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The Dual Credibility Model: The Influence of Corporate and Endorser Credibility on Attitudes and Purchase Intentions

Authors: Barbara A. Lafferty; Ronald E. Goldsmith; Stephen J. Newell;

The Dual Credibility Model: The Influence of Corporate and Endorser Credibility on Attitudes and Purchase Intentions

Abstract

This study proposes a theory of the combined influence of corporate and endorser credibility. Participants assessed the credibility of the companies and spokespersons as well as their attitudes toward the ads and brands, and their intent to purchase the advertised product. The covariance matrix was subjected to a path analysis. The model fit the data, and the findings corroborated prior research indicating that both types of source credibility have an impact on attitudes and purchase intentions albeit a differential one. The results suggest that the Dual Credibility Model partially predicts and explains advertising effectiveness for these dual sources of credibility.

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    popularity
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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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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!
270
Top 1%
Top 1%
Top 10%
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