IDEAS home Printed from https://ideas.repec.org/a/pal/jorapm/v21y2022i4d10.1057_s41272-021-00352-9.html
   My bibliography  Save this article

Risk information and markdowns-induced incentives to participate in hotel room resale schemes

Author

Listed:
  • Ling Ling

    (University of Delaware)

  • Timothy Webb

    (University of Delaware)

  • Zvi Schwartz

    (University of Delaware)

Abstract

Enforcement is a key revenue management price discrimination tool. This study is first to address a hotel industry concern that enforcement is increasingly failing, as 3rd party agents resell unqualified prices to deal-oriented customers. We outline a decision model that involves the discount level (cost saving for the consumer) and information regarding a possible service denial by the hotel (risk to the consumer). Most importantly, this study is first to suggest, and empirically test, the notion that the level of discount might diminish the ability of information regarding service denial to reduce the undesirable behavior.

Suggested Citation

  • Ling Ling & Timothy Webb & Zvi Schwartz, 2022. "Risk information and markdowns-induced incentives to participate in hotel room resale schemes," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(4), pages 418-430, August.
    • Handle: RePEc:pal:jorapm:v:21:y:2022:i:4:d:10.1057_s41272-021-00352-9
    DOI: 10.1057/s41272-021-00352-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41272-021-00352-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1057/s41272-021-00352-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Julie Barnett & Glynis M. Breakwell, 2001. "Risk Perception and Experience: Hazard Personality Profiles and Individual Differences," Risk Analysis, John Wiley & Sons, vol. 21(1), pages 171-178, February.
    2. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    3. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    4. Christopher Chabris & David Laibson & Carrie Morris & Jonathon Schuldt & Dmitry Taubinsky, 2008. "Individual laboratory-measured discount rates predict field behavior," Journal of Risk and Uncertainty, Springer, vol. 37(2), pages 237-269, December.
    5. William D. Grampp, 1948. "Adam Smith and the Economic Man," Journal of Political Economy, University of Chicago Press, vol. 56(4), pages 315-315.
    6. Stanley Kaplan & B. John Garrick, 1981. "On The Quantitative Definition of Risk," Risk Analysis, John Wiley & Sons, vol. 1(1), pages 11-27, March.
    7. Ireland, Peter N., 1998. "Customer Flows, Countercyclical Markups, and the Output Effects of Technology Shocks," Journal of Macroeconomics, Elsevier, vol. 20(4), pages 649-664, October.
    8. Forsythe, Sandra M. & Shi, Bo, 2003. "Consumer patronage and risk perceptions in Internet shopping," Journal of Business Research, Elsevier, vol. 56(11), pages 867-875, November.
    9. Aleix Calveras & Francina Orfila, 2014. "Intermediaries and Quality Uncertainty: Evidence from the Hotel Industry," Tourism Economics, , vol. 20(4), pages 727-756, August.
    10. Khalilzadeh, Jalayer & Tasci, Asli D.A., 2017. "Large sample size, significance level, and the effect size: Solutions to perils of using big data for academic research," Tourism Management, Elsevier, vol. 62(C), pages 89-96.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dohmen, Thomas, 2014. "Behavioral labor economics: Advances and future directions," Labour Economics, Elsevier, vol. 30(C), pages 71-85.
    2. Croson, Rachel & Gächter, Simon, 2010. "The science of experimental economics," Journal of Economic Behavior & Organization, Elsevier, vol. 73(1), pages 122-131, January.
    3. Kerri Brick & Martine Visser & Justine Burns, 2012. "Risk Aversion: Experimental Evidence from South African Fishing Communities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 133-152.
    4. Amrei Lahno & Marta Serra-Garcia, 2015. "Peer effects in risk taking: Envy or conformity?," Journal of Risk and Uncertainty, Springer, vol. 50(1), pages 73-95, February.
    5. Ispano, Alessandro & Schwardmann, Peter, 2017. "Cooperating over losses and competing over gains: A social dilemma experiment," Games and Economic Behavior, Elsevier, vol. 105(C), pages 329-348.
    6. Goytom Abraha Kahsay & Daniel Osberghaus, 2018. "Storm Damage and Risk Preferences: Panel Evidence from Germany," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 301-318, September.
    7. Uri Ben-Zion & Jan Pieter Krahnen & TAL SHAVIT, 2007. "Subjective Evaluation Of Delayed Risky Outcomes: An Experimental Approach," Working Papers 0709, Ben-Gurion University of the Negev, Department of Economics.
    8. Attema, Arthur E. & Brouwer, Werner B.F., 2012. "A test of independence of discounting from quality of life," Journal of Health Economics, Elsevier, vol. 31(1), pages 22-34.
    9. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    10. Bocqueho, Geraldine & Jacquet, Florence & Reynaud, Arnaud, 2011. "Expected Utility or Prospect Theory Maximizers? Results from a Structural Model based on Field-experiment Data," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114257, European Association of Agricultural Economists.
    11. Christoph Bühren & Thorben C. Kundt, 2013. "Worker or Shirker – Who Evades More Taxes? A Real Effort Experiment," MAGKS Papers on Economics 201326, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    12. Luís Santos-Pinto & Adrian Bruhin & José Mata & Thomas Åstebro, 2015. "Detecting heterogeneous risk attitudes with mixed gambles," Theory and Decision, Springer, vol. 79(4), pages 573-600, December.
    13. Alex Imas & Sally Sadoff & Anya Samek, 2017. "Do People Anticipate Loss Aversion?," Management Science, INFORMS, vol. 63(5), pages 1271-1284, May.
    14. Andersen, Steffen & Harrison, Glenn W. & Lau, Morten Igel & Rutström, Elisabet E., 2014. "Dual criteria decisions," Journal of Economic Psychology, Elsevier, vol. 41(C), pages 101-113.
      • Andersen, Steffen & Harrison, Glenn W. & Lau, Morten Igel & Rutström, Elisabet, 2009. "Dual Criteria Decisions," Working Papers 02-2009, Copenhagen Business School, Department of Economics.
    15. Enrico Diecidue & Peter Wakker & Marcel Zeelenberg, 2007. "Eliciting decision weights by adapting de Finetti’s betting-odds method to prospect theory," Journal of Risk and Uncertainty, Springer, vol. 34(3), pages 179-199, June.
    16. Chen, Fuzhong & Hsu, Chien-Lung & Lin, Arthur J. & Li, Haifeng, 2020. "Holding risky financial assets and subjective wellbeing: Empirical evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    17. Hermansson, Cecilia, 2018. "Can self-assessed financial risk measures explain and predict bank customers’ objective financial risk?," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 226-240.
    18. Jacquemet, Nicolas & Rullière, Jean-Louis & Vialle, Isabelle, 2008. "Monitoring optimistic agents," Journal of Economic Psychology, Elsevier, vol. 29(5), pages 698-714, November.
    19. Jonathan Chapman & Erik Snowberg & Stephanie Wang & Colin Camerer, 2018. "Loss Attitudes in the U.S. Population: Evidence from Dynamically Optimized Sequential Experimentation (DOSE)," NBER Working Papers 25072, National Bureau of Economic Research, Inc.
    20. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2013. "Salience and Consumer Choice," Journal of Political Economy, University of Chicago Press, vol. 121(5), pages 803-843.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:jorapm:v:21:y:2022:i:4:d:10.1057_s41272-021-00352-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.