Privacy notices mandated by GDPR are often complex, creating information asymmetry between firms and users, and decreasing transparency in this relationship. This study, grounded in Signaling Theory, explores how the content and format of communications about privacy notices influence perceived app transparency and intention to use the app. A between-subjects experiment using a hypothetical AI-based health app assessed six communication variations, combining content (data collection, processing, dissemination) and format (text vs. infographic). Findings reveal that comprehensive communications enhance perceived app transparency more than partial ones, subsequently increasing users' intention to use the app. Infographics improve app transparency perception, particularly in limited-information scenarios, but offer diminishing returns when more information is provided. These results extend the application of Signaling Theory and provide valuable insights for firms.
Communicating in Support of Privacy Notices. The Fundamental Role of Content and Format
N. Testi;G. Gistri
2025-01-01
Abstract
Privacy notices mandated by GDPR are often complex, creating information asymmetry between firms and users, and decreasing transparency in this relationship. This study, grounded in Signaling Theory, explores how the content and format of communications about privacy notices influence perceived app transparency and intention to use the app. A between-subjects experiment using a hypothetical AI-based health app assessed six communication variations, combining content (data collection, processing, dissemination) and format (text vs. infographic). Findings reveal that comprehensive communications enhance perceived app transparency more than partial ones, subsequently increasing users' intention to use the app. Infographics improve app transparency perception, particularly in limited-information scenarios, but offer diminishing returns when more information is provided. These results extend the application of Signaling Theory and provide valuable insights for firms.| File | Dimensione | Formato | |
|---|---|---|---|
|
Abstract EMAC 2025.pdf
solo utenti autorizzati
Tipologia:
Documento in post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza:
DRM non definito
Dimensione
419.77 kB
Formato
Adobe PDF
|
419.77 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


