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The Effects of Travelers’ Price Sensitivity on Information Search Behaviors

Author

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  • Junghye Angela Kah

    (Department of Tourism Management, Kyonggi University, Seoul 03746, Korea)

  • Seong-Hoon Lee

    (Department of Economics and Statistics, Korea University, Sejong 30019, Korea)

  • Jinok Susanna Kim

    (Department of Research and Development, Research Institute for Spirituality of Martyrdom, Seoul 04374, Korea)

Abstract

In a remarkably heterogeneous tourism market, marketers apply a wide range of strategies which help them ward off competitors and attract customers. The openness of travel information such as product and service quality and price is essential but still a challenge for marketers since traveler characteristics are often multi-dimensional. This study devotes special attention to travelers’ price sensitivity, and aims to investigate whether price sensitivity can segment travelers and the effects on information search behavior. For this purpose, the research study conducted Analysis of Variance (ANOVA) and regression analysis using survey data of 310 respondents. The results confirm the existence of heterogeneity in price sensitivity and there is a clear difference in the use of information by travelers resulting from this variable. Marketers should therefore utilize different communication strategies for travelers with different price sensitivities. For example, to obtain price-sensitive travelers it is more efficient to provide travel information with a clear difference in price between products and services that will reduce their search efforts. On the other hand, to target price-insensitive travelers, marketers should provide sufficient information about product attributes through online personal information sources including organizations such as Trip Advisor, Twitter, Facebook, and Instagram.

Suggested Citation

  • Junghye Angela Kah & Seong-Hoon Lee & Jinok Susanna Kim, 2022. "The Effects of Travelers’ Price Sensitivity on Information Search Behaviors," Sustainability, MDPI, vol. 14(7), pages 1-14, March.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:3818-:d:778283
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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. Anil Kaul & Dick R. Wittink, 1995. "Empirical Generalizations About the Impact of Advertising on Price Sensitivity and Price," Marketing Science, INFORMS, vol. 14(3_supplem), pages 151-160.
    3. Chang, Kuo-Liang & Chen, Chiang-Ming & Meyer, Timothy J., 2013. "A comparison study of travel expenditure and consumption choices between first-time and repeat visitors," Tourism Management, Elsevier, vol. 35(C), pages 275-277.
    4. Lichtenstein, Donald R & Bearden, William O, 1989. "Contextual Influences on Perceptions of Merchant-Supplied Reference Prices," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(1), pages 55-66, June.
    5. Michael D. Grubb, 2015. "Overconfident Consumers in the Marketplace," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 9-36, Fall.
    6. Eric K. Clemons & Il-Horn Hann & Lorin M. Hitt, 2002. "Price Dispersion and Differentiation in Online Travel: An Empirical Investigation," Management Science, INFORMS, vol. 48(4), pages 534-549, April.
    7. Borenstein, Severin & Rose, Nancy L, 1994. "Competition and Price Dispersion in the U.S. Airline Industry," Journal of Political Economy, University of Chicago Press, vol. 102(4), pages 653-683, August.
    8. Ehrlich, Isaac & Fisher, Lawrence, 1982. "The Derived Demand for Advertising: A Theoretical and Empirical Investigation," American Economic Review, American Economic Association, vol. 72(3), pages 366-388, June.
    9. Siliang Tong & Xueming Luo & Bo Xu, 2020. "Personalized mobile marketing strategies," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 64-78, January.
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