“…The latter particularly pertains to collaborative filtering (Milano et al, 2020 ). Given the extensive use of customer information and data-driven, analytical approaches in marketing, marketing scholars and practitioners have been and are highly concerned with privacy issues (e.g., Bleier et al, 2020 ; Martin & Murphy, 2017 ; Martin & Palmatier, 2020 ; Martin et al, 2020 ; Okazaki et al, 2020 ; Stewart, 2017 ; Thomaz et al, 2020 ). The massive amounts of data feeding AI systems and applications potentiates privacy and data protection issues, as discussed for algorithms (e.g., Mittelstadt et al, 2016 ), recommender systems (e.g., Milano et al, 2020 ), and psychological targeting (e.g., Matz, Appel, et al, 2019 ; Matz, Menges, et al, 2019 ; Matz, Segalin, et al, 2019 ), among other things.…”