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Price volatility of revenue managed goods: Implications for demand and price elasticity

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  • Morlotti, Chiara
  • Mantin, Benny
  • Malighetti, Paolo
  • Redondi, Renato

Abstract

Revenue management practices are widely employed in various sectors. These mechanisms dynamically adjust prices observed by consumers typically through the control of price classes and their availability. As such, these pricing environments tend to exhibit some predictable behaviors as the product approaches the expiration or consumption date but may also result in varying degrees of price volatility. Such price paths may ultimately alter consumer behavior, e.g., via delayed purchase timing (i.e., strategic behavior) or different willingness to pay. Accordingly, we assess consumers’ responses to the realized price changes induced by revenue management mechanisms, using fare and sales data from aviation markets. Our empirical analyses reveal that price elasticity decreases (in absolute terms) in the degree of price volatility, whereas the realized demand is lower when price volatility is higher. This suggests that as prices become more volatile, consumers become more oblivious to these price fluctuations and may end up paying more for the products—thereby confirming and generalizing a behavior previously documented for consumer packaged goods (CPGs), which follow dramatically different pricing regimes. While this may suggest support for higher and more volatile prices, we find that given the higher prices, the overall demand decreases, highlighting a delicate trade-off firms face. To distill the insights from the empirical analyses, we formulate two hypotheses, which we test in a laboratory setting by means of an ad hoc experiment.

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  • Morlotti, Chiara & Mantin, Benny & Malighetti, Paolo & Redondi, Renato, 2024. "Price volatility of revenue managed goods: Implications for demand and price elasticity," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1039-1058.
  • Handle: RePEc:eee:ejores:v:312:y:2024:i:3:p:1039-1058
    DOI: 10.1016/j.ejor.2023.07.018
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    as
    1. Gérard P. Cachon & Robert Swinney, 2009. "Purchasing, Pricing, and Quick Response in the Presence of Strategic Consumers," Management Science, INFORMS, vol. 55(3), pages 497-511, March.
    2. E. Andrew Boyd & Ioana C. Bilegan, 2003. "Revenue Management and E-Commerce," Management Science, INFORMS, vol. 49(10), pages 1363-1386, October.
    3. Kamel Jedidi & Carl F. Mela & Sunil Gupta, 1999. "Managing Advertising and Promotion for Long-Run Profitability," Marketing Science, INFORMS, vol. 18(1), pages 1-22.
    4. Mayhew, Glenn E & Winer, Russell S, 1992. "An Empirical Analysis of Internal and External Reference Prices Using Scanner Data," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(1), pages 62-70, June.
    5. Oded Koenigsberg & Eitan Muller & Naufel Vilcassim, 2008. "easyJet® pricing strategy: Should low-fare airlines offer last-minute deals?," Quantitative Marketing and Economics (QME), Springer, vol. 6(3), pages 279-297, September.
    6. Garrett van Ryzin & Jeff McGill, 2000. "Revenue Management Without Forecasting or Optimization: An Adaptive Algorithm for Determining Airline Seat Protection Levels," Management Science, INFORMS, vol. 46(6), pages 760-775, June.
    7. Mantin, Benny & Gillen, David, 2011. "The hidden information content of price movements," European Journal of Operational Research, Elsevier, vol. 211(2), pages 385-393, June.
    8. Guillermo Gallego & Garrett van Ryzin, 1994. "Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons," Management Science, INFORMS, vol. 40(8), pages 999-1020, August.
    9. Rodrigo Acuna-Agost & Eoin Thomas & Alix Lhéritier, 2021. "Price elasticity estimation for deep learning-based choice models: an application to air itinerary choices," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(3), pages 213-226, June.
    10. Hofer, Christian & Windle, Robert J. & Dresner, Martin E., 2008. "Price premiums and low cost carrier competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(5), pages 864-882, September.
    11. Ming Chen & Zhi-Long Chen, 2015. "Recent Developments in Dynamic Pricing Research: Multiple Products, Competition, and Limited Demand Information," Production and Operations Management, Production and Operations Management Society, vol. 24(5), pages 704-731, May.
    12. Brons, Martijn & Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2002. "Price elasticities of demand for passenger air travel: a meta-analysis," Journal of Air Transport Management, Elsevier, vol. 8(3), pages 165-175.
    13. Kalyan Talluri & Garrett van Ryzin, 2004. "Revenue Management Under a General Discrete Choice Model of Consumer Behavior," Management Science, INFORMS, vol. 50(1), pages 15-33, January.
    14. Marshall Fisher & Santiago Gallino & Jun Li, 2018. "Competition-Based Dynamic Pricing in Online Retailing: A Methodology Validated with Field Experiments," Management Science, INFORMS, vol. 64(6), pages 2496-2514, June.
    15. Ravi Kumar & Ang Li & Wei Wang, 2018. "Learning and optimizing through dynamic pricing," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(2), pages 63-77, April.
    16. Koen Pauwels & Shuba Srinivasan & Philip Hans Franses, 2007. "When Do Price Thresholds Matter in Retail Categories?," Marketing Science, INFORMS, vol. 26(1), pages 83-100, 01-02.
    17. Kalyanaram, Gurumurthy & Little, John D C, 1994. "An Empirical Analysis of Latitude of Price Acceptance in Consumer Package Goods," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(3), pages 408-418, December.
    18. Javad Nasiry & Ioana Popescu, 2011. "Dynamic Pricing with Loss-Averse Consumers and Peak-End Anchoring," Operations Research, INFORMS, vol. 59(6), pages 1361-1368, December.
    19. Klein, Robert & Koch, Sebastian & Steinhardt, Claudius & Strauss, Arne K., 2020. "A review of revenue management: Recent generalizations and advances in industry applications," European Journal of Operational Research, Elsevier, vol. 284(2), pages 397-412.
    20. Gillen, David & Mantin, Benny, 2009. "Price volatility in the airline markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(5), pages 693-709, September.
    21. Marcus, Benjamin & Anderson, Chris K., 2008. "Revenue management for low-cost providers," European Journal of Operational Research, Elsevier, vol. 188(1), pages 258-272, July.
    22. Perera, Suranga & Tan, David, 2019. "In search of the “Right Price” for air travel: First steps towards estimating granular price-demand elasticity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 557-569.
    23. Morlotti, Chiara & Cattaneo, Mattia & Malighetti, Paolo & Redondi, Renato, 2017. "Multi-dimensional price elasticity for leisure and business destinations in the low-cost air transport market: Evidence from easyJet," Tourism Management, Elsevier, vol. 61(C), pages 23-34.
    24. Salanti, Andrea & Malighetti, Paolo & Redondi, Renato, 2012. "Low-cost pricing strategies in leisure markets," Tourism Management, Elsevier, vol. 33(2), pages 249-256.
    25. Gurumurthy Kalyanaram & Russell S. Winer, 1995. "Empirical Generalizations from Reference Price Research," Marketing Science, INFORMS, vol. 14(3_supplem), pages 161-169.
    26. Mantin, Benny & Rubin, Eran, 2018. "Price volatility and market performance measures: The case of revenue managed goods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 120(C), pages 35-50.
    27. Youyi Feng & Guillermo Gallego, 2000. "Perishable Asset Revenue Management with Markovian Time Dependent Demand Intensities," Management Science, INFORMS, vol. 46(7), pages 941-956, July.
    28. Johnson, Michael D & Anderson, Eugene W & Fornell, Claes, 1995. "Rational and Adaptive Performance Expectations in a Customer Satisfaction Framework," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(4), pages 695-707, March.
    29. William L. Cooper & Tito Homem-de-Mello & Anton J. Kleywegt, 2006. "Models of the Spiral-Down Effect in Revenue Management," Operations Research, INFORMS, vol. 54(5), pages 968-987, October.
    30. Rui Yin & Yossi Aviv & Amit Pazgal & Christopher S. Tang, 2009. "Optimal Markdown Pricing: Implications of Inventory Display Formats in the Presence of Strategic Customers," Management Science, INFORMS, vol. 55(8), pages 1391-1408, August.
    31. Kristopher S. Gerardi & Adam Hale Shapiro, 2009. "Does Competition Reduce Price Dispersion? New Evidence from the Airline Industry," Journal of Political Economy, University of Chicago Press, vol. 117(1), pages 1-37, February.
    32. Winer, Russell S, 1986. "A Reference Price Model of Brand Choice for Frequently Purchased Products," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(2), pages 250-256, September.
    33. Lillian L. Cheng & Kent B. Monroe, 2013. "An appraisal of behavioral price research (part 1): price as a physical stimulus," AMS Review, Springer;Academy of Marketing Science, vol. 3(3), pages 103-129, September.
    34. Arnoud V. den Boer & Bert Zwart, 2015. "Dynamic Pricing and Learning with Finite Inventories," Operations Research, INFORMS, vol. 63(4), pages 965-978, August.
    35. Manel Baucells & Nikolay Osadchiy & Anton Ovchinnikov, 2017. "Behavioral Anomalies in Consumer Wait-or-Buy Decisions and Their Implications for Markdown Management," Operations Research, INFORMS, vol. 65(2), pages 357-378, April.
    36. Lillian L. Cheng & Kent B. Monroe, 2013. "Some reflections on an appraisal of behavioral price research (part 1)," AMS Review, Springer;Academy of Marketing Science, vol. 3(3), pages 155-159, September.
    37. Malighetti, Paolo & Paleari, Stefano & Redondi, Renato, 2009. "Pricing strategies of low-cost airlines: The Ryanair case study," Journal of Air Transport Management, Elsevier, vol. 15(4), pages 195-203.
    38. Jun Li & Nelson Granados & Serguei Netessine, 2014. "Are Consumers Strategic? Structural Estimation from the Air-Travel Industry," Management Science, INFORMS, vol. 60(9), pages 2114-2137, September.
    39. Janiszewski, Chris & Lichtenstein, Donald R, 1999. "A Range Theory Account of Price Perception," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(4), pages 353-368, March.
    40. Gonca P. Soysal & Lakshman Krishnamurthi, 2012. "Demand Dynamics in the Seasonal Goods Industry: An Empirical Analysis," Marketing Science, INFORMS, vol. 31(2), pages 293-316, March.
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