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Cited by 431

The DOI matches its OpenAlex record; 31 of the 31 references it cites were found in a registry or an index.

“What Is It?” Categorization Flexibility and Consumers' Responses to Really New Products

C. Moreau, Arthur B. Markman, Donald R. Lehmann·2001·Springer eBooks

Abstract

To understand really new products, consumers face the challenge of constructing new knowledge structures rather simply changing existing ones. Recent research in categorization suggests that one strategy for creating representations for these new products is to use information already contained in familiar product categories. While knowledge from multiple existing categories may be relevant, little research has examined how (and if) consumers process information drawn from more than one domain. We use two experiments to demonstrate how consumers use cues from multiple categories to develop expectations about and preferences for new products. Our findings suggest that the first plausible category label provided to the consumer significantly influences their categorizations, expectations, and preferences. Only when advertisers place limits on the type of information to transfer from each existing category can consumers use information from multiple categories effectively.

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OpenAlex · 10.1007/978-3-031-88079-7_7

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Metadata

Authors
Moreau, C., Markman, A. B., & Lehmann, D. R.
Venue
Springer eBooks
Publisher
Springer Nature
Published
2001-03-01
Volume
27
Issue
4
Pages
129-145
OpenAlex
W2110236542
Cited by
431
References
31
FWCI
46.21
Type
book chapter
Language
en
Open access
closed

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Moreau, C., Markman, A. B., & Lehmann, D. R. (2001). “What Is It?” Categorization Flexibility and Consumers' Responses to Really New Products. Springer eBooks. https://doi.org/10.1007/978-3-031-88079-7_7

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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.