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Competitive Dynamics in the Sharing Economy: An Analysis in the Context of Airbnb and Hotels

Author

Listed:
  • Hui Li

    (Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Kannan Srinivasan

    (Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

Abstract

The entry of flexible-capacity sharing economy platforms (e.g., Airbnb and Uber) has potentially changed the competitive landscape in traditional industries with fixed-capacity incumbents and volatile demand. Leveraging panel data on hotels and Airbnb, we study how the sharing economy fundamentally changes the way the industry accommodates demand fluctuations and how incumbent firms should strategically respond. The demand estimates suggest that Airbnb’s flexible supply helps recover the lost underlying demand due to hotel seasonal pricing (i.e., higher prices during high-demand seasons) and even stimulates more demand in some cities. The counterfactual results suggest that some hotel types in some cities may benefit from conducting less seasonal pricing and even considering counter-seasonal pricing. Market conditions (e.g., seasonality patterns, hotel prices and quality, consumer composition, and Airbnb supply elasticity) play a crucial role in determining the impact of Airbnb on hotel sales and hotels’ strategic response. Finally, recent Airbnb and policy changes (e.g., higher Airbnb hosting costs due to hotel taxes or lower Airbnb hosting costs due to third-party services and the “professionalism” of hosts) affect the competitive dynamics. The profits of high-end hotels are the most sensitive to the changes in Airbnb hosting costs. Airbnb’s recent attempt to behave more like hotels can increase hotels’ vulnerability to lower Airbnb hosting costs.

Suggested Citation

  • Hui Li & Kannan Srinivasan, 2019. "Competitive Dynamics in the Sharing Economy: An Analysis in the Context of Airbnb and Hotels," Marketing Science, INFORMS, vol. 38(3), pages 365-391, May.
    • Handle: RePEc:inm:ormksc:v:38:y:2019:i:3:p:365-391
    DOI: 10.1287/mksc.2018.1143
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    References listed on IDEAS

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    1. Kenneth Train ., 2000. "Halton Sequences for Mixed Logit," Economics Working Papers E00-278, University of California at Berkeley.
    2. Judith A. Chevalier & Anil K. Kashyap & Peter E. Rossi, 2003. "Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data," American Economic Review, American Economic Association, vol. 93(1), pages 15-37, March.
    3. Russell Cooper & John Haltiwanger, 1993. "Automobiles and the National Industrial Recovery Act: Evidence on Industry Complementarities," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 1043-1071.
    4. Elizabeth J. Warner & Robert B. Barsky, 1995. "The Timing and Magnitude of Retail Store Markdowns: Evidence from Weekends and Holidays," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 321-352.
    5. Arturs Kalnins, 2006. "Markets: The U.S. Lodging Industry," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 203-218, Fall.
    6. Liran Einav, 2007. "Seasonality in the U.S. motion picture industry," RAND Journal of Economics, RAND Corporation, vol. 38(1), pages 127-145, March.
    Full references (including those not matched with items on IDEAS)

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