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dc.contributor.authorMarcus, Benjamin
dc.contributor.authorAnderson, Chris K.
dc.date.accessioned2020-09-12T21:06:56Z
dc.date.available2020-09-12T21:06:56Z
dc.date.issued2008-01-01
dc.identifier.other6037163
dc.identifier.urihttps://hdl.handle.net/1813/71990
dc.description.abstractLow-cost providers have emerged as important players in many service industries, the most predominant being low-cost, or the so-called discount airlines. This paper presents models and results leading toward understanding the revenue management outlook for a discount pricing firm. A framework and model is formulated specifically for the airline industry, but is generalizable to low-cost providers in similar revenue management settings. We formulate an optimal pricing control model for a firm that must underprice to capture a segment of exogenous demand. Two specific model formulations are considered: a continuous deterministic version, and a discrete stochastic version. Structural results are derived for the deterministic case, providing insight into the general form of optimal underpricing policies. The stochastic results support the structural insight from the deterministic solution, and illuminate the effect of randomness on the underpricing policies.
dc.language.isoen_US
dc.rightsRequired Publisher Statement: © Elsevier . Final version published as: Marcus, B., & Anderson, C. K. (2008). Revenue management for low-cost providers. European Journal of Operational Research, 188(1), 258-272. DOI: 10.1016/j.ejor.2007.04.010. Reprinted with permission. All rights reserved.
dc.subjectrevenue management
dc.subjectdynamic pricing
dc.subjectcontrol theory
dc.titleRevenue Management for Low-Cost Providers
dc.typearticle
dc.relation.doihttps://doi.org/10.1016/j.ejor.2007.04.010
dc.description.legacydownloadsAnderson16_Revenue_Management_for_Low_cost_Providers__1_.pdf: 1759 downloads, before Aug. 1, 2020.
local.authorAffiliationMarcus, Benjamin: Suffolk University
local.authorAffiliationAnderson, Chris K.: cka9@cornell.edu Cornell University


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