The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Variety for sale: Mass customization or mass confusion?
Open accessAbstract
Retailers who implement a high variety strategy need to ensure that customers are not confused with the complexity inherent in a wide assortment of options. Experimental evidence shows that when asking consumers to choose among items in a wide assortment, both the way the information is presented and the type of customer input to the information gathering process influence customer satisfaction. First, asking consumers to indicate their within-attribute preferences through an attribute-based information format, as opposed to an alternative-based format, increases satisfaction and learning. Second, consumers are likely to be more satisfied and perceive less complexity in the choice set when they are asked to explicitly indicate their preferences within each attribute, as compared to more effortful tasks or less effortful tasks.
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Cites
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
Chase, W. G., & Simon, H. A. (1973) · Cognitive Psychology · doi:10.1016/0010-0285(73)90004-2 · Cited by 4,479
Elimination by aspects: A theory of choice
Tversky, A. (1972) · Psychological Review · doi:10.1037/h0032955 · Cited by 3,365
Bettman, J. R., & Park, C. W. (1980) · Journal of Consumer Research · doi:10.1086/208812 · Cited by 1,344
Information Load and Consumer Decision Making
Malhotra, N. K. (1982) · Journal of Consumer Research · doi:10.1086/208882 · Cited by 778
Cited by
Customer experience creation: Determinants, dynamics and management strategies
Verhoef, P. C., Lemon, K. N., Parasuraman, A., Roggeveen, A., Tsiros, M., & Schlesinger, L. A. (2009) · Journal of Retailing · doi:10.1016/j.jretai.2008.11.001 · Cited by 3,140
Can There Ever Be Too Many Options? A Meta-Analytic Review of Choice Overload
Scheibehenne, B., Greifeneder, R., & Todd, P. M. (2010) · Journal of Consumer Research · doi:10.1086/651235 · Cited by 1,070
Vohs, K. D., Baumeister, R. F., Schmeichel, B. J., Twenge, J. M., Nelson, N. M., & Tice, D. M. (2008) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.94.5.883 · Cited by 929
Choice overload: A conceptual review and meta-analysis
Chernev, A., Böckenholt, U., & Goodman, J. (2015) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2014.08.002 · Cited by 858
Intelligent systems in tourism
Gretzel, U. (2011) · Annals of Tourism Research · doi:10.1016/j.annals.2011.04.014 · Cited by 468
Metadata
- Authors
- Huffman, C., & Kahn, B. E.
- Venue
- Journal of Retailing
- Publisher
- Elsevier BV
- Published
- 1998
- Volume
- 74
- Issue
- 4
- Pages
- 491-513
- ISSN
- 0022-4359 (ISSN-L)
- OpenAlex
- W1986070354
- Cited by
- 894
- References
- 6
- FWCI
- 20.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.