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Cited by 454

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Enhancing and Measuring Consumers’ Motivation, Opportunity, and Ability to Process Brand Information from Ads

Maclnnis, Deborah J., Moorman, Christine, Jaworski, Bernard J.·1991·Journal of Marketing

Abstract

Considerable research suggests that advertising executional cues can influence communication effectiveness. Related research indicates that communication effectiveness is in part driven by consumers’ motivation, opportunity, and ability (MOA) to process brand information from an ad. However, little research has explicitly linked executional cues to communication effectiveness via their impact on MOA and levels of processing. The authors present a framework that explicitly provides such a linkage. The framework highlights the mediational role of MOA in the relationships among executional cues and communication outcomes. It also provides a theoretical account that links apparently disparate cues to their common effects on motivation, opportunity, or ability. The framework is complemented by a critical review of current measures of MOA and proposed measures based on the review. Research issues raised by the framework and the proposed measures are discussed.

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Metadata

Authors
Maclnnis, D. J., Moorman, C., & Jaworski, B. J.
Venue
Journal of Marketing
Published
1991-10
Volume
55
Issue
4
Pages
32-53
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W2171336051
Cited by
454
References
5
FWCI
3.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Enhancing and Measuring Consumers’ Motivation, Opportunity, and Ability to Process Brand Information from Ads. https://app.cochat.ai/papers/10.1177/002224299105500403
The paper
Maclnnis, D. J., Moorman, C., & Jaworski, B. J. (1991). Enhancing and Measuring Consumers’ Motivation, Opportunity, and Ability to Process Brand Information from Ads. Journal of Marketing. https://doi.org/10.1177/002224299105500403

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.