The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Measuring Consumer Involvement Profiles
Abstract
There is more than one kind of consumer involvement. Depending on the antecedents of involvement (e.g., the product's pleasure value, the product's sign or symbolic value, risk importance, and probability of purchase error), consequences on consumer behavior differ. The authors therefore recommend measuring an involvement profile, rather than a single involvement level. These conclusions are based on an empirical analysis of 14 product categories.
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
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
Hedonic Consumption: Emerging Concepts, Methods and Propositions
Hirschman, E. C., & Holbrook, M. B. (1982) · Journal of Marketing · doi:10.1177/002224298204600314 · Cited by 5,616
Cited by
Pavlou, P. A., Liang, H., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148783 · Cited by 2,646
Consumer perceived risk: conceptualisations and models
Mitchell, V. (1999) · European Journal of Marketing · doi:10.1108/03090569910249229 · Cited by 1,582
A benefit congruency framework of sales promotion effectiveness
Chandon, P., Wansink, B., & Laurent, G. (2000) · Journal of Marketing · doi:10.1509/jmkg.64.4.65.18071 · Cited by 1,518
Self-citationGanesh, J., Arnold, M. J., & Reynolds, K. E. (2000) · Journal of Marketing · doi:10.1509/jmkg.64.3.65.18028 · Cited by 1,305
A Catastrophe Model for Developing Service Satisfaction Strategies
Oliva, T. A., Oliver, R. L., & MacMillan, I. C. (1992) · Journal of Marketing · doi:10.2307/1252298 · Cited by 812
Metadata
- Authors
- Laurent, G., & Kapferer, J.-N.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 1985-02
- Volume
- 22
- Issue
- 1
- Pages
- 41-53
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W2595519040
- Cited by
- 2,240
- References
- 2
- FWCI
- 29.54
- 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.