Gen Z's personalization paradoxes: A privacy calculus examination of digital personalization and brand behaviors
نویسندگان
چکیده
Employing privacy calculus theory, we examine why Gen Z consumers increasingly adopt ad blockers, use private browsers, or take other measures to limit data tracking. Specifically, evaluate consumer behaviors related personalized and non-personalized digital marketing in light of two personalization paradoxes: privacy–benefits avoidance–annoyance. Using structural equation modeling on a sample 414 consumers, our findings show that both the paradox avoidance–annoyance strongly influence consumers' intentions avoid brands fail personalize efforts. We also explore interaction effects tensions, showing tradeoffs exist between utilization these paradoxes. Our underscore key implications for marketers investing efforts enhance consumer–brand relationships.
منابع مشابه
Privacy-Enhanced Web Personalization
Consumer studies demonstrate that online users value personalized content. At the same time, providing personalization on websites seems quite profitable for web vendors. This win-win situation is however marred by privacy concerns since personalizing people's interaction entails gathering considerable amounts of data about them. As numerous recent surveys have consistently demonstrated, comput...
متن کاملPrivacy in Cross-System Personalization
Cross-system personalization (CSP), an innovative technology that enables consistent personalized user experience across different applications, platforms and even devices, is gaining substantial momentum both in academia and industry. Despite the potential benefits to both service providers and end users, CSP raises thorny privacy issues. This paper discusses these potential privacy issues in ...
متن کاملLeveraging Personalization To Facilitate Privacy
Online social networks have enabled new methods and modalities of collaboration and sharing. These advances bring privacy concerns: online social data is more accessible and persistent and simultaneously less contextualized than traditional social interactions. To allay these concerns, many web services allow users to configure their privacy settings based on a set of multiple-choice questions....
متن کاملPrivacy - Enhanced Personalization ( Pep 2005 )
We have been developing dynamic user modeling techniques, while also pursuing policy research to strike a balance between an individual's privacy and society's security. We analyze user modeling through our policy lens, known as the behavior-identity knowledge (BIK) framework and offer suggestions on how to protect user privacy. Existing work by Kobsa [1] and Cranor [2] has highlighted personal...
متن کاملA decentralized privacy-enabling TV personalization framework
While there has been many studies on personalization frameworks for iTV, few have raised the issue of personal information ubiquity and privacy. Our purpose is to address both of them, thanks to the use of a smart card based personal profile engine. We additionally propose an innovative solution to mix content based and collaborative filtering using a decentralized architecture. We illustrate t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Consumer Behaviour
سال: 2023
ISSN: ['1472-0817', '1479-1838']
DOI: https://doi.org/10.1002/cb.2199