2026年第40期(总第1184期)
演讲主题：Optimal Design of Subscription-Based Digital Content Platform: A Fixed Point Approach
主讲人：何英 南方科技大学副教授
主持人：关旭 供应链管理与系统工程系主任、教授
活动时间：2026年6月5日（周五）10:00-11:30
活动地址：管院大楼107教室
主讲人简介：
何英，南方科技大学商学院长聘副教授。他于2004年获得西安交通大学经济学学士学位，并于2013年获得美国德克萨斯大学奥斯汀分校管理科学博士学位。曾任职于香港城市大学管理科学系和南丹麦大学商业与管理学系。研究方向涵盖了多目标决策、多阶段决策、风险及不确定环境下的决策，以及各类决策模型在相关领域的应用，如资产组合、产品定价、收益管理、数字供应链等。他的主要研究成果发表于《Management Science》，《Operations Research》，《Production and Operations Management》，《Journal of Mathematical Economics》，等相关经济与管理类知名学术期刊，并多次在经济学与管理科学相关高水平国际会议上获奖。他曾当选为INFORMS 2021年至2023年决策分析学会（DAS）理事会成员，现任INFORMS Decision Analysis journal Associate Editor。
活动简介：
This paper studies the optimal design of two-sided streaming platforms (a digital goods supply chain) through the lens of functional optimization and fixed-point theory. We address the platform's fundamental challenge: designing a procurement mechanism that cost-effectively acquires digital content from heterogeneous suppliers under information asymmetry, while simultaneously optimizing subscription pricing for subscribers. The core of this problem reduces to a functional optimization where the platform must determine an optimal quality schedule that maps each supplier's private type to a target content quality level. We formulate this as a fixed-point problem, where an operator captures the interplay between subscriber valuation, supplier incentives, and platform profit maximization. Using Banach’s fixed-point theorem, we prove the existence and uniqueness of the optimal quality schedule under economically interpretable conditions, and develop a computationally efficient fixed-point iteration algorithm that converges to the solution. To overcome practical implementation challenges in quality verification, we design an alternative mechanism that links payments to observable consumption popularity rather than direct quality assessment. This mechanism maintains near-optimal performance while being readily implementable in large-scale streaming platforms. Our framework provides both theoretical insights into platform design and practical computational methods, demonstrating how functional optimization and fixed-point approaches can solve complex two-sided market design problems that are intractable through conventional methods.
