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Online Advertising

Initial versus Further Avoidance
Authors: Mehdi Behboudi; Amir Abedini Koshksaray;

Online Advertising

Abstract

This study expands previous models of avoidance on online advertising, in particular, Cho and Cheon (2004)'s model, and examines two new dimensions on why people avoid advertising on the Internet. The study presents a comprehensive theoretical model and examines seven exogenous latent variables based on structural equation modeling, SEM. By using SEM the authors found that seven latent variables including user-perceived ad quality, internet life style, primary motives, gender differences (initial ad avoidance), perceived ad clutter, prior negative experience, and perceived goal impediment (further ad avoidance) collectively explain why people avoid advertising on the Internet. The authors found that avoidance has two key dimensions «initial ad avoidance» and «further ad avoidance.”

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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