The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Role of Optimum Stimulation Level in Exploratory Consumer Behavior
Open accessAbstract
This study examines the role of optimum stimulation level (OSL) in exploratory consumer behavior. The concept of OSL and its measurement are discussed, and the literature on exploratory consumer tendencies and their relationship with OSL is reviewed. Hypotheses are developed concerning the relationship between OSL and cognitive responses to ads, ad repetition, information search, variety seeking, decision making under risk, gambling, and innovative behavior, and these hypotheses are investigated in a series of experiments. Four well-known instruments are used to measure people's characteristic preference for stimulation, and OSL is operationalized as a weighted composite of a person's score on these scales. The results of the study indicate that consumers' OSL is systematically related to curiosity-motivated consumer behaviors, variety seeking, and risk taking.
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 social-cognitive approach to motivation and personality.
Dweck, C. S., & Leggett, E. L. (1988) · Psychological Review · doi:10.1037/0033-295x.95.2.256 · Cited by 9,745
Innovativeness: The Concept and Its Measurement
Midgley, D. F., & Dowling, G. R. (1978) · Journal of Consumer Research · doi:10.1086/208701 · Cited by 1,550
The Role of Price in Multi-Attribute Product Evaluations
Erickson, G. M., & Johansson, J. K. (1985) · Journal of Consumer Research · doi:10.1086/208508 · Cited by 412
Cited by
Consumers' Need for Uniqueness: Scale Development and Validation
Tian, K. T., Bearden, W. O., & Hunter, G. L. (2001) · Journal of Consumer Research · doi:10.1086/321947 · Cited by 1,791
Steenkamp, J.-B. E. M., ter Hofstede, F., & Wedel, M. (1999) · Journal of Marketing · doi:10.2307/1251945 · Cited by 1,282
Self-citationMultichannel Shopper Segments and Their Covariates☆
KONUS, U., VERHOEF, P., & NESLIN, S. (2008) · Journal of Retailing · doi:10.1016/j.jretai.2008.09.002 · Cited by 577
Toward Meaningful Engagement: A Framework for Design and Research of Gamified Information Systems1
Liu, D., Santhanam, R., & Webster, J. (2017) · MIS Quarterly · doi:10.25300/misq/2017/41.4.01 · Cited by 521
A cross-cultural study of switching barriers and propensity to stay with service providers
Patterson, P. G., & Smith, T. (2003) · Journal of Retailing · doi:10.1016/s0022-4359(03)00009-5 · Cited by 515
van Herpen, E., van den Broek, E., van Trijp, H. C. M., & Yu, T. (2016) · Appetite · doi:10.1016/j.appet.2016.07.033 · Cited by 177
Magni, M., Susan Taylor, M., & Venkatesh, V. (2010) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2010.03.004 · Cited by 173
Customer restaurant choice: An empirical analysis of restaurant types and eating-out occasions
Chua, B.-L., Karim, S., Lee, S., & Han, H. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17176276 · Cited by 108
Effects of interruptions on consumer online decision processes
Xia, L., & Sudharshan, D. (2002) · Journal of Consumer Psychology · doi:10.1207/s15327663jcp1203_08 · Cited by 98
Szocs, C., Kim, Y., Lim, M., Mera, C. A., & Biswas, D. (2023) · Journal of Retailing · doi:10.1016/j.jretai.2023.11.005 · Cited by 70
Motivations and relationship outcomes: The mediating role of trust and satisfaction
Swanson, S. R., Davis, J. C., & Zhao, Y. (2007) · Journal of Nonprofit & Public Sector Marketing · doi:10.1300/j054v18n02_01 · Cited by 52
Nystrand, B. T., & Olsen, S. O. (2021) · Journal of Functional Foods · doi:10.1016/j.jff.2021.104736 · Cited by 28
The evolving consumer IoT: A novel framework for marketing strategy based on assemblage theory
Hoffman, D. L., & Novak, T. P. (2025) · Journal of Product Innovation Management · doi:10.1111/jpim.12767 · Cited by 6
Metadata
- Authors
- Steenkamp, J.-B. E. M., & Baumgartner, H.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1992-12
- Volume
- 19
- Issue
- 3
- Pages
- 434
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2128888925
- Cited by
- 725
- References
- 3
- FWCI
- 4.88
- 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
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.
