报告题目：Two Empirical Studies on Disruptive Innovation

报告人：李猛副教授  University of Houston

报告时间：2021年12月17日（周五）14：00-15：30

报告地点：中国科学院大学中关村校区教学楼S406；腾讯会议ID:422 543 143

内容摘要:  In this talk, I will discuss two papers. In the first paper “AI and procurement,” we explore how AI creates and delivers value in procurement. AI has two unique abilities: automation and smartness, which are associated with physical machines or software that enable us to operate more efficiently and effectively. In this research, we study how buyers' usage of AI affects suppliers' price quoting strategies. Specifically, we study the impact of automation.

In the second paper “Telemedicine Follow-up Availability and Hospital Operational Efficiency,” we study follow-up care for patients after an initial hospital visit is an essential part of the care process that is beneficial to both hospitals and patients. However, due to transportation barriers, many patients have limited access to follow-up appointments. In this paper, we examine the value of telemedicine in improving access to follow-up care by collaborating with a large Asian hospital that sequentially adopted telemedicine in different departments. We exploit a staggered difference-in-differences design and find that the adoption of telemedicine significantly increases the total number of follow-up visits by 52%. Interestingly, telemedicine adoption creates a positive spillover effect on onsite operations, where onsite follow-up visits increase by close to 10% and onsite initial visits increase by about 6%. We further investigate the mechanism underlying these results from the perspectives of supply and demand. 

报告人简介: Meng Li is an Associate Professor, and Bauer Fellow at C.T. Bauer College of Business of University of Houston. His recent research interests focus on platform and AI. His research has appeared in Management Science, Manufacturing and Service Operations Management, Production and Operations Management, and Strategic Management Journal, among others. He is a Senior Editor for Production and Operations Management, and an Associate Editor for Decision Sciences Journal.