Beyond Privacy: A Study on Gen Z Consumers' Willingness to Share Personal Data for Personalized Digital Marketing in Hyderabad
Keywords:
Personal Data Awareness, Privacy Concerns, Brand Trust, Perceived Usefulness of Personalization, Incentive Perception, Willingness to Share Data, Generation Z, Personalized Digital Marketing, Hyderabad.Abstract
In the contemporary digital economy, personalized marketing has become a central feature of how brands communicate with consumers. Marketers increasingly use data such as browsing history, search behaviour, purchase history, interests and preferences to tailor advertisements, product recommendations and promotional offers. This growing use of consumer data exists alongside concerns about privacy, data misuse and the transparency of corporate data practices. Generation Z, the first digital-native cohort, is both a major target of personalized digital marketing and a group with considerable exposure to online data collection. This project proposes to examine the willingness of Gen Z consumers in Hyderabad, Telangana, to share personal data in exchange for personalized digital marketing.
References
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42.
Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50.
Dimock, M. (2019, January 17). Defining generations: Where Millennials end and Generation Z begins. Pew Research Center.
EY. (2024, August 6). 62% of Indians made purchases based on AI recommendations: EY report. exchange4media. https://www.exchange4media.com/marketing-news/62-of-indians-made-purchases-based-on-ai-recommendations-ey-report-136230.html
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Surbakti, F. P. S., Hutahaean, H. A., Inderawati, M. M. W., Madjid, J. M., Sely, L. E., & Yee, Y.-M. (2025). How AI-driven personalization shapes green purchasing behavior among youth in Java Island. Sustainability, 17(21), 9600. https://doi.org/10.3390/su17219600
Wang, K., Lu, L., Fang, J., Xing, Y., Tong, Z., & Wang, L. (2023). The downside of artificial intelligence (AI) in green choices: How AI recommender systems decrease green consumption. Managerial and Decision Economics, 44(6), 3346–3353. https://doi.org/10.1002/mde.3882
Published
How to Cite
Issue
Section
Copyright (c) 2026 Journal of Advanced Research in Operational and Marketing Management

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.