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Analysis Of The Impact Of Online Product Reviews On Temporal And Cognitive Search Costs: An Eye-Tracking Approach

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  • Naveen C. Amblee

    (Indian Institute of Management Kozhikode)

Abstract

The literature on online product reviews examine the fundamental premise that reviews reduce search costs and also increase consumer confidence in their purchase decisions, whichhas not been proven in the previous literature. We conducted an experiment using an eye-tracking machine to measure the impact of online reviews on consumer information search costs and on decision confidence. We find that both editorial reviews and customer reviews when presented separately reduce the search time considerably, but not when present together. However, we find that the presence of both types of reviews increases decision confidence considerably, thereby, suggesting a trade-off between search time and decision confidence. When both types of reviews are presented together, the cognitive cost of processing non-review information is significantly reduced implying more efficient allocation of cognitive resources. We conclude with several managerial recommendations for ecommerce firms.

Suggested Citation

  • Naveen C. Amblee, 2014. "Analysis Of The Impact Of Online Product Reviews On Temporal And Cognitive Search Costs: An Eye-Tracking Approach," Working papers 157, Indian Institute of Management Kozhikode.
  • Handle: RePEc:iik:wpaper:157
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    References listed on IDEAS

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    1. Stigler, George J., 2011. "Economics of Information," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 35-49.
    2. Bennett, Peter D & Harrell, Gilbert D, 1975. "The Role of Confidence in Understanding and Predicting Buyers' Attitudes and Purchase Intentions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(2), pages 110-117, Se.
    3. John G. Lynch , Jr. & Dan Ariely, 2000. "Wine Online: Search Costs Affect Competition on Price, Quality, and Distribution," Marketing Science, INFORMS, vol. 19(1), pages 83-103, April.
    4. Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. "Constructive Consumer Choice Processes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 187-217, December.
    5. Robert Meyer & Eric J. Johnson, 1995. "Empirical Generalizations in the Modeling of Consumer Choice," Marketing Science, INFORMS, vol. 14(3_supplem), pages 180-189.
    6. J. Yannis Bakos, 1997. "Reducing Buyer Search Costs: Implications for Electronic Marketplaces," Management Science, INFORMS, vol. 43(12), pages 1676-1692, December.
    7. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
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