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学术前沿讲座--Signaling Quality with Return Insurance: Theory and Empirical Evidence

发布时间:2019-08-22访问量:1165

报告题目

Signaling Quality with Return Insurance: Theory and Empirical Evidence

报告人(单位)

陈剑教授
清华大学经济管理学院

点评人(单位)

薛巍立(东南大学)

点评人(单位)


时间地点

时间:2019年  823 日(周五)  下午15 点

地点:九龙湖经管楼B201

报告内容摘要

  

  

报告内容:

Thispaper examines an innovative return policy, return insurance, emerging onvarious shopping platforms such as Taobao.com and JD.com. Return insurance isunderwritten by an insurer and can be purchased by either a retailer or a consumer.Under such insurance, the insurer partially compensates consumers for their

hassle cost associated with product return. We analyze the informational roleof return insurance when product quality is the retailer’s private information,consumers infer quality from the retailer’s price and insurance adoption, andthe insurer strategically chooses insurance premiums. We show that returninsurance can be an effective signal of high quality. When consumers havelittle confidence about high quality and expect a significant gap between highand low qualities, a high-quality retailer differentiates itself from alow-quality retailer solely through its adoption of return insurance. We confirm,both analytically and empirically with a data set consisting of over 1,000sellers on JD.com, that return insurance is more likely adopted byhigher-quality sellers under information asymmetry. Furthermore, compared tofree return (i.e., retailers directly compensate for consumers’ product-returnhassles), return insurance is a stronger signal of quality, due to the role ofthe third party, the insurer. Despite its capability to signal quality, returninsurance is costly for the retailer. Particularly, both high-quality andlow-quality retailers are sometimes strictly worse off due to the option ofpurchasing insurance. Nevertheless, return insurance can improve consumersurplus and reduce product returns. Its profit advantage to the insurer is mostpronounced under significant information asymmetry.

Jointwork with Zhang Chong and Yu Man.


报告人简介:

陈剑现任清华大学经济管理学院管理科学与工程系联想讲席教授,清华大学经济管理学院管理科学与工程系系主任, 教育部人文社会科学重点研究基地——清华大学现代管理研究中心主任,国务院学位委员会第七届学科评议组成员,教育部高等学校管理科学与工程类专业教学指导委员会秘书长。主要研究方向:供应链管理、电子商务、商务智能等。主持五十余个国家自然科学基金委、教育部、863等国家部委项目,以及地方政府/企业委托项目;在国内外学术期刊上发表论文二百多篇。应邀在多个国际会议上做大会报告(Keynote/Plenary Lecture)。获得过多项奖励及荣誉称号,如国际电气和电子工程师协会会士;教育部长江学者;首届复旦管理学奖;全国优秀博士学位论文指导教师;国家杰出青年科学基金;IBM学院奖等。在多个学术组织中任职,如中国管理现代化研究会副理事长(2016-),中国管理学科与工程学会副理事长(2017-)等。也是许多国际会议的主席/共同主席(例如:2004年第一届国际服务系统和服务管理会议主席、2007INFORMS制造和服务运作管理学会年会共同主席(MSOM07)2012INFORMS国际大会主席等),同时担任多个国际学术刊物的编委。



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