The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Product Scent and Memory
Open accessAbstract
Scent research has focused primarily on the effects of ambient scent on consumer evaluations. We focus instead on the effects of product scent on consumer memories. For instance, if a pencil or a facial tissue is imbued with scent (vs. not), recall for the brand's other attributes increases significantly—with the effects lasting as much as 2 weeks after exposure. We also find that product scent is more effective than ambient scent at enhancing memory for product information. We suggest that this may be because, with product (ambient) scent, scent-related associations are focused on a single object (are diffused across multiple objects) in the environment. In support, we find that the memory effects are driven by the number of product/scent-related associations stored in long-term memory. The results suggest that, although ambient scent has received the bulk of attention from researchers and managers in recent years, greater focus on product scent is warranted.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models
Sobel, M. E. (1982) · Sociological Methodology · doi:10.2307/270723 · Cited by 12,810
A novel multigene family may encode odorant receptors: A molecular basis for odor recognition
Buck, L., & Axel, R. (1991) · Cell · doi:10.1016/0092-8674(91)90418-x · Cited by 4,987
Short-term retention of individual verbal items.
Peterson, L., & Peterson, M. J. (1959) · Journal of Experimental Psychology · doi:10.1037/h0049234 · Cited by 2,939
Cited by
Williams, J., Stönner, C., Wicker, J., Krauter, N., Derstroff, B., Bourtsoukidis, E., Klüpfel, T., & Kramer, S. (2016) · Scientific Reports · doi:10.1038/srep25464 · Cited by 105
Wörfel, P., Frentz, F., & Tautu, C. (2022) · European Journal of Marketing · doi:10.1108/ejm-07-2020-0510 · Cited by 84
Metadata
- Authors
- Krishna, A., Lwin, M. O., & Morrin, M.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-06
- Volume
- 37
- Issue
- 1
- Pages
- 57-67
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2073448283
- Cited by
- 190
- References
- 3
- FWCI
- 11.44
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Product Scent and Memory. https://app.cochat.ai/papers/10.1086/649909
- The paper
- Krishna, A., Lwin, M. O., & Morrin, M. (2010). Product Scent and Memory. Journal of Consumer Research. https://doi.org/10.1086/649909
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.
