Paper Type
Complete
Paper Number
PACIS2025-1638
Description
This study investigates the effects of different levels of personalization in mobile pop-up ads—non-personalized, low-personalization, and high-personalization—on consumer attention, ad attitude, ad recall, and purchase intention. It also explores the moderating role of privacy concerns. Drawing on the AIDA model as the overarching theoretical framework, and integrating theories such as the limited capacity model, and privacy calculus, the study employs a laboratory experiment using eye-tracking technology. Results indicate that only high-personalization ads significantly enhance attention, and that ad attention positively influences ad attitude and ad recall, which in turn affect purchase intention. Privacy concerns partially moderate these relationships. Theoretical and practical implications are discussed.
Recommended Citation
Hsu, Chiung-Wen; Fu, JenRuei Fred; and Kang, Han-Ji, "Personalization vs. Privacy: Understanding Consumer Responses to Personalized Mobile Pop-Up Ads" (2025). PACIS 2025 Proceedings. 1.
https://aisel.aisnet.org/pacis2025/hci/hci/1
Personalization vs. Privacy: Understanding Consumer Responses to Personalized Mobile Pop-Up Ads
This study investigates the effects of different levels of personalization in mobile pop-up ads—non-personalized, low-personalization, and high-personalization—on consumer attention, ad attitude, ad recall, and purchase intention. It also explores the moderating role of privacy concerns. Drawing on the AIDA model as the overarching theoretical framework, and integrating theories such as the limited capacity model, and privacy calculus, the study employs a laboratory experiment using eye-tracking technology. Results indicate that only high-personalization ads significantly enhance attention, and that ad attention positively influences ad attitude and ad recall, which in turn affect purchase intention. Privacy concerns partially moderate these relationships. Theoretical and practical implications are discussed.
Comments
HCI