SE for E-Commerce Research & Applications.

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