2020
DOI: 10.1016/j.jretai.2020.08.003
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Data Privacy in Retail

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Cited by 56 publications
(33 citation statements)
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“…These authors also suggest the use of signals that are considered less sensitive. This is consistent with the perspective of only collecting the minimum data necessary to support decision making (e.g., Martin et al, 2020 ). Through such steps, rather than trying to minimize consumers’ concerns about emitting signals that can be used by the firm, Bleier et al ( 2020 ) contend that firms can encourage signal emission by providing sufficient value to outweigh the perceived costs that arise from sharing information.…”
Section: Firm Capabilities For Using Digital Signals Along the Custom...supporting
confidence: 88%
See 1 more Smart Citation
“…These authors also suggest the use of signals that are considered less sensitive. This is consistent with the perspective of only collecting the minimum data necessary to support decision making (e.g., Martin et al, 2020 ). Through such steps, rather than trying to minimize consumers’ concerns about emitting signals that can be used by the firm, Bleier et al ( 2020 ) contend that firms can encourage signal emission by providing sufficient value to outweigh the perceived costs that arise from sharing information.…”
Section: Firm Capabilities For Using Digital Signals Along the Custom...supporting
confidence: 88%
“…Beyond the question of how firms collect signals, a fundamental question arises as to the perceived appropriateness of gathering different types of signals. Martin et al ( 2020 ) note that data minimization is one means by which consumers’ personal information can be protected, ensuring that only the necessary signals are collected. In addition to identifying the data necessary to support their marketing operations, firms should weigh how consumers will perceive the appropriateness of gathering these digital signals.…”
Section: Firm Capabilities For Using Digital Signals Along the Custom...mentioning
confidence: 99%
“…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.…”
Section: The Ethics Of Ai In Marketingmentioning
confidence: 99%
“…For instance, privacy concerns have been found to be negatively related to purchase behavior and purchase intentions (Jai et al, 2013; Phelps et al, 2001) and may increase the likelihood of a consumer fabricating personal information, adopting protection technologies, and refusing to register or make a purchase online (Lwin et al, 2007). Therefore, some retailers have started to use consumer data privacy as a proactive retail strategy to differentiate themselves from their competitors (Martin et al, 2020). This study proposes that consumers' privacy concerns will be reduced when a U.S. online retailer voluntarily chooses to apply the GDPR rights to U.S. consumers.H1 Applying the GDPR rights to U.S. consumers will reduce U.S. consumers' privacy concerns.…”
Section: Customer Relations‐integrated Model Of Privacy Concerns Trust and Commitmentmentioning
confidence: 99%