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Cited by 555

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Preference Fluency in Choice

Novemsky, Nathan, Dhar, Ravi, Schwarz, Norbert, Simonson, Itamar·2007·Journal of Marketing Research

Abstract

The authors propose that consumer choices are often systematically influenced by preference fluency (i.e., the subjective feeling that forming a preference for a specific option is easy or difficult). Four studies manipulate the fluency of preference formation by presenting descriptions in an easy- or difficult-to-read font (Study 1) or by asking participants to think of few versus many reasons for their choice (Studies 2–4). As the authors predict, subjective experiences of difficulty increase choice deferral (Studies 1 and 2) and the selection of a compromise option (Studies 3 and 4), unless consumers are induced to attribute the experience to an unrelated cause. Unlike studies of decision conflict, these effects are obtained without changing the attributes of the alternatives, the composition of the choice sets, or the reference points. The authors discuss the theoretical and practical implications of the results.

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Metadata

Authors
Novemsky, N., Dhar, R., Schwarz, N., & Simonson, I.
Venue
Journal of Marketing Research
Published
2007-08
Volume
44
Issue
3
Pages
347-356
ISSN
  • 0022-2437 (ISSN-L)
  • 1547-7193
OpenAlex
W2152025661
Cited by
555
References
34
FWCI
17.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Preference Fluency in Choice. https://app.cochat.ai/papers/10.1509/jmkr.44.3.347
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Novemsky, N., Dhar, R., Schwarz, N., & Simonson, I. (2007). Preference Fluency in Choice. Journal of Marketing Research. https://doi.org/10.1509/jmkr.44.3.347

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.