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An Extended Model of Consumer Knowledge Assessment: A Cross-National Study

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Global Perspectives in Marketing for the 21st Century

Abstract

This study extends Park et al.’s (1994) model of Consumer Knowledge Assessment to the previously unexamined antecedent of needfor- cognition. The cross-national applicability of the extended model of Consumer Knowledge Assessment was tested further with student samples drawn from Turkey and New Zealand. The findings of this study confirmed the results of the Park et al.’s (1994) study. It was also found that the level of self-assessed knowledge was significantly related to need-for-cognition, as hypothesized.

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References

  • Alba, J.W. and J.W. Hutchinson. 1987. “Dimensions of Consumer Expertise,” Journal of Consumer Research. 13, (March): 411-454.

    Article  Google Scholar 

  • Anderson, J.C. and D.W. Gerbing. 1988. “Structural Equation Modeling in Practice: A Review and Recommended Two Step Approach,” Psychological Bulletin. 103, (3): 411-423.

    Article  Google Scholar 

  • Baumgartner, H., M. Sujan, and J.R. Bettman. 1992. “Autobiographical Memories, Affect, and Consumer Information Processing.” Journal of Consumer Psychology, 1, (1): 53-82.

    Article  Google Scholar 

  • Bettman, J.R. and C.W. Park. 1980. “Effects of Prior Knowledge and Experience and Phase of the Choice Process on Consumer Decision Processes: A Protocol Analysis,” Journal of Consumer Research, 7, (December): 234-248.

    Article  Google Scholar 

  • Biswas, A. and E.A. Blair. 1991. “Contextual Effects of Reference Prices in Retail Advertisements,” Journal of Marketing, 55, (July): 1-12.

    Article  Google Scholar 

  • Brislin, R., W.J. Lonner, and A.M. Thorndike. 1973. Cross-Cultural Research Methods New York: Wiley.

    Google Scholar 

  • Brucks, M. 1985. “The Effects of Product Class Knowledge on Information Search Behavior,” Journal of Consumer Research. 12, (June): 1-16.

    Article  Google Scholar 

  • Brucks, M. 1986. “A Typology of Consumer Knowledge Content,” In Advances in Consumer Research. Ed. R. J. Lutz. UT: Association for Consumer Research, 58-63.

    Google Scholar 

  • Cacioppo, J.T. and R.E. Petty. 1982. “The Need-for-Cognition,” Journal of Personality and Social Psychology, 42, (1): 116-131.

    Article  Google Scholar 

  • Cacioppo, J.T., R.E. Petty, and C.F. Kao. 1984. “The Efficient Assessment of Need-forCognition,” Journal of Personality Assessment, 48, (June): 306-307.

    Article  Google Scholar 

  • Calder, B., L.W. Phillips, and A. Tybout. 1981. “Designing Research for Application,” Journal of Consumer Research. 8, (September): 197-207.

    Article  Google Scholar 

  • Chang, T. and A. R. Wildt. 1994. “Price, Product Information, and Purchase Intention: An Empirical Study,” Journal of the Academy of Marketing Science. 22, (Winter): 16-27.

    Article  Google Scholar 

  • Childers, T.L., M.J. Houston, and S.E. Heckler. 1985. “Measurement of Individual Differences in Visual versus Verbal Information Processing,” Journal of Consumer Research, 12, (September): 125-134.

    Article  Google Scholar 

  • Cohen, A.A., E. Stotland, and D.M. Wolfe. 1955. “An Experimental Investigation of Need-forCognition,” Journal of Abnormal and Social Psychology, 51: 291-294.

    Article  Google Scholar 

  • Cox, D.F. 1967. Risk Taking and Information Handling in Consumer Behavior. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Darley, W.K. 1992. “The Role of Need-forCognition in Media Evaluation and Usage,” Journal of Promotion Management. 1, (3): 21-37.

    Article  Google Scholar 

  • Darley, W.K. and D.M. Johnson. 1993. “CrossNational Comparison of Consumer Attitudes Toward Consumerism in Four Developing Countries,” The Journal of Consumer Affairs. 27, (1): 37-54.

    Article  Google Scholar 

  • Dawar, N. and P. Parker. 1994. “Marketing Universals: Consumers’ Use of Brand Name, Price, Physical Appearance, and Retailer Reputation as Signals of Product Quality,” Journal of Marketing, 58, (April): 81-95.

    Article  Google Scholar 

  • DeNisi, A.S. and J.S. Shaw. 1977. “Investigation of the Uses of Self-Reports of Abilities,” Journal of Applied Psychology, 62, (October): 641-644.

    Article  Google Scholar 

  • Durvasula, S., S. Lysonski, J.C. Andrews, and R.G. Netemeyer. 1993. “Assessing the Cross-National Applicability of Consumer Behavior Models: A Model of Attitude Toward Advertising in General,” Journal of Consumer Research, 19, (March): 626-636.

    Article  Google Scholar 

  • Fazio, R. H. and M.P. Zanna. 1981. “Direct Experience and Attitude-Behavior Consistency,” In Advances in Experimental Social Psychology. Ed. L. Berkowitz. New York: Academic Press, 161-202.

    Google Scholar 

  • Farnell, C. and D.F. Larcker. 1981. “Evaluating Structural Equation Models with Unobservable Variables and Measurement Errors,” Journal of Marketing Research, 18, (February): 39-50.

    Article  Google Scholar 

  • Gerbing, D.W. and J.C. Anderson. 1988. “An Updated Paradigm for Scale Development Incorporating Unidimensionality and Its Assessment,” Journal of Marketing Research. 25, (May): 186-192.

    Article  Google Scholar 

  • Hong, S. and R.S. Wyer, Jr. 1989. “Effects of Country-of-Origin and Product Attribute Information on Product Evaluation: An Information Processing Perspective,” Journal of Consumer Research. 16, (September): 175-187.

    Article  Google Scholar 

  • Johnson, E.J. and J.E. Russo. 1984. “Product Familiarity and Learning New Information,” Journal of Consumer Research, 11, (June): 542-550.

    Article  Google Scholar 

  • Kanwar, R., L. Grund, and J.C. Olson. 1990. “When Do the Measures of Knowledge Measure What We Think They Are Measuring?” In Advances in Consumer Research. Eds. M. Goldberg et al. Provo, UT: Association for Consumer Research, 603-608.

    Google Scholar 

  • Macinnis, D.J. and L.L. Price. 1987. “The Role of Imagery in Information Processing: Review and Extensions,” Journal of Consumer Research, 13, (March): 473-491.

    Article  Google Scholar 

  • Netemeyer, R.G., S. Durvasula, and D.R. Lichtenstein. 1991. “A Cross-National Assessment of the Reliability and Validity of the CETSCALE,” Journal of Marketing Research, 28, (August): 320-327.

    Article  Google Scholar 

  • Nisbett, R. and L. Ross. 1980. Human Inference: Strategies and Shortcomings of Social Judgment. New York: Prentice Hall.

    Google Scholar 

  • Park, C.W., D.L. Mothersbaugh, and L. Feick. 1994. “Consumer Knowledge Assessment,” Journal of Consumer Research. 21, (June): 71-82.

    Article  Google Scholar 

  • Park, C.W., M.P. Gardner, and V.K. Thukral. 1988. “Self-Perceived Knowledge: Some Effects on Information Processing for a Choice Task,” American Journal of Psychology, 101: 401-424.

    Article  Google Scholar 

  • Park, C.W. and V.P. Lessig. 1981. “Familiarity and Its Impact on Consumer Decision Biases and Heuristics,” Journal of Consumer Research, 8, (September): 223-230.

    Article  Google Scholar 

  • Punj, G. And R. Staelin. 1983. “A Model of Consumer Information Search Behavior for New Automobiles,” Journal of Consumer Research. 9, (March): 366-380.

    Article  Google Scholar 

  • Rao, A.R. and W.A. Sieben. 1992. “The Effect of Prior Knowledge Price Acceptability and the Type of Information Examined,” Journal of Consumer Research, 19: 256-270.

    Article  Google Scholar 

  • Raju, P.S., S.C. Lonial, and W.G. Mangold. 1995. “Differential Effects of Subjective Knowledge, Objective Knowledge, and Usage Experience on Decision Making: An Exploratory Investigation,” Journal of Consumer Psychology, 42, (2): 153-180.

    Article  Google Scholar 

  • Reder, L.M. and F.E. Ritter. 1992. “What Determines Initial Feeling of Knowing? Familiarity with Question Terms, Not with the Answer,” Journal of Experimental Psychology: Learning. Memorv. and Cognition. 18, (May): 435-451.

    Google Scholar 

  • Rosenberg, M. 1965. Society and the Adolescent Self-Image. Princeton University Press.

    Google Scholar 

  • Schaninger, C.M. and D. Sciglimpaglia. 1981. “The Influence of Cognitive Personality Traits and Demographics on Consumer Information Acquisition,” Journal of Consumer Research 8 (September): 208-216.

    Article  Google Scholar 

  • Schmidt, J.B. and R.A. Spreng. 1996. “A Proposed Model of External Consumer Information Search,” Journal of the Academy of Marketing Science. 24, (3): 246-256.

    Article  Google Scholar 

  • Sidera, J.A. 1983. “The Effects of Need-forCognition on Latitudes of Acceptance, Noncommitment, and Rejection of Issues and Attraction to Similar and Dissimilar Strangers,” Unpublished Dissertation, University of Notre Dame, South Bend.

    Google Scholar 

  • Spreng, R.A. and R.W. Olshavsky. 1990. “The Impact of Standard of Comparison and Knowledge Domain on the Measurement of Subjective Knowledge,” In 1990 AMA Educators’ Proceedings. Eds. A. Parasuraman and W. Bearden. American Marketing Association, 44-48.

    Google Scholar 

  • Sujan, M. 1985. “Consumer Knowledge: Effects on Evaluation Strategies Mediating Consumer Judgments,” Journal of Consumer Research. 12: 31-46.

    Article  Google Scholar 

  • Taylor, S.E. and S.C. Thompson. 1982. “Stalking the Elusive Vividness Effect,” Psychological Review. 89, (March): 155-181.

    Article  Google Scholar 

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Menguc, B., Uray, N. (2015). An Extended Model of Consumer Knowledge Assessment: A Cross-National Study. In: Manrai, A., Meadow, H. (eds) Global Perspectives in Marketing for the 21st Century. Developments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer, Cham. https://doi.org/10.1007/978-3-319-17356-6_46

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