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Cited by 923

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Predicting Behavior From Actions in the Past: Repeated Decision Making or a Matter of Habit?

Aarts, Henk, Verplanken, Bas, van Knippenberg, Ad·1998·Journal of Applied Social Psychology

Abstract

This paper summarizes research on determinants of repeated behaviors, and the decision processes underlying them. The present research focuses on travel mode choices as an example of such behaviors. It is proposed that when behavior is performed repeatedly and becomes habitual, it is guided by automated cognitive processes, rather than being preceded by elaborate decision processes (i.e., a decision based on attitudes and intentions). First, current attitude‐behavior models are discussed, and the role of habit in these models is examined. Second, research is presented on the decision processes preceding travel mode choices. Based on the present theoretical and empirical overview, it is concluded that frequently performed behavior is often a matter of habit, thereby establishing a boundary condition for the applicability of attitude‐behavior models. However, more systematic research is required to disentangle the role of habit in attitude‐behavior models and to learn more about the cognitive processes underlying habitual behavior.

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Registry

Crossref · 10.1111/j.1559-1816.1998.tb01681.x

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Metadata

Authors
Aarts, H., Verplanken, B., & van Knippenberg, A.
Venue
Journal of Applied Social Psychology
Publisher
Wiley
Published
1998-08
Volume
28
Issue
15
Pages
1355-1374
ISSN
  • 0021-9029 (ISSN-L)
  • 1559-1816
OpenAlex
W2109476162
Cited by
923
References
7
FWCI
14.68
Type
journal article
Language
en
Open access
closed

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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.