Mining of massive datasets
This study attempts to identify the potential determinants of advertising avoidance in the context of person- alized advertising media, including unsolicited commercial e-mail, postal direct mail, telemarketing, and text messaging. Using a self-administered survey (n = 442), the proposed model is tested with structural equation modeling analysis. The findings indicate that while ad skepticism partially mediates the relationship between ad avoidance and its three determi- nants (perceived personalization, privacy concerns, and ad irritation), both privacy concerns and ad irritation have a direct positive effect on ad avoidance. However, increased perceived personalization leads directly to decreased ad avoidance.
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