The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A multi‐method investigation of consumer motivations in impulse buying behavior
Abstract
This study used both qualitative and quantitative data to test hypotheses related to consumers’ motivations to engage in impulse buying. A grounded theory approach was used to develop hypotheses from in‐depth interviews. These hypotheses were tested by the collection and analysis of survey data. Data support the theory that impulse buying is a common method of product selection, in part, because the shopping act and impulsive product selection provide hedonic rewards. Further information‐processing overload confounds product selection, reinforcing the rewards to be obtained from alternative section heuristics, like impulse buying.
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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
Telling more than we can know: Verbal reports on mental processes.
Nisbett, R. E., & Wilson, T. D. (1977) · Psychological Review · doi:10.1037/0033-295x.84.3.231 · Cited by 11,317
Specious reward: A behavioral theory of impulsiveness and impulse control.
Ainslie, G. (1975) · Psychological Bulletin · doi:10.1037/h0076860 · Cited by 2,708
The significance of impulse buying today.
Stern, H. (1962) · Journal of Marketing · doi:10.1177/002224296202600212 · Cited by 1,049
Research works printed but not linked: 25
- Baron, J. (1994), Thinking and Deciding, 2nd ed., Cambridge University Press, Cambridge, MA.
- Bellenger, D.N., Robertson, D.H. and Hirschman, E.C. (1978), “Impulse buying varies by product”, Journal of Advertising Research, Vol. 18, pp. 15‐18.
- Bettman, J.R., Johnson, E.J. and Payne, J.W. (1991), “Consumer decision making”, Handbook of Consumer Behavior, pp. 50‐84.
- Boone, L.E. and Kurtz, D.L. (1995), Contemporary Marketing, 8th ed., Dryden Press, Orlando, FL.
- Cobb, C.J. and Hoyer, W.D. (1986), “Planned versus impulse purchase behavior”, Journal of Retailing, Vol. 62 No. 4, pp. 384‐409.
- Darden, W.R. and Ashton, D. (1975), “Psychographic profiles of patronage preference groups”, Journal of Retailing, Vol. 50, Winter, pp. 99‐112.
- Farber, R.J. and O’Guinn, T.C. (1988), “Compulsive consumption and credit abuse”, Journal of Consumer Policy, March, pp. 97‐109.
- Han, Y.K., Morgan, G.A., Kotsiopulos, A. and Kang‐Park, J. (1991), “Impulse buying behavior of apparel purchasers”, Clothing and Textile Research Journal, Vol. 9 No. 3, pp. 15‐21.
- Herbig, P. and Kramer, H. (1994), “The effect of information overload on the innovation choice”, Journal of Consumer Marketing, Vol. 11 No. 2, pp. 45‐55.
- Hirschman, E.C. (1980), “Innovativeness, novelty seeking, and consumer creativity”, Journal of Consumer Research, Vol. 7 December, pp. 283‐95.
- Holbrook, M.B. and Hirschman, E.C. (1982), “The experiential aspects of consumption: consumer fantasies, feelings, and fun”, Journal of Consumer Research, No. 9, September, pp. 132‐40.
- Houston, M.J., Childers, T.L. and Heckler, S.E. (1987), “Picture‐work consistency and elaborative processing of advertisements”, Journal of Marketing Research, No. 24, November, pp. 359‐74.
- Johnson‐Laird, P.N. (1988), “A taxonomy of thinking”, in Sternberg, R.J. and Smith, E.E. (Eds), The Psychology of Human Thought, Cambridge University Press, Cambridge, MA, pp. 429‐57.
- Kollat, D.T. and Willett, R.P. (1967), “Consumer impulse purchasing behavior”, Journal of Marketing Research, Vol. 4, February, pp. 21‐31.
- Levy, M. (1976), “Deferred gratification and social class”, The Journal of Social Psychology, Vol. 100, pp. 123‐35.
- McDonald, W.J. (1996), “Influences on the adoption of global marketing decision support systems: a management perspective”, International Marketing Review, Vol. 13 No. 1, pp. 33‐45.
- Piron, F. (1991), “Defining impulse purchasing”, Advances in Consumer Research, Vol. 18, pp. 509‐13.
- Rook, D.W. (1987), “The buying impulse”, Journal of Consumer Research, Vol. 14, pp. 189‐99.
- Rook, D.W. and Fisher, R.J. (1995), “Trait and normative aspects of impulsive buying behavior”, Journal of Consumer Research, Vol. 22 No. 3, pp. 305‐13.
- Rook, D.W. and Hoch, S.J. (1985), “Consuming impulses”, Advances in Consumer Research, Vol. 12, pp. 23‐7. · DOI
- Solnick, J.V., Kannenberg, C.H., Eckerman, D.A. and Waller, M.B. (1980), “An experimental analysis of impulsivity and impulse control in humans”, Learning and Motivation, Vol. 11, pp. 61‐77.
- Sujan, M. (1985), “Consumer knowledge: effects on evaluation strategies mediating consumer judgments”, Journal of Consumer Behavior, Vol. 12, pp. 31‐46.
- Thompson, C.J., Locander, W.B. and Pollio, H.R. (1990), “The lived meaning of free choice: an existential‐phenomenological description of everyday consumer experiences of contemporary married women”, Journal of Consumer Research, Vol. 17 No. 3, pp. 346‐61.
- Unger, L. (1981), “Consumer marketing trends in the 1980s: when growth slows”, Journal of Consumer Research, Vol. 9 No. 2, pp. 69‐73.
- Weinberg, P. and Gottwald, W. (1982), “Impulsive consumer buying as a result of emotions”, Journal of Business Research, Vol. 10, pp. 43‐57.
Cited by
Ling, K. C., Chai, L. T., & Piew, T. H. (2010) · International Business Research · doi:10.5539/ibr.v3n3p63 · Cited by 622
Liu, Y., Li, H., & Hu, F. (2013) · Decision Support Systems · doi:10.1016/j.dss.2013.04.001 · Cited by 541
Rintamäki, T., Kanto, A., Kuusela, H., & Spence, M. T. (2006) · International Journal of Retail & Distribution Management · doi:10.1108/09590550610642792 · Cited by 517
University of Massachusetts Amherst, Wells, J., Parboteeah, V., Eastern New Mexico University, Valacich, J., & Washington State University (2011) · Journal of the Association for Information Systems · doi:10.17705/1jais.00254 · Cited by 398
Gender differences in brand commitment, impulse buying, and hedonic consumption
Tifferet, S., & Herstein, R. (2012) · Journal of Product & Brand Management · doi:10.1108/10610421211228793 · Cited by 257
Metadata
- Authors
- Hausman, A.
- Venue
- Journal of Consumer Marketing
- Publisher
- Emerald
- Published
- 2000-09-01
- Volume
- 17
- Issue
- 5
- Pages
- 403-426
- ISSN
- 0736-3761 (ISSN-L)
- OpenAlex
- W2051753763
- Cited by
- 844
- References
- 4
- FWCI
- 15.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.emerald.com/insight/site-policies (tdm)
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