Abstract
In this chapter I assert that revenue management techniques like contingent pricing are not merely an optimal response by firms to exogenous conditions of uncertain demand that is spread over time but that sometimes one of the aims of those techniques is to shape consumer demand in such a way as to create the conditions necessary for successful employment of intertemporal price discrimination. In this view, the interaction between a firm’s policies and the strategic response of consumers to those policies leads to consumer arrival processes that are the basis of many revenue management techniques. I consider a model with strategic consumers who can decide when to show up in the market and reveal demand. Using the example of contingent pricing, I investigate how consumers’ awareness of the use of contingent pricing affects their decisions regarding when to show up in the market and how, in turn, consumers’ responses should affect the firm’s use of contingent pricing. I identify the conditions under which it is optimal for the firm to use contingent pricing to induce consumers to arrive at different times in the market. Implications for the design and use of contingent pricing and for public policy are explored.
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References
Anderson CJ (2003) The psychology of doing nothing: Forms of decision avoidance result from reason and emotion. Psychological Bulletin 129:139–167
Ariely D, Wertenbroch K (2002) Procrastination, deadlines, and performance: Self-control by precommitment. Psychological Science 13(3):219–224
Aviv Y, Pazgal A (2007) Optimal pricing of seasonal products in the presence of forward-looking consumers. Manufacturing & Service Operations Management
Besanko D, Whinston WL (1990) Optimal price skimming by a monopolist facing rational consumers. Management Science 36(5):555–567
Biyalogorsky E, Gerstner E (2004) Contingent pricing to reduce price risks. Marketing Science 23(1):146–155
Biyalogorsky E, Carmon Z, Fruchter G, Gerstner E (1999) Overselling with opportunistic cancellations. Marketing Science 18(4):605–610
Bohern Ø, Eckbo BE, Michalsen D (1997) Why underwrite rights offerings? Some new evidence. Journal of Financial Economics 43:223–261
Brumelle SL, McGill JI, Oum TH, Sawaki K, Tretheway MW (1990) Allocation of airline seats between stochastically dependent demands. Transportation Science 24:183–192
Cho M, Fan M, Zhou Y-P (2009) Strategic consumer response to dynamic pricing of perishable products. Consumer-driven demand and operations management models. Eds. Serguei Netessine and Christopher Tang, Springer. 435–457.
Elmaghraby W, Lippman S, Tang CS, Yin R (2009) Will More Purchasing Options Benefit Customers? Production and Operations Management. Forthcoming
Fay S, Xie J (2008) Probabilistic goods: An innovative way of selling products and services. Marketing Science. 27(4): 674–690.
Gallego G, Kou SG, Phillips R (2008) Revenue management of callable products. Management Science 54(3):530–564
Koenigsberg O, Muller E, Vilcassim NJ (2008) easyJet pricing strategy: Should low-fare airlines offer last minute deals? Quantitative Marketing & Economics 6(3):279-297
Jerath K, Netessine S, Veeraraghavan SK (2007) Revenue management with strategic customers: Last-minute selling and opaque selling. Working paper, University of Pennsylvania, Wharton
Laffont JJ (1989) The Economics of Uncertainty and Information. Cambridge: MIT Press
Pfeifer PE (1989) The airline discount fare allocation problem. Decision Sciences 20:149–157
Su X (2007) Inter-temporal pricing with strategic customer behavior. Management Science 53(5):726–741
Wollmer RD (1992) An airline seat management model for a single leg route when lower fare classes book first. Operations Research 40(1):26–37
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Biyalogorsky, E. (2009). Shaping Consumer Demand through the Use of Contingent Pricing. In: Tang, C., Netessine, S. (eds) Consumer-Driven Demand and Operations Management Models. International Series in Operations Research & Management Science, vol 131. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-98026-3_16
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DOI: https://doi.org/10.1007/978-0-387-98026-3_16
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