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Effects of the perceived diagnosticity of presented attribute and brand name information on sensitivity to missing information

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  • Hernandez, José Mauro C.
  • Han, Xiaoqi
  • Kardes, Frank R.

Abstract

Four experiments demonstrated that as the perceived diagnosticity of the presented information increases, sensitivity to missing diagnostic information decreases. However, experts were sensitive to missing information regardless of the diagnosticity of the presented attribute information. When a well-known brand name was paired with the attribute information, novices were insensitive to missing information regardless of the diagnosticity of the presented attribute information. Implications of the results for understanding information utilization and omission neglect are discussed.

Suggested Citation

  • Hernandez, José Mauro C. & Han, Xiaoqi & Kardes, Frank R., 2014. "Effects of the perceived diagnosticity of presented attribute and brand name information on sensitivity to missing information," Journal of Business Research, Elsevier, vol. 67(5), pages 874-881.
  • Handle: RePEc:eee:jbrese:v:67:y:2014:i:5:p:874-881
    DOI: 10.1016/j.jbusres.2013.07.006
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    References listed on IDEAS

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    1. Kardes, Frank R. & Posavac, Steven S. & Silvera, David & Cronley, Maria L. & Sanbonmatsu, David M. & Schertzer, Susan & Miller, Felicia & Herr, Paul M. & Chandrashekaran, Murali, 2006. "Debiasing omission neglect," Journal of Business Research, Elsevier, vol. 59(6), pages 786-792, June.
    2. Alba, Joseph W & Hutchinson, J Wesley, 1987. "Dimensions of Consumer Expertise," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(4), pages 411-454, March.
    3. Sanbonmatsu, David M. & Kardes, Frank R. & Posavac, Steven S. & Houghton, David C., 1997. "Contextual Influences on Judgment Based on Limited Information," Organizational Behavior and Human Decision Processes, Elsevier, vol. 69(3), pages 251-264, March.
    4. Lynch, John G, Jr, 1982. "On the External Validity of Experiments in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(3), pages 225-239, December.
    5. van Osselaer, Stijn M J & Janiszewski, Chris, 2001. "Two Ways of Learning Brand Associations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(2), pages 202-223, September.
    6. Sanbonmatsu, David M. & Kardes, Frank R. & Herr, Paul M., 1992. "The role of prior knowledge and missing information in multiattribute evaluation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 51(1), pages 76-91, February.
    7. Connolly, Terry & Srivastava, Joydeep, 1995. "Cues and Components in Multiattribute Evaluation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 64(2), pages 219-228, November.
    8. Jacoby, Jacob & Szybillo, Geroge J & Busato-Schach, Jacqueline, 1977. "Information Acquisition Behavior in Brand Choice Situations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 3(4), pages 209-216, March.
    9. Peterson, Robert A, 2001. "On the Use of College Students in Social Science Research: Insights from a Second-Order Meta-analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(3), pages 450-461, December.
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