性爱影片

（单位）

刘方

(杜伦大学)

主持人

（单位）

李四杰、陈静

（性爱影片 ）

讲座时间

2026年7月27日上午10点

讲座地点

人文社科综合楼314

性爱影片 简介

Fang Liu is currently a professor in Operations Management at the Durham University Business School, Durham University. She received her PhD in Operations Management from the Fuqua School of Business, Duke University. Her primary research interests are in humanitarian operations, mechanism design, and sustainable operations. She is currently working on multiple projects, including various allocation problems with applications in humanitarian operations and e-commerce. Her paper has appeared in Operations Research, Manufacturing and Service Operations Management, and Production and Operations Management. She is the winner of 2022 M&SOM data-driven competition and the finalist of IFORS Prize for Development 2023. She is the AE of Decision Science Journal and Omega, and a reviewer for many top journals such as MS, OR, MOR, MSOM, and POM.

讲座内容摘要

Retailers increasingly use randomized discount timing, such as unannounced flash sales, to influence strategic customer behavior, yet its advantages over traditional pricing strategies remain unclear. We develop a model with high and low valuation customers who strategically choose when to purchase, and compare three policies: single pricing, fixed discount timing, and randomized discount timing. We show that the retailer’s expected profit is independent of the discount time distribution and fully characterize the optimal high and low prices under randomized discount timing. The optimal low price always equals the valuation of low valuation customers. Interestingly, the optimal high price may increase in the total amount of inventory, which is not observed under fixed discount timing. We also show that randomized discount timing can outperform fixed discount timing when the customer segments are similar in size, their valuations are significantly different, and the inventory is about the size of the low valuation segment. Under these conditions, discount uncertainty induces high valuation customers to buy at a higher price, which improves revenue. However, when the retailer is not required to offer a discount, single pricing combined with fixed discount timing dominates randomized discount timing: randomness in discount timing encourages excessive waiting, reduces high price sales, and leads to more sales at the low price. Similar results hold when we consider salvage costs/values. These findings clarify when retailers should use or avoid randomized discount timing.