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Cited by 159

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Automatic and Strategic Processes in Advertising Effects

Grunert, Klaus G.·1996·Journal of Marketing

Abstract

The author distinguishes two kinds of cognitive processes: automatic processes, which are mostly subconscious, are learned and changed slowly and are not subject to the capacity limitations of working memory, and strategic processes, which are conscious, are subject to capacity limitations, and can easily be adapted to situational circumstances. The perception of advertising and the way it influences brand evaluation involves both processes. Automatic processes govern the recognition of advertising stimuli, the relevance decision that determines further higher-level processing, the retrieval of information, and the provision of a heuristic for brand evaluation. Strategic processes govern learning and inference formation. The relative importance of both types of processes depends on product involvement. The distinction of these two types of processes leads to some conclusions that are at variance with current notions about advertising effects. For example, the attention span problem is relevant only for strategic processes. A certain amount of learning can occur with little conscious effort, and advertising's effect on brand evaluation may be more stable for low- than for high-involvement products.

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Metadata

Authors
Grunert, K. G.
Venue
Journal of Marketing
Published
1996-10
Volume
60
Issue
4
Pages
88-101
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W2316280440
Cited by
159
References
11
FWCI
12.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Automatic and Strategic Processes in Advertising Effects. https://app.cochat.ai/papers/10.1177/002224299606000408
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Grunert, K. G. (1996). Automatic and Strategic Processes in Advertising Effects. Journal of Marketing. https://doi.org/10.1177/002224299606000408

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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.