The DOI matches its Crossref record.
Optimum Stimulation Level: Its Relationship to Personality, Demographics, and Exploratory Behavior
Abstract
Two studies are reported that examine the relationships between optimum stimulation level (OSL), selected personality traits, demographic variables, and exploratory behavior in the consumer context. The results show several significant correlations between OSL and the other variables examined. Research and managerial implications of the results are outlined.
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 Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun
Holbrook, M. B., & Hirschman, E. C. (1982) · Journal of Consumer Research · doi:10.1086/208906 · Cited by 8,275
Rook, D. W. (1987) · Journal of Consumer Research · doi:10.1086/209105 · Cited by 2,110
The use of lisrel in validating marketing constructs
Steenkamp, J.-B. E. M., & van Trijp, H. C. M. (1991) · International Journal of Research in Marketing · doi:10.1016/0167-8116(91)90027-5 · Cited by 1,848
Ganesh, J., Arnold, M. J., & Reynolds, K. E. (2000) · Journal of Marketing · doi:10.1509/jmkg.64.3.65.18028 · Cited by 1,305
Steenkamp, J.-B. E. M., ter Hofstede, F., & Wedel, M. (1999) · Journal of Marketing · doi:10.2307/1251945 · Cited by 1,282
Lichtenstein, D. R., Netemeyer, R. G., & Burton, S. (1990) · Journal of Marketing · doi:10.1177/002224299005400305 · Cited by 1,054
Perceived risk: The concept and its measurement
Dowling, G. R. (1986) · Psychology & Marketing · doi:10.1002/mar.4220030307 · Cited by 551
Face consciousness and risk aversion: Do they affect consumer decision‐making?
Bao, Y., Zhou, K. Z., & Su, C. (2003) · Psychology & Marketing · doi:10.1002/mar.10094 · Cited by 419
Does attitudinal loyalty influence behavioral loyalty? A theoretical and empirical study
Bandyopadhyay, S., & Martell, M. (2007) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2006.03.002 · Cited by 402
Assessing Three Sources of Misresponse to Reversed Likert Items
Swain, S. D., Weathers, D., & Niedrich, R. W. (2008) · Journal of Marketing Research · doi:10.1509/jmkr.45.1.116 · Cited by 386
The Customer Economics of Internet Privacy
Rust, R. T., Kannan, P. K., & Peng, N. (2002) · Journal of the Academy of Marketing Science · doi:10.1177/009207002236917 · Cited by 246
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
Pleasure or utility? Time planning style and Web usage behaviors
Cotte, J., Chowdhury, T. G., Ratneshwar, S., & Ricci, L. M. (2006) · Journal of Interactive Marketing · doi:10.1002/dir.20055 · Cited by 140
Multi-dimensional analysis of perceived switching costs
Barroso, C., & Picón, A. (2012) · Industrial Marketing Management · doi:10.1016/j.indmarman.2011.06.020 · Cited by 122
Fraudulent Return Proclivity: An Empirical Analysis
HARRIS, L. (2008) · Journal of Retailing · doi:10.1016/j.jretai.2008.09.003 · Cited by 116
Does variety seeking vary between hedonic and utilitarian products? The role of attribute type
Baltas, G., Kokkinaki, F., & Loukopoulou, A. (2017) · Journal of Consumer Behaviour · doi:10.1002/cb.1649 · Cited by 115
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
Intentions to purchase food through the internet: developing and testing a model
Quevedo-Silva, F., Freire, O., Lima-Filho, D. D. O., Brandão, M. M., Isabella, G., & Moreira, L. B. (2016) · British Food Journal · doi:10.1108/bfj-09-2015-0305 · Cited by 68
Long-term acceptability and choice of teas differing in sweetness
Chung, S.-J., & Vickers, Z. (2007) · Food Quality and Preference · doi:10.1016/j.foodqual.2007.03.011 · Cited by 40
Metadata
- Authors
- Raju, P. S.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1980-12
- Volume
- 7
- Issue
- 3
- Pages
- 272
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2097609137
- Cited by
- 959
- References
- 0
- FWCI
- 11.85
- 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.