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The role of electronic word of mouth in reducing information asymmetry: An empirical investigation of online hotel booking

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  • Manes, Eran
  • Tchetchik, Anat

Abstract

The hotel industry is plagued with asymmetric information, which may distort prices and reduce incentives to provide quality service. However, both branding and hotel star ratings play an important role in reducing information asymmetry. The question addressed here is whether electronic word-of-mouth (eWOM) - an increasingly popular form of online feedback -contributes to any further reduction in information asymmetry; and, if so, in what manner. Using a dataset of listed prices and guests' ratings extracted from Booking.com, including several covariates, we show that the price–reputation gradient is much steeper in lower star-rated hotels than in higher star-rated hotels. The gradient is also steeper in unbranded hotels than in branded hotels. As lower star-rated and unbranded hotels are laden with greater quality uncertainty, this finding lends support to the hypothesis that the greater the information asymmetry, the greater the role of eWOM in reducing that uncertainty. Managerial implications are discussed.

Suggested Citation

  • Manes, Eran & Tchetchik, Anat, 2018. "The role of electronic word of mouth in reducing information asymmetry: An empirical investigation of online hotel booking," Journal of Business Research, Elsevier, vol. 85(C), pages 185-196.
    • Handle: RePEc:eee:jbrese:v:85:y:2018:i:c:p:185-196
    DOI: 10.1016/j.jbusres.2017.12.019
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    1. Park, Cheol & Lee, Thae Min, 2009. "Information direction, website reputation and eWOM effect: A moderating role of product type," Journal of Business Research, Elsevier, vol. 62(1), pages 61-67, January.
    2. Michaël Dewally & Louis Ederington, 2006. "Reputation, Certification, Warranties, and Information as Remedies for Seller-Buyer Information Asymmetries: Lessons from the Online Comic Book Market," The Journal of Business, University of Chicago Press, vol. 79(2), pages 693-730, March.
    3. Xinxin Li & Lorin M. Hitt, 2008. "Self-Selection and Information Role of Online Product Reviews," Information Systems Research, INFORMS, vol. 19(4), pages 456-474, December.
    4. Wendy W. Moe & David A. Schweidel, 2012. "Online Product Opinions: Incidence, Evaluation, and Evolution," Marketing Science, INFORMS, vol. 31(3), pages 372-386, May.
    5. Shyam Gopinath & Pradeep K. Chintagunta & Sriram Venkataraman, 2013. "Blogs, Advertising, and Local-Market Movie Box Office Performance," Management Science, INFORMS, vol. 59(12), pages 2635-2654, December.
    6. Bin Gu & Jaehong Park & Prabhudev Konana, 2012. "Research Note ---The Impact of External Word-of-Mouth Sources on Retailer Sales of High-Involvement Products," Information Systems Research, INFORMS, vol. 23(1), pages 182-196, March.
    7. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-475, June.
    8. Rigall-I-Torrent, Ricard & Fluvià, Modest, 2011. "Managing tourism products and destinations embedding public good components: A hedonic approach," Tourism Management, Elsevier, vol. 32(2), pages 244-255.
    9. Phillips, Paul & Zigan, Krystin & Santos Silva, Maria Manuela & Schegg, Roland, 2015. "The interactive effects of online reviews on the determinants of Swiss hotel performance: A neural network analysis," Tourism Management, Elsevier, vol. 50(C), pages 130-141.
    10. Kennedy, Peter E, 1981. "Estimation with Correctly Interpreted Dummy Variables in Semilogarithmic Equations [The Interpretation of Dummy Variables in Semilogarithmic Equations]," American Economic Review, American Economic Association, vol. 71(4), pages 801-801, September.
    11. Yubo Chen & Jinhong Xie, 2008. "Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix," Management Science, INFORMS, vol. 54(3), pages 477-491, March.
    12. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
    13. Filieri, Raffaele, 2015. "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM," Journal of Business Research, Elsevier, vol. 68(6), pages 1261-1270.
    14. Chen, Kevin C.W. & Wang, Jiwei, 2007. "Accounting-based regulation in emerging markets: The case of China's seasoned-equity offerings," The International Journal of Accounting, Elsevier, vol. 42(3), pages 221-236.
    15. Rigall-I-Torrent, Ricard & Fluvià, Modest & Ballester, Ramon & Saló, Albert & Ariza, Eduard & Espinet, Josep-Maria, 2011. "The effects of beach characteristics and location with respect to hotel prices," Tourism Management, Elsevier, vol. 32(5), pages 1150-1158.
    16. Park, Sangwon & Nicolau, Juan L., 2015. "Asymmetric effects of online consumer reviews," Annals of Tourism Research, Elsevier, vol. 50(C), pages 67-83.
    17. Pradeep K. Chintagunta & Shyam Gopinath & Sriram Venkataraman, 2010. "The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets," Marketing Science, INFORMS, vol. 29(5), pages 944-957, 09-10.
    18. Casaló, Luis V. & Flavián, Carlos & Guinalíu, Miguel & Ekinci, Yuksel, 2015. "Avoiding the dark side of positive online consumer reviews: Enhancing reviews' usefulness for high risk-averse travelers," Journal of Business Research, Elsevier, vol. 68(9), pages 1829-1835.
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