捆绑调教

主题：Product Sharing: A Threat or an Opportunity for Competing Manufacturers?

时间：2025年9月3日10:00

地点：旭日楼310室

摘要：This paper studies the impact of product sharing on competing manufacturers under a platform’s different quality entry barrier strategies. We build a game-theoretic analytical model to examine the strategies of two manufacturers: a high-quality manufacturer producing a high-quality product and a low-quality manufacturer producing a low-quality product. We explore three markets: the N-S market where the sharing market does not exist, the L-S market, and the H-S market, where the platform sets low and high entry barriers, respectively. We study these three markets because they bracket the most common platform entry policies in practice—no sharing, low-barrier (open access), and high-barrier (quality-gated) participation. Our findings indicate that while product sharing makes it easier for the high-quality manufacturer to survive, it may not necessarily improve the survival likelihood of the low-quality manufacturer. Furthermore, we demonstrate that the existence of the sharing market may negatively impact both manufacturers. To the best of our knowledge, this study is the first to investigate how competing manufacturers, platforms, and consumers can cope with the sharing phenomenon. We show that, while the high-quality manufacturer prefers a low cost of quality in all three markets, the low-quality manufacturer, interestingly, prefers a high cost of quality in both product-sharing markets. Additionally, we illustrate that the platform should not always set a low entry barrier to allow more product types to join. Surprisingly, our results show that although product sharing always benefits social welfare, it could potentially harm consumers.

演讲嘉宾：李涛 圣克拉拉大学利维商捆绑调教 信息系统与分析副教授、商业分析硕士项目主任

Tao Li is Associate Professor of Information Systems & Analytics and Director of the MS Program in Business Analytics at Santa Clara University. His research focuses on AI’s impact on business, revenue management, sharing economy, supply chain, and sustainable operations, with work published in top journals. He teaches machine learning, data analytics, and prescriptive analytics, earning multiple teaching and research awards. Professor Li has led industry projects with firms like AWS, Adobe, and Roblox, and serves as Senior Editor of Production and Operations Management and Associate Editor for several leading journals.