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To Click or Not to Click? Investigating Antecedents of Advertisement Clicking on Facebook

Authors: Yoojung Kim; Mihyun Kang; Sejung Marina Choi; Yongjun Sung;

To Click or Not to Click? Investigating Antecedents of Advertisement Clicking on Facebook

Abstract

Using its technological capabilities, Facebook has introduced customized and more relevant commercial messages for its growing number of advertisement-savvy users. We empirically examined the factors that influence the way in which users respond to Facebook-based advertising, using the perceived advertising values posited by Ducoffe's model and Facebook usage behavior as a basis. The results of an online survey that involved 758 participants show that users are more likely to click on Facebook-based advertising if they perceive it as informative rather than irritating. Moreover, the extent to which users depend on Facebook and participate as "fans" on brand pages positively impacts the likelihood that they will click on advertising.

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Found an issue? Give us feedback
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!
21
Top 10%
Top 10%
Top 10%
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