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大數據管理與優化系列論壇:Yunke Mai 助理教授

報告題目:Courteous or Crude? Managing User Conduct to Improve On-demand Service Platform Performance

報 告 人:Yunke Mai

報告時間: 2020年10月31日(周六)09:30-11:30

報告地點:騰訊會議 (會議ID: 588 407 489)

主辦單位:管理科學與工程學院大數據管理與優化研究中心

【報告人簡介】

Yunke Mai is an Assistant Professor of Supply Chain at the Gatton College of Business and Economics, University of Kentucky. Prior to joining Gatton, Yunke received his Ph.D. in Business Administration from the Fuqua School of Business, Duke University. He also holds a B.S. degree in Mathematics from the Pennsylvania State University.

Yunke's research mainly focuses on supply chain management, innovative marketplace, and operations-marketing interface. His research has been published in Production and Operations Management and recognized with the 2018 INFORMS's IBM Best Student Paper Award.

【報告摘要】

In this paper, we build an evolutionary game theory model to investigate how riders' and drivers' behavior evolves in response to a ride-hailing platform's operational decisions, and study how it impacts the platform's performance and the social welfare. We identify two sustainable asymptotically stable equilibria of the dynamic system of the platform, one resembling a traditional taxi service while the other resembling a successful ride-hailing platform. Using this characterization, we then show how the platform could leverage operational tools at its disposal to optimize its performance. Finally, we establish that a platform can generally improve social welfare and may achieve the socially optimal state by prioritizing high-rating riders in matching under supply shortage. Our analysis highlights the importance for ride-hailing platforms to implement and strategically leverage rider ratings, and can potentially provide guidelines for improving platform performance not just with standard instruments such as price and wage adjustments, but also by making rider rating-driven adjustments into the matching procedure.


撰稿:田甜 審核:唐加福 單位:管理科學與工程學院

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