Journal of Consumer Policy

, Volume 11, Issue 2, pp 131–157 | Cite as

The existence and perception of redundancy in consumer information environments

  • Michael D. Johnson
  • Jerome M. Katrichis
Articles
  • 37 Downloads

Abstract

Two studies are reported which examine the existence of attribute redundancy as well as consumers' ability to perceive attribute redundancy in consumer information environments. The results of the first study suggest that attribute redundancy varies widely from product category to product category. The results of the second study suggest that consumers' ability to perceive attribute relationships improves with product knowledge. Unexpected was an observed U-shaped relationship between consumers' perceptions of attribute redundancy and attribute knowledge. Together the results suggest a number of policy implications regarding the value of consumer information programs.

Keywords

Economic Policy Policy Implication Product Knowledge Product Category Information Environment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Die Existenz und Wahrnehmung von Redundanz in Verbraucherinformationssituationen

Zusammenfassung

Der Beitrag behandelt vor allem die Redundanz, die in Informationen über Produktmerkmale enthalten sein kann. Wenn ein Konsument die Ausprägung eines Produktmerkmales kennt, so bedeutet das bei hoher Merkmalsredundanz, daß er auch die Ausprägung anderer Produktmerkmale kennen kann. Es kann somit eine sehr befriedigende Kaufentscheidung auch bei nur geringer Informationsaktivität zustandekommen.

Berichtet wird über zwei empirische Studien. Die erste Studie sollte die Frage beantworten, in welchem Ausmaß Informationen über Produktmerkmale tatsächlich redundant sind. Die Ergebnisse dieser Studie werden in Tabelle I zusammengefaßt und zeigen insgesamt ein nennenswertes Ausmaß und Redundanz, das allerdings über Produktgruppen hinweg erheblich variiert. Auch innerhalb einzelner Produktgruppen ist das Bild nicht einheitlich.

Die zweite Studie versuchte zu ermitteln, wie gut Konsumenten vorhandene Redundanz wahrnehmen können. Die Erwartung, daß bereits vorhandenes Produktwissen zu einer besseren Wahrnehmung von Redundanz führt, wurde im wesentlichen bestätigt. Die Ergebnisse, die in Tabelle II und in Figur 1 gezeigt werden, sind allerdings komplexer und zeigen insbesondere bei hoher tatsächlicher Redundanz eine U-förmige Beziehung, die nicht erwartet worden war. Abschließend werden einige verbraucherpolitische Implikationen der Ergebnisse diskutiert.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alloy, L. B., & Tabachnik, N. (1984). Assessment of covariation by humans and animals: The joint influence of prior expectations and current situational information. Psychological Review, 91, 112–149.CrossRefGoogle Scholar
  2. Beach, L. E., & Scopp, T. S. (1966). Inferences about correlations. Psychonomic Science, 6, 253–254.Google Scholar
  3. Bettman, J. R. (1979). An information processing theory of consumer choice. Reading, MA: Addison-Wesley.Google Scholar
  4. Bettman, J. R., & Park, C. W. (1980). Effects of prior knowledge and experience and phase of the choice process on consumer decision processes. Journal of Consumer Research, 7, 234–248.CrossRefGoogle Scholar
  5. Bettman, J. R., John, D. R., & Scott, C. A. (1984). Consumers' assessment of covariation. In: T. Kinnear (Ed.), Advances in Consumer Research, Vol. 11, pp. 466–471. Ann Arbor, MI: Association for Consumer Research.Google Scholar
  6. Bettman, J. R., John, D. R., & Scott, C. A. (1986). Covariation assessment by consumers. Journal of Consumer Research, 13, 316–326.CrossRefGoogle Scholar
  7. Brucks, M. (1985). The effects of product class knowledge on information search behavior. Journal of Consumer Research, 12, 1–16.CrossRefGoogle Scholar
  8. Chapman, L. J., & Chapman, J. P. (1967). Genesis of popular but erroneous psychodiagnostic predictions. Journal of Abnormal Psychology, 72, 193–204.Google Scholar
  9. Chapman, L. J., & Chapman, J. P. (1969). Illusory correlation as an obstacle to the use of valid psychodiagnostic signs. Journal of Abnormal Psychology, 74, 271–280.Google Scholar
  10. Consumer Reports (1984). 1985 Buying guide issue. Mount Vernon, NY: Consumers Union.Google Scholar
  11. Crocker, J. (1981). Judgments of covariation by social perceivers. Psychological Bulletin, 90, 272–292.CrossRefGoogle Scholar
  12. Curry, D. J., & Faulds, D. J. (1986). Indexing product quality: Issues, theory, and results. Journal of Consumer Research, 13, 134–145.CrossRefGoogle Scholar
  13. Einhorn, H. J., & Hogarth, R. M. (1978). Confidence in judgment: Persistence of the illusion of validity. Psychological Review, 85, 395–416.CrossRefGoogle Scholar
  14. Einhorn, H. J., & Hogarth, R. M. (1981). Behavioral decision theory: Processes of judgment and choice. Annual Review of Psychology, 32, 53–88.CrossRefGoogle Scholar
  15. Einhorn, H. J., Kleinmuntz, D. N., & Kleinmuntz, B. (1979). Linear regression and process-tracing models of judgment. Psychological Review, 86, 465–485.CrossRefGoogle Scholar
  16. Erlick, D. E. (1966). Human estimates of statistical relatedness. Psychonomic Science, 5, 365–366.Google Scholar
  17. Erlick, D. E., & Mills, R. G. (1967). Perceptual quantifications of conditional dependency. Journal of Experimental Psychology, 73, 9–14.Google Scholar
  18. Fornell, C., & Westbrook, R. A. (1984). The vicious circle of consumer complaints. Journal of Marketing, 48 (3), 68–78.Google Scholar
  19. Geistfeld, L. V. (1982). The price-quality relationship — revisited. Journal of Consumer Affairs, 16, 334–346.Google Scholar
  20. Gerstner, E. (1985). Do higher prices signal higher quality? Journal of Marketing Research, 22, 209–215.Google Scholar
  21. Golding, S. L., & Rorer, L. G. (1972). Illusory correlation and subjective judgment. Journal of Abnormal Psychology, 80, 249–260.Google Scholar
  22. Hagerty, M. R., & Aaker, D. A. (1984). A normative model of consumer information processing. Marketing Science, 3, 227–246.Google Scholar
  23. Hjorth-Andersen, C. (1984). The concept of quality and the efficiency of markets for consumer products. Journal of Consumer Research, 11, 708–718.CrossRefGoogle Scholar
  24. Howard, J. (1977). Consumer behavior: Application of theory. New York, NY: McGraw-Hill.Google Scholar
  25. Jenkins, H. M., & Ward, W. C. (1965). Judgment of contingency between responses and outcomes. Psychological Monographs, 79.Google Scholar
  26. John, D. R., Scott, C. A., & Bettman, J. R. (1986). Sampling data for covariation assessment: The effects of prior beliefs on search patterns. Journal of Consumer Research, 13, 38–47.CrossRefGoogle Scholar
  27. Johnson, E. J., & Russo, J. E. (1984). Product familiarity and learning new information. Journal of Consumer Research, 11, 542–550.CrossRefGoogle Scholar
  28. Johnson, M. D. (1984). Consumer choice strategies for comparing noncomparable alternatives. Journal of Consumer Research, 11, 741–753.CrossRefGoogle Scholar
  29. Manis, M., & Platt, M. B. (1975). Integrating verbal information: The referential communication paradigm. In: M. Kaplan & S. Schwartz (Eds.), Human Judgment and Decision Processes, pp. 173–200. New York: Academic Press.Google Scholar
  30. Matlin, M. W., & Stang, D. J. (1978). The Pollyanna principle: Selectivity in language, memory, and thought. Cambridge, MA: Schenkman.Google Scholar
  31. Monroe, K. B. (1973). Buyers' subjective perceptions of price. Journal of Marketing Research, 10, 70–80.Google Scholar
  32. Morris, R. T., & Bronson, C. S. (1969). The chaos in competition indicated by Consumer Reports. Journal of Marketing, 33 (3), 26–43.Google Scholar
  33. Neter, J., & Wasserman, W. (1974). Applied linear statistical models. Homewood, IL: Irwin.Google Scholar
  34. Park, C. W., & Lessig, V. P. (1981). Familiarity and its impact on consumer decision biases and heuristics. Journal of Consumer Research, 8, 223–230.CrossRefGoogle Scholar
  35. Peterson, C., & Beach, L. R. (1967). Man as an intuitive statistician. Psychological Bulletin, 68, 29–46.Google Scholar
  36. Riesz, P. C. (1978). Price versus quality in the marketplace, 1961–1975. Journal of Retailing, 54 (4), 15–28.Google Scholar
  37. Riesz, P. C. (1979). Price-quality correlations for packaged food products. Journal of Consumer Affairs, 13, 236–247.Google Scholar
  38. Schneider, D. J. (1973). Implicit personality theory: A review. Psychological Bulletin, 79, 294–309.Google Scholar
  39. Smedslund, J. (1963). The concept of correlation in adults. Scandinavian Journal of Psychology, 4, 165–173.Google Scholar
  40. Sujan, M. (1985). Consumer knowledge: Effects on evaluation strategies mediating consumer judgments. Journal of Consumer Research, 12, 31–46.CrossRefGoogle Scholar
  41. Wason, P. C., & Johnson-Laird, P. N. (1972). Psychology of reasoning: Structure and content. London: Batsford.Google Scholar
  42. Yamada, Y., & Ackerman, N. (1984). Price-quality correlations in the Japanese market. Journal of Consumer Affairs, 18, 251–265.Google Scholar

Copyright information

© Kluwer Academic Publishers 1988

Authors and Affiliations

  • Michael D. Johnson
  • Jerome M. Katrichis

There are no affiliations available

Personalised recommendations