中南大学商学院经管学术论坛第220期——长江商学院朱阳教授

时间:2023年03月11日 13:47来源: 点击:

讲座题目:Harnessing the Double-edged Sword via Routing: Information Provision on Ride-hailing Platforms / Some Reflections as an Area Editor for Omega

人:长江商学院 朱阳 教授

讲座时间:2023年3月16日(周四)上午9:00

讲座地点江湾楼大汉厅(103会议室)

主办单位:运营与供应链研究中心、国家自然科学基金委重大项目“企业运营管理与服务创新”项目组

人:中南大学商学院 艳菊 教授

主讲人简介:

朱阳博士是长江商学院运营管理教授。他在上海交通大学获得电子工程学士学位后赴美留学,于佛罗里达大学获得经济学硕士和工业与系统工程博士学位,随后在加州大学伯克利分校工业工程与运筹系从事博士后研究。在加入长江商学院之前,他是南加州大学马歇尔商学院数据科学和运营系的终身正教授。朱教授的论文已发表在Academy of Management Review, American Economic Review, Journal of Economic Theory, Journal of Economics & Management Strategy, Journal of Regulatory Economics, Operations Research, Management Science, Manufacturing and Service Operations Management, Production and Operations Management, MIS Quarterly, Operations Research Letters, Rand Journal of Economics,European Journal of Operational Research等专业期刊上。他是Omega供应链管理方向的区域编辑以及Journal of Management Science and Engineering (China), Operations Research, Manufacturing and Service Operations Management, Production and Operations Management, Naval Research Logistics, Operations Research Letters等杂志的副主编。

讲座摘要:

This presentation has two parts. In the first part, we discuss academic research on a ride-hailing platform that provides free information to taxi drivers. Upon receiving a rider’s request, the platform broadcasts the rider We consider a ride-hailing platform that provides free information to taxi drivers. Upon receiving a rider’s request, the platform broadcasts the rider’s origin and destination to idle drivers, who accept or ignore the request depending on profitability considerations. We show that providing such information may reduce drivers’ equilibrium profit. Hence information provision is a double-edged sword: the drivers may choose to take more profitable riders via “strategic idling”. When multiple drivers compete for the same request, how the platform breaks the tie affects the incentives of the drivers. We propose a routing policy that can align the incentives and achieve the first-best outcome for large systems. In the second part, we discuss the submission process at Omega and some personal thoughts about the research and life.


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