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Online Advertising Intermediary

How Online Advertising Works?
Authors: Payam Hanafizadeh; Mehdi Behboudi; Hamideh Mokhtari Hasanabad;

Online Advertising Intermediary

Abstract

Applying bleeding edge courses of action in advertising is always a case on the table of decision makers. In online case, lack of a practice to place right advertisement in a right time for the right user has been counted as biggest challenage. On the other hand, “ad clutter”, the key criticism on online advertising; is about to put online advertisement's benefits away and annoying users more than before. Accordingly, this article aims at scrutinizing this critical problem by incorporating one of the next generation technologies, Lead Generation. This study introduces an e-business framework in advertisement intermediating in the form of a framework so that lets advertisers advertise in customized way. In this approach, the authors focused on displaying a personalized ad for each user by which marketers could redirect their visiting prospects into becoming their own consumers. At the end, the managerial implications are reported.

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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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!
1
Average
Average
Average
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