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Cited by 446

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

State versus Action Orientation and the Theory of Reasoned Action: An Application to Coupon Usage

Bagozzi, Richard P., Baumgartner, Hans, Yi, Youjae·1992·Journal of Consumer Research

Abstract

This article investigates how the individual difference variable of state versus action orientation moderates the pattern of relationships among constructs in the theory of reasoned action. State orientation refers to a low capacity for the enactment of action-related mental structures, whereas action orientation refers to a high capacity for this type of enactment. A field study was conducted in the context of consumers' self-reported usage of coupons for grocery shopping. The results showed that state versus action orientation moderates the relative importance of determinants of intentions; specifically, subjective norms become more important as people become state oriented, whereas the relative importance of attitudes increases as people become action oriented. In addition, the study showed that past behavior is a determinant of intentions to use coupons.

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Metadata

Authors
Bagozzi, R. P., Baumgartner, H., & Yi, Y.
Venue
Journal of Consumer Research
Published
1992-03
Volume
18
Issue
4
Pages
505
ISSN
  • 0093-5301 (ISSN-L)
  • 1537-5277
OpenAlex
W2091718569
Cited by
446
References
8
FWCI
7.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: State versus Action Orientation and the Theory of Reasoned Action: An Application to Coupon Usage. https://app.cochat.ai/papers/10.1086/209277
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Bagozzi, R. P., Baumgartner, H., & Yi, Y. (1992). State versus Action Orientation and the Theory of Reasoned Action: An Application to Coupon Usage. Journal of Consumer Research. https://doi.org/10.1086/209277

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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.