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活动报名 | 管理科学暑期线上系列学术论坛(共8期)

时间:2020-07-06


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管理科学暑期线上系列学术论坛共8期,自7月10日起,每周五线上召开。(每期论坛需单独报名)

第六期论坛将由来自伦敦帝国理工学院的吴佳华教授分享他的研究——“Consumer Profiling with Data Requirements: Structure and Policy Implications”。

随着信息技术,特别是移动互联网,物联网等的快速崛起,商家通过各种渠道掌握着越来越多的用户信息。一方面这些信息可以帮助商家更好地为用户服务,例如提供更具针对性的商品推荐,个性化的广告投放等。但是与此同时这也带来了用户隐私上的担忧,特别是面对商家可能利用这些信息差别定价的可能性。本期讨论的重点是在用户担心隐私的前提下,商家如何针对新老用户制定最优的定价策略,以及这些策略又将可能如何影响决策者制定数据保护政策。

活动时间:2020年8月14日15:45-17:30(北京时间)

线上平台:腾讯会议 ( 或 VooV meeting 腾讯会议国际版)

论坛语言:中文/英文

活动日程

15:45-15:55 线上签到

15:55-16:00 论坛介绍 

16:00-17:00 主题演讲

17:00-17:30 提问环节 

嘉宾介绍

FA6F主讲人 吴佳华

Jiahua Wu will become a tenured Associate Professor of Operations at Imperial College Business School, Imperial College London, UK. He received his Ph.D. in Operations Management from Rotman School of Management, University of Toronto. He also holds a Master in Electrical and Computer Engineering from University of Toronto, and a Bachelor in Electronic Engineering from Tsinghua University. Jiahua’s research interests include behavioural decision-making, revenue management and supply chain management.

论文简介

Consumer Profiling with Data Requirements: Structure and Policy Implications

Abstract:

We consider a model where a monopolist can profile consumers in order to price discriminate among them, and consumers can take costly actions to protect their identities and make the profiling technology less effective. A novel aspect of the model consists in the profiling technology: the signal that the monopolist gets about a consumer's willingness-to-pay can be made more accurate either by having more consumers revealing their identities, or by spending larger amounts of money (e.g., on third-party complementary data or data analytics capabilities). We show that both consumer surplus and social welfare are convex in the ability of consumers to conceal their identities. The interest of this result stems from the fact that consumers' concealing cost can be interpreted as a policy tool: a stricter privacy law would make the concealing cost lower, and vice-versa. Consequently, a policymaker who promotes total welfare should either make data protection very easy or very costly. The right direction of data regulations depends on data requirements. In particular, a higher (lower) data requirement is an instance when more (less) consumers are needed to achieve the same signal precision. We show that a strict data privacy law is preferable under a high data requirement so that firms are less likely to invest in profiling inefficiently, whereas there is less concern with little or no data regulations under a low data requirement. We also discuss when greater data protection may be beneficial to the firm.

主持人介绍

106011主持人  翟  昕

光华管理学院管理科学与信息系统系副教授,高层管理教育中心执行主任。清华大学硕士、双学士,美国普渡大学博士。她的研究兴趣是运营管理、供应链金融。

报名方式(每期论坛需单独报名)

点击链接 http://gsm-academic.mikecrm.com/keRncBT参与报名。具体参会方式将在报名成功后邮件通知。


管理科学暑期线上系列学术论坛 Management Science Summer Webinar Series

由北京大学光华管理学院管理科学与信息系统系主办,将邀请海内外学界专注OM,IS,AI等多领域的知名专家学者,面向各高校教师、学生、及感兴趣的业内和社会人士,就各自的研究领域最新成果进行分享交流。本系列论坛致力于为国内管理科学与信息系统领域的青年学者打造一个探索研究方向、关注现实问题、分享研究心得的知识交流平台,提供更多学习相关领域研究方法的机会,为推动管理科学学术研究的发展做出努力。


管理就是制定决策

 ——赫伯特•西蒙

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