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Cited by 348

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

A Review and Taxonomy of Choice Architecture Techniques

Münscher, Robert, Vetter, Max, Scheuerle, Thomas·2016·Journal of Behavioral Decision Making

Abstract

We present a taxonomy of choice architecture techniques that focus on intervention design, as opposed to the underlying cognitive processes that make an intervention work. We argue that this distinction will facilitate further empirical testing and will assist practitioners in designing interventions. The framework is inductively derived from empirically tested examples of choice architecture and consists of nine techniques targeting decision information, decision structure, and decision assistance. An inter‐rater reliability test demonstrates that these techniques can be used in an intersubjectively replicable way to describe sample choice architectures. We conclude by discussing limitations of the framework and key issues concerning the use of the techniques in the development of new choice architectures. Copyright © 2015 John Wiley & Sons, Ltd.

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Metadata

Authors
Münscher, R., Vetter, M., & Scheuerle, T.
Venue
Journal of Behavioral Decision Making
Publisher
Wiley
Published
2015-08-14
Volume
29
Issue
5
Pages
511-524
ISSN
  • 0894-3257 (ISSN-L)
  • 1099-0771
OpenAlex
W2096482424
Cited by
348
References
30
FWCI
4.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Review and Taxonomy of Choice Architecture Techniques. https://app.cochat.ai/papers/10.1002/bdm.1897
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Münscher, R., Vetter, M., & Scheuerle, T. (2016). A Review and Taxonomy of Choice Architecture Techniques. Journal of Behavioral Decision Making. https://doi.org/10.1002/bdm.1897

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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.