信息管理与商业智能系学术讲座（11月26日）

题目：Do Judge a Product by Its Sustainability Label:

Evidence from the Amazon Marketplace

主讲人：Sherry He（何秀意  ） Eli Broad College，Michigan State University

主持人：周舟副教授  信息管理与商业智能系

时间：2025-11-26 10:00-11:00

地点：线下：李达三楼105室        线上：腾讯会议号981328601/722722

内容摘要:

Companies are increasingly prioritizing environmental, social, and governance strategies,with sustainability labeling emerging as a prominent approach to inform consumers about a product’s sustainability status. Despite the widespread adoption of sustainability labels, whether and why they affect product sales remains unclear. This paper quantifies the causal impact of sustainability labeling by leveraging a large-scale dataset from Amazon.Employing a difference-in-differences framework, we find that sustainability labeling leads to a 12.5% decrease in sales rank (indicating an increase in sales units) of labeled products within eight weeks. Furthermore, we show that the primary mechanism is the information effect—sustainability labeling influences consumers’ decisions by conveying information that aligns with their preferences—rather than the salience effect (i.e., improved product listing salience owing to label salience or search filter availability) or platform endorsement (i.e., improved organic search ranking). Moreover, consumers are more responsive to easily accessible information on sustainability features than to hard-to-access details about certification processes, such as stringency and transparency. These findings suggest that

consumers passively search for and purchase sustainable products. These insights carry implications for both firm-level sustainability strategies and platform-level information architecture.

个人介绍：

Dr. He is an assistant professor of Marketing at Michigan State University. She received her Ph.D. in Marketing from University of California, Los Angeles, and BA in Economics and Statistics with honors from University of Michigan - Ann Arbor. Her research interests are in Quantitative Marketing and Empirical Industrial Organization, with a substantive focus on economics of digitization, user-generated content, platform policy and sustainability. She uses a combination of causal inference, structural models and state-of-art machine learning methods to inform marketing and policy decision making. Her research has been published in the Marketing Science, Proceedings of the National Academy of Sciences and Harvard Business Review. In addition, her research has been mentioned by multiple media outlets including Wall Street Journal, The Economist, New York Times, CNBC, and others.