I. Introduction
Growing consumer privacy concerns play an important role in the process of collecting used smart products [1]. Empowered by technologies, such as cloud, Internet of Things, and big data analytics, smart devices, such as smartphones, tablets, and smart cars, possess the ability to collect, monitor, control, and optimize user data [2], [3]. These data, stored within the physical components of smart products, have the potential to expose consumers' personal information during the product recovery process. For example, according to white hat hacker GreenTheOnly [4], Tesla does not erase personal data from replaced components (e.g., media control units and autopilot hardware). Each old module still carries personal information about the previous user, such as “owner's home and work locations, all saved Wi-Fi passwords, calendar entries, call lists, and address books from paired phones, Netflix, and other stored session cookies.” Additionally, according to a survey conducted by Blancco [5], approximately 26% of the consumers are unwilling to participate in a trade-in process that lacks adequate privacy protection, citing privacy concerns. This subgroup of consumers, characterized by their heightened privacy apprehensions, can be labeled as individuals with high privacy concerns. There is limited research on the impact of privacy concerns on trade-in promotions, although many studies have focused on privacy concerns in the forward supply chain [6], [7], [8].