Are You Willing to Pay for Generative Artificial Intelligence (GenAI) Products? Disentangling the Disclosure Effects and the Mediating Role of Psychological Value

• 成果类型: Article
• 署名作者: Sikhondze, Bachazile; Ye, Hua Jonathan; Wang, Weiyu; Zhan, Xinhui; Santhanam, Radhika
• 署名单位: University of Oklahoma System; University of Oklahoma - Norman
• 刊物名称: JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
• ISSN/ISSBN: 0742-1222
• DOI: 10.1080/07421222.2025.2487314
• 发表日期: 2025
• 页码: 431-456
• 关键词: statistical power; algorithms

摘要

While digital platform vendors are rapidly offering new generative artificial intelligence products (GAIPs), prior research on algorithmic aversion suggests that users may not respond to them the same way as to the human-generated products (HGPs). We propose that GAIPs induce psychological value, defined as a user's intrinsic desire for a product that can influence their willingness to pay and may depend on the product type. Disclosing a product as a GAIP or HGP could further influence user reactions. From our randomized experiments with three different products representing functional, hybrid, and creative product types, we find psychological value plays an important role in creative products, such as wall art. Human disclosure shows no effect on functional or highly creative products. Our study theoretically extends the algorithmic aversion literature by illustrating the role of psychological value in GAIP highlighting the nuanced role of product type and disclosure in influencing user reactions and offering practical implications.