讲座:Too Good to Go: Combating Food Waste with Surprise Clearance 发布时间:2024-11-18
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题 目:Too Good to Go: Combating Food Waste with Surprise Clearance
嘉 宾:于漫,教授,香港科技大学
主持人:江浦平 助理教授 开云网页登录 安泰经济与管理学院
时 间:2024年11月25日(周一)10:00-11:30am
地 点:安泰楼A511室
内容简介:
This paper studies surprise clearance as an innovative business model to increase store profit and reduce food waste. A store holding surprise clearance sells “surprise bags” composed of surplus food that would otherwise become waste. At the time of ordering, consumers are uncertain about the quantity of food items included in a surprise bag. We model surprise clearance and compare it with both no clearance and transparent clearance, which sets a transparent unit clearance price based on the amount of surplus food after regular sales. We find that surprise clearance achieves the highest store profit and induces the most store production among the three selling schemes. While both clearance schemes have the ability to eliminate store waste, the store effectively does so under surprise clearance but deliberately does not under transparent clearance. In fact, transparent clearance may generate even more store waste than no clearance. Further, both clearance schemes exacerbate the problem of consumer waste compared to no clearance, and despite zero store waste, surprise clearance generates the most consumer waste among the three schemes. If clearance sales target a consumer segment with a sufficiently low valuation of consumption, both clearance schemes reduce total food waste and surprise clearance represents a win-win solution that maximizes store profit and minimizes total waste among the three schemes. However, there are circumstances under which both clearance schemes fail to reduce total waste, and surprise clearance may end up with the most total waste among the three schemes.
演讲人简介:
Prof. Man Yu is a Professor in Department of Information Systems, Business Statistics and Operations Management (ISOM) at the HKUST business school. She received her PhD in Business Administration from Ross School of Business, University of Michigan and her B.S. and M.S. in Management Science from School of Economics and Management, Tsinghua University. Her research interests include pricing and revenue management with explicit modeling of consumer behavior, interfaces of operations and marketing, and supply chain management. She is currently serving as a Senior Editor for Production and Operations Management and an Associate Editor for Decision Sciences.
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