A Model of Two Learning Processes
研究消费者在购买前如何从他人选择中推断并主动获取信息，提出整合观察学习和主动学习的模型，分析卖方如何动态定价以应对这两种学习过程。对研究消费者学习和定价策略的学者有用。
Many studies have shown that consumers, before deciding whether to purchase a new product or service, draw inferences from the choices of other consumers and actively acquire information from other sources. We propose a novel model that integrates two learning processes: observational learning and active learning. Building upon the classic observational learning framework, this model allows each consumer to make dynamic choices of information acquisition. We first analyze consumers’ learning behavior with a given price, and then, we endogenize the seller’s dynamic pricing strategy in response to the two learning processes of consumers. We show that a forward-looking seller may find it optimal to sacrifice short-run profits by setting a price that induces active learning rather than deters it, thereby improving the information transmitted through observational learning and ultimately, increasing expected future profits. We also investigate consumers’ learning behavior, the seller’s dynamic pricing strategy, and long-run market learning outcomes when the speed of information acquisition increases with sales. This paper was accepted by Greg Shaffer, marketing. Funding: Z. Gong thanks the National Science Foundation of China [Grant 72332004] for the support. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2024.08603 .