Beyond Attitude Structure: Toward the Informational Determinants of Attitude
Abstract
The author argues that marketing research has focused too narrowly on the static structure of attitude at the expense of its informational determinants. An experimental study investigates the effects of one fundamental dimension of advertising content on the components of attitude structure. Specifically, the results suggest that the factualness/evaluativeness of a persuasive message exerts a positive effect on those beliefs considered most important; that these beliefs in turn determine affect; and that these effects of communication on attitude components are mediated by a set of intervening cognitive reactions, such as perceived message credibility. These findings suggest implications for marketing decisions, public policy, and the future course of attitude research in marketing.
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The impact of claim specificity on claim credibility is similar to that of objective (rather than subjective) information and of substantive (rather than associative) claims.
“Whilst independent and distinct, the impact of claim specificity on claim credibility is similar to that of objective (rather than subjective) information (Ford, Smith and Swasy, 1990; Holbrook, 1978), and of substantive (rather than associative) claims (Chan, 2000; Chan and Lau, 2004).”
From How Claim Specificity Can Improve Claim Credibility in Green Advertising (2018) · cites this paper as Holbrook, 1978
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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 · see citing works
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 · see citing works
Consumer Skepticism of Advertising Claims: Testing Hypotheses from Economics of Information
Ford, G. T., Smith, D. B., & Swasy, J. L. (1990) · Journal of Consumer Research · doi:10.1086/209228 · Cited by 481 · see citing works
Credibility: A multidisciplinary framework
Rieh, S. Y., & Danielson, D. R. (2007) · Annual Review of Information Science and Technology · doi:10.1002/aris.2007.1440410114 · Cited by 336 · see citing works
Rhee, E. S., & Jung, W. S. (2019) · Journal of Marketing Communications · doi:10.1080/13527266.2018.1461124 · Cited by 80 · see citing works
How Claim Specificity Can Improve Claim Credibility in Green Advertising
Ganz, B., & Grimes, A. (2018) · Journal of Advertising Research · doi:10.2501/jar-2018-001 · Cited by 61 · see citing works
Online reviews and product sales: the role of review visibility
Alzate, M., Arce-Urriza, M., & Cebollada, J. (2021) · Journal of Theoretical and Applied Electronic Commerce Research · doi:10.3390/jtaer16040038 · Cited by 45 · see citing works
Designing for Future Behaviors: Understanding the Effect of Temporal Distance on Planned Behaviors
Suh, M. (., & Hsieh, G. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858591 · Cited by 16 · see citing works
- Authors
- Holbrook, M. B.
- Venue
- Journal of Marketing Research
- Publisher
- JSTOR
- Published
- 1978-11
- Volume
- 15
- Issue
- 4
- Pages
- 545
- ISSN
- 0022-2437
- Cited by
- 136
- References
- 0
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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.
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