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Cited by 283

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

How Does Motivation Moderate the Impact of Central and Peripheral Processing on Brand Attitudes and Intentions?

Mackenzie, Scott B., Spreng, Richard A.·1992·Journal of Consumer Research

Abstract

This study examined how motivation moderates the impact of central and peripheral processing on the formation of brand attitudes and purchase intentions in an advertising pretest setting. The results indicate that increasing motivation to evaluate an advertised brand through the manipulation of consumer processing goals (1) increases the impact of central brand processing on brand attitudes and decreases the impact of a peripheral cue on brand attitudes, primarily by influencing the strengths of the relations among these constructs rather than by influencing their mean levels, (2) has no effect on the impact of the peripheral cue on brand cognitions, and (3) increases the impact of brand attitudes on purchase intentions by strengthening the attitude-intention relation and by increasing brand attitudes directly. The theoretical and practical implications of these findings are discussed.

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Metadata

Authors
Mackenzie, S. B., & Spreng, R. A.
Venue
Journal of Consumer Research
Published
1992-03
Volume
18
Issue
4
Pages
519
ISSN
  • 0093-5301 (ISSN-L)
  • 1537-5277
OpenAlex
W2074394478
Cited by
283
References
3
FWCI
20.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: How Does Motivation Moderate the Impact of Central and Peripheral Processing on Brand Attitudes and Intentions? https://app.cochat.ai/papers/10.1086/209278
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Mackenzie, S. B., & Spreng, R. A. (1992). How Does Motivation Moderate the Impact of Central and Peripheral Processing on Brand Attitudes and Intentions? Journal of Consumer Research. https://doi.org/10.1086/209278

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.