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To have and to Hold: The Influence of Haptic Information on Product Judgments

Peck, Joann, Childers, Terry L.·2003·Journal of Marketing

Abstract

Haptic information, or information attained through touch by the hands, is important for the evaluation of products that vary in terms of material properties related to texture, hardness, temperature, and weight. The authors develop and propose a conceptual framework to illustrate that salience of haptic information differs significantly across products, consumers, and situations. The authors use two experiments to assess how these factors interact to impair or enhance the acquisition and use of haptic information. Barriers to touch, such as a retail display case, can inhibit the use of haptic information and consequently decrease confidence in product evaluations and increase the frustration level of consumers who are more motivated to touch products. In addition, written descriptions and visual depictions of products can partially enhance acquisition of certain types of touch information. The authors synthesize the results of these studies and discuss implications for the effect of haptic information for Internet and other nonstore retailing as well as for traditional retailers.

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Citations

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Metadata

Authors
Peck, J., & Childers, T. L.
Venue
Journal of Marketing
Published
2003-04
Volume
67
Issue
2
Pages
35-48
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W2113293638
Cited by
617
References
1
FWCI
22.33
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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CoChat. (2026). Citation check: To have and to Hold: The Influence of Haptic Information on Product Judgments. https://app.cochat.ai/papers/10.1509/jmkg.67.2.35.18612
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Peck, J., & Childers, T. L. (2003). To have and to Hold: The Influence of Haptic Information on Product Judgments. Journal of Marketing. https://doi.org/10.1509/jmkg.67.2.35.18612

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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.