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Information Processing from Advertisements: Toward an Integrative Framework
Abstract
The authors provide a framework and a set of research propositions that capture and extend current theory on information processing from advertisements. The integrative attitude formation model includes antecedent levels of ability, motivation, and opportunity (AMO), processing of brand information, cognitive and emotional responses, brand attitude formation processes, and brand attitude. Key features of the framework are (1) a more complete, integrative discussion of needs and motivation, (2) a more precise specification of processing mechanisms than currently is proposed in two-routes-to-persuasion models, (3) inclusion of a new typology of emotional and cognitive responses explicitly linked to the levels of brand processing, and (4) a discussion of how alternative attitude formation models correspond to each level of brand processing. To assess the relative advantage of the framework, the authors compare the model with previous integrative models and discuss its implications for related research streams.
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“Adapted from psychology and mass communication theory and widely used in marketing research and practice (MacInnis and Jaworski 1989;Eisend and Tarrahi 2016), this paradigm posits that responses to marketing communications are fundamentally social phenomena (Pozharliev et al. 2015;Hamilton et al., 2021).”
From Influencers and the choice of a travel destination: A customer journey and information processing perspective (2025) · cites this paper as MacInnis and Jaworski 1989
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Mobile advertising: A framework and research agenda
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Metadata
- Authors
- MacInnis, D. J., & Jaworski, B. J.
- Affiliations
- University of Arizona (US)
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 1989-10
- Volume
- 53
- Issue
- 4
- Pages
- 1-23
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W4244821477
- Semantic Scholar
- 070c39eefc1e9402fc412198b1bd13b4e9af74fc
- Cited by
- 653
- References
- 124
- Citations by year
- 2026: 46 · 2025: 65 · 2024: 39 · 2023: 59 · 2022: 51 · 2021: 39 · 2020: 41 · 2019: 30 · 2018: 29 · 2017: 13 · 2016: 13 · 2015: 15 · 2014: 17 · 2013: 34 · 2012: 13
- FWCI
- 11.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
- Locations
- Journal of Marketing (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior in Brand Consumption and Identification
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Keywords
- attitude formation, brand attitude, emotional responses, cognitive responses, consumer motivation, advertising effects
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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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.