The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Managing What Consumers Learn from Experience
Abstract
The authors argue that what consumers learn from the experience of using products is not a simple matter of discovering objective truth. They frame the problem of learning from experience as a four-stage process (hypothesizing—exposure—encoding—integration) with three moderating factors (familiarity with the domain, motivation to learn, and the ambiguity of the information environment). The framework is used to identify where learning from product consumption experience is most open to managerial influence. The authors discuss strategic tools for managing experiential learning and consider applications to the simulation of learning in concept and pre-test-market product testing.
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Cites
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
Judgment under Uncertainty: Heuristics and Biases
(1982) · doi:10.1017/cbo9780511809477 · Cited by 8,240
Lord, C. G., Ross, L., & Lepper, M. R. (1979) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.37.11.2098 · Cited by 4,583
Free competition and the optimal amount of fraud
Darby, M. R., & Karni, E. (1973) · The Journal of Law and Economics · doi:10.1086/466756 · Cited by 3,947
Elimination by aspects: A theory of choice
Tversky, A. (1972) · Psychological Review · doi:10.1037/h0032955 · Cited by 3,365
Belief in the law of small numbers.
Tversky, A., & Kahneman, D. (1971) · Psychological Bulletin · doi:10.1037/h0031322 · Cited by 3,246
Blind variation and selective retentions in creative thought as in other knowledge processes
Campbell, D. T. (1960) · Psychological Review · doi:10.1037/h0040373 · Cited by 2,329
Confirmation, disconfirmation, and information in hypothesis testing
Klayman, J., & Ha, Y.-W. (1987) · Psychological Review · doi:10.1037/0033-295x.94.2.211 · Cited by 2,094
The totalitarian ego: Fabrication and revision of personal history.
Greenwald, A. G. (1980) · American Psychologist · doi:10.1037/0003-066x.35.7.603 · Cited by 1,942
Alba, J. W., & Hasher, L. (1983) · Psychological Bulletin · doi:10.1037/0033-2909.93.2.203 · Cited by 1,169
Cited by
Herr, P. M., Kardes, F. R., & Kim, J. (1991) · Journal of Consumer Research · doi:10.1086/208570 · Cited by 2,142
Determinants of Chinese consumers' green purchase behavior
Chan, R. Y. K. (2001) · Psychology & Marketing · doi:10.1002/mar.1013 · Cited by 1,220
Ha, H.-Y., & Perks, H. (2005) · Journal of Consumer Behaviour · doi:10.1002/cb.29 · Cited by 750
Kim, J.-H. (2018) · Journal of Travel Research · doi:10.1177/0047287517721369 · Cited by 679
JIANG, Z., & BENBASAT, I. (2004) · Journal of Management Information Systems · doi:10.1080/07421222.2004.11045817 · Cited by 606
Wood, S. L. (2001) · Journal of Marketing Research · doi:10.1509/jmkr.38.2.157.18847 · Cited by 434
Choice goal attainment and decision and consumption satisfaction
Heitmann, M., Lehmann, D. R., & Herrmann, A. (2007) · Journal of Marketing Research · doi:10.1509/jmkr.44.2.234 · Cited by 371
Loebnitz, N., Schuitema, G., & Grunert, K. G. (2015) · Psychology & Marketing · doi:10.1002/mar.20788 · Cited by 216
Emotions elicited by local food consumption, memories, place attachment and behavioural intentions
Sthapit, E., Björk, P., & Coudounaris, D. N. (2017) · Anatolia · doi:10.1080/13032917.2017.1322111 · Cited by 167
Deception by Implication: A Typology of Truthful but Misleading Advertising and Labeling Claims
Hastak, M., & Mazis, M. B. (2011) · Journal of Public Policy & Marketing · doi:10.1509/jppm.30.2.157 · Cited by 122
Mehta, N., Chen, X. (., & Narasimhan, O. (2008) · Marketing Science · doi:10.1287/mksc.1070.0310 · Cited by 107
Design and Validation of an Instrument for Measuring Advertising Effectiveness in the Printed Media
Beerli, A., & Santana, J. D. M. (1999) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.1999.10505092 · Cited by 93
Rhee, E. S., & Jung, W. S. (2019) · Journal of Marketing Communications · doi:10.1080/13527266.2018.1461124 · Cited by 80
Understanding the role of computer-mediated counter-argument in countering confirmation bias
Huang, H.-H., Hsu, J. S.-C., & Ku, C.-Y. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.03.009 · Cited by 58
Hochstein, R. E., Harmeling, C. M., & Perko, T. (2025) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-023-00982-y · Cited by 45
The challenge of retaining customers acquired with free trials
Datta, H., Foubert, B., & Van Heerde, H. J. (2015) · Journal of Marketing Research · doi:10.1509/jmr.12.0160 · Cited by 22
Wang, W.-T., & Lu, C.-C. (2014) · Journal of Organizational Computing and Electronic Commerce · doi:10.1080/10919392.2014.866501 · Cited by 19
Metadata
- Authors
- Hoch, S. J., & Deighton, J.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 1989-04
- Volume
- 53
- Issue
- 2
- Pages
- 1-20
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2314333710
- Cited by
- 1,110
- References
- 14
- FWCI
- 51.34
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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