The DOI matches its Crossref record.
The Impact of Television Advertising: Learning Without Involvement
Abstract
Does television advertising produce sales by changing attitudes? Not always, says Herbert E. Krugman in his presidential address before the American Association for Public Opinion Research on May 15, 1965. It may do so, he states, just by changing perceptions of the product in the course of merely shifting the relative salience of attitudes, especially when the purchaser is not particularly involved in the message. This arresting thesis has important implications for noncommercial as well as commercial persuasion efforts.
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
Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement
Petty, R. E., Cacioppo, J. T., & Schumann, D. (1983) · Journal of Consumer Research · doi:10.1086/208954 · Cited by 4,610
Dimensions of Consumer Expertise
Alba, J. W., & Hutchinson, J. W. (1987) · Journal of Consumer Research · doi:10.1086/209080 · Cited by 4,375
Are Product Attribute Beliefs the Only Mediator of Advertising Effects on Brand Attitude?
Mitchell, A. A., & Olson, J. C. (1981) · Journal of Marketing Research · doi:10.2307/3150973 · Cited by 1,472
How advertising works: what do we really know?
Vakratsas, D., & Ambler, T. (1999) · Journal of Marketing · doi:10.1177/002224299906300103 · Cited by 1,436
Development of a Scale to Measure Consumer Skepticism Toward Advertising
Obermiller, C., & Spangenberg, E. R. (1998) · Journal of Consumer Psychology · doi:10.1207/s15327663jcp0702_03 · Cited by 1,037
A Process Model of the Formation of Spatial Presence Experiences
Wirth, W., Hartmann, T., Böcking, S., Vorderer, P., Klimmt, C., Schramm, H., Saari, T., Laarni, J., Ravaja, N., Gouveia, F. R., et al. (2007) · Media Psychology · doi:10.1080/15213260701283079 · Cited by 893
The Role of Theory in Uses and Gratifications Studies
Blumler, J. G. (1979) · Communication Research · doi:10.1177/009365027900600102 · Cited by 904
Information Processing from Advertisements: Toward an Integrative Framework
MacInnis, D. J., & Jaworski, B. J. (1989) · Journal of Marketing · doi:10.1177/002224298905300401 · Cited by 653
Political News in the News Feed: Learning Politics from Social Media
Bode, L. (2016) · Mass Communication and Society · doi:10.1080/15205436.2015.1045149 · Cited by 545
Kalyanaraman, S., & Sundar, S. S. (2006) · Journal of Communication · doi:10.1111/j.1460-2466.2006.00006.x · Cited by 475
How Advertising Works on the WWW: Modified Elaboration Likelihood Model
Cho, C.-H. (1999) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.1999.10505087 · Cited by 281
A THEORY OF TELEVISION PROGRAM CHOICE
WEBSTER, J. G., & WAKSHLAG, J. J. (1983) · Communication Research · doi:10.1177/009365083010004002 · Cited by 197
Touré-Tillery, M., & McGill, A. L. (2015) · Journal of Marketing · doi:10.1509/jm.12.0166 · Cited by 167
Comparative versus Noncomparative Advertising: A Meta-Analysis
Grewal, D., Kavanoor, S., Fern, E. F., Costley, C., & Barnes, J. (1997) · Journal of Marketing · doi:10.1177/002224299706100401 · Cited by 146
Relating the food involvement scale to demographic variables, food choice and other constructs
Marshall, D., & Bell, R. (2004) · Food Quality and Preference · doi:10.1016/j.foodqual.2004.06.003 · Cited by 138
Situational variables in online versus offline channel choice
Chocarro, R., Cortiñas, M., & Villanueva, M.-L. (2013) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2013.03.004 · Cited by 139
Cue-based decision making. A new framework for understanding the uninvolved food consumer
Hamlin, R. P. (2010) · Appetite · doi:10.1016/j.appet.2010.04.007 · Cited by 70
On the Development and Strength of Category–Brand Associations in Memory: The Case of Mystery Ads
Fazio, R. H., Herr, P. M., & Powell, M. C. (1992) · Journal of Consumer Psychology · doi:10.1016/s1057-7408(08)80042-3 · Cited by 60
The dual role of informational social influence: Implications for marketing management
Rosen, D. L., & Olshavsky, R. W. (1987) · Journal of Business Research · doi:10.1016/0148-2963(84)90044-4 · Cited by 42
G., R., & Asokan-Ajitha, A. (2021) · Journal of Indian Business Research · doi:10.1108/jibr-04-2018-0132 · Cited by 30
Metadata
- Authors
- Krugman, H. E.
- Venue
- Public Opinion Quarterly
- Publisher
- Oxford University Press (OUP)
- Published
- 1965
- Volume
- 29
- Issue
- 3
- Pages
- 349
- ISSN
- 0033-362X (ISSN-L)
- OpenAlex
- W2102598266
- Cited by
- 1,544
- References
- 0
- FWCI
- 24.62
- 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
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.
