The DOI matches its Crossref record.
The Differential Role of Characteristics of Music on High- and Low- Involvement Consumers' Processing of Ads
Abstract
This article examines the impact of two dimensions of music—its fit with the advertised message and its ties to past emotion-laden experiences (indexicality)—on low- and high-involvement consumers' ad processing. Previous research suggests that executional cues in an ad exert their influence primarily under conditions of low involvement in the form of peripheral-route processing. However, this view may be overly simplistic. Certain executional cues may influence central-route (message-based) and peripheral (non-message-based) processing of both high- and low-involvement consumers; however, the direction of this influence may depend on both the specific characteristic of the cue and the level of consumer involvement. The results of this research generally are consistent with these expectations.
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
Cited by
The Persuasion Knowledge Model: How People Cope with Persuasion Attempts
Friestad, M., & Wright, P. (1994) · Journal of Consumer Research · doi:10.1086/209380 · Cited by 3,811
Baker, J., Parasuraman, A., Grewal, D., & Voss, G. B. (2002) · Journal of Marketing · doi:10.1509/jmkg.66.2.120.18470 · Cited by 2,257
Measuring Attitude toward the Brand and Purchase Intentions
Spears, N., & Singh, S. N. (2004) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.2004.10505164 · Cited by 1,812
The influence of in-store music on wine selections.
North, A. C., Hargreaves, D. J., & McKendrick, J. (1999) · Journal of Applied Psychology · doi:10.1037//0021-9010.84.2.271 · Cited by 508
The role of perceived product quality and overall satisfaction on purchase intentions
Tsiotsou, R. (2006) · International Journal of Consumer Studies · doi:10.1111/j.1470-6431.2005.00477.x · Cited by 499
Metadata
- Authors
- Macinnis, D. J., & Park, C. W.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1991-09
- Volume
- 18
- Issue
- 2
- Pages
- 161
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2041385527
- Cited by
- 473
- References
- 0
- FWCI
- 17.82
- Type
- journal article
- Language
- en
- Open access
- closed
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: The Differential Role of Characteristics of Music on High- and Low- Involvement Consumers' Processing of Ads. https://app.cochat.ai/papers/10.1086/209249
- The paper
- Macinnis, D. J., & Park, C. W. (1991). The Differential Role of Characteristics of Music on High- and Low- Involvement Consumers' Processing of Ads. Journal of Consumer Research. https://doi.org/10.1086/209249
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.