Sound of Silence: When to Conceal Attribute Information? The Roles of Consumer Search, Inventory, and Channel Structure

• 成果类型: Article
• 署名作者: Chen, Zihao; Fu, Xingyu; Gao, Pin; Chen, Ying-Ju
• 署名单位: Xi'an Jiaotong University; University of New South Wales Sydney; The Chinese University of Hong Kong, Shenzhen; The Chinese University of Hong Kong, Shenzhen; Hong Kong University of Science & Technology
• 刊物名称: M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1523-4614
• DOI: 10.1287/msom.2023.0288
• 发表日期: 2026
• 关键词: disclosure; auctions

摘要

Problem Definition: This study examines a seller's joint information disclosure and pricing decisions when launching a new product with an easy-to-communicate objective attribute and a hard-to-describe subjective attribute. We analyze how consumer search cost, inventory level, and channel structure shape the seller's optimal information strategy. Results: For brick-and-mortar retailing, the seller should conceal (disclose) attribute information when the search cost is low (high). Interestingly, when the inventory level is high, the seller conceals information to retain the diamond-in-the-rough consumers, aiming to match the abundant inventory with high demand. Conversely, when inventory is low, the seller discloses information to dissuade some consumers with low objective valuations from searching, thereby reducing demand and alleviating consumers' concerns about product availability. Thus, the seller strategically uses attribute information to balance search and stock. This result remains robust under extensions such as partial disclosure, atomic consumers, and efficient allocation. Moreover, intensified demand-side competition (e.g., a larger consumer base) can unexpectedly reduce the seller's revenue because of price markdown pressures to ease consumers' concerns about competition. In an omnichannel setting, where an online channel supplements physical retail, a high inventory level may reverse the optimal information policy. Managerial Implications: Our findings offer insights into how demand-side factors (e.g., search cost) and supply-side factors (e.g., inventory level and channel structure) shape optimal disclosure. We also reveal risks associated with demand-side competition.