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“信管前沿”学习研究系列讲座 第七、八期

发布时间: 2019/11/21 09:49:10     点击次数:次   打印本页

时间:   2019112614:30-16:30  

地点:   北航新主楼A622

 

主持人: 郝金星副教授

 

 

第七期

 

题目:          Optimal Pricing Model of Digital Music: Subscription, Ownership or Mixed?(数字音乐最优定价模式研究:订购、下载购买以及混合模式)

 

主讲人:   李胜利 副教授,北京大学信息管理系

 

摘要(Abstract:

 

Traditionally, consumers purchase physical music (often in the form of CDs or cassettes) from local retailers. With the development of Internet technology, the market share of digital music has grown rapidly in recent years. Unlike physical music, digital music is provided by several emerging digital music providers through the Internet to consumers. Pricing models of digital music are also drastically different from those of physical music. In this paper, we identify three common schemes for selling digital music: ownership, subscription and mixed pricing models. Under the ownership model, consumers purchase and download their preferred songs and enjoy music using their local devices. Under the subscription model, music is provided through an online streaming service. The mixed pricing model is a combination of the previous two. Our paper explores and compares the three pricing models. Through a stylized model, we find that several factors, including the advertisement revenue rate and consumers’ reservation value for the music service, have crucial effects on the comparison of the three pricing models.  

 

主讲人简介(Introduction)

 

李胜利,现任北京大学信息管理系副教授。他于佛罗里达大学沃灵顿商学院信息系统专业获得博士学位。他的研究方向包括信息系统经济学、电子商务、社交媒体等。他主持或参与过多项国家自然科学基金项目,研究成果被发表在Production and Operations Management (POM), Journal of Management Information Systems (JMIS), Decision Support Systems (DSS), European Journal of Operational Research (EJOR)等国际著名期刊上。  

 

 

 

第八期

 

题目:          Can Social Notifications Help to Mitigate Payment Delinquency in Online Micro-lending? A Field Experiment

 

主讲人:   卢向华 教授,复旦大学管理学院信息管理与信息系统系

 

摘要(Abstract:

 

Online micro-lending has experienced rapid growth worldwide. A key challenge in scaling up the business is managing the cost of debt collection incurred by late repayment and default. We study whether and how a platform can leverage on borrowers’ social connections through automatic social notifications in regulating repayment behavior. In collaboration with a large online micro-lending platform, we conduct a randomized field experiment to investigate the effect of social notifications targeted at different contact groups (core-circle vs. peripheral-circle). Our results show that notifying social contacts of a delinquent regarding the overdue payment significantly improves the repayment rate. Compared to the control group in which no notification messages are sent to the social contacts, notification-triggered social sanctions and social supports reduce the default rate by more than 50% in both core-circle and peripheral-circle groups. Further, we find that social notifications targeted at the peripheral-circle social contacts are only effective in the short term, its effectiveness decreases with repeated use. By contrast, social notifications targeted at the core-circle social contacts have a lasting effect.  

 

主讲人简介(Introduction)

 

卢向华,复旦大学,管理学院信息管理与信息系统系,教授,国家自然基金优秀青年基金项目获得者。卢向华博士的研究方向是互联网用户的在线行为量化实证分析及运营机制设计,通过大数据分析与实地实验等方法研究用户个人层面的行为偏好与规律,测度用户对不同市场干预机制或政策的响应效果。她在国内外高水平期刊上发表学术论文30余篇,包括Management Science, Information Systems Research, Journal of Marketing, Marketing science, Journal of MIS等。她目前已经作为负责人主持了5项国家自然基金项目,并独立了完成了上海市哲学社科、上海市教育发展基金会晨光计划等多项研究课题,负责完成了多项政府与企业横向咨询课题。  

 

 

 

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经济与商学研究院

 

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