Chun, So Yeon and Kleywegt, Anton J and Shapiro, Alexander (2011): Revenue management in resource exchange seller alliances.
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The purpose of this paper is to obtain insight into conditions under which a resource exchange alliance can provide greater profit than the setting without an alliance, and to propose a model to design a resource exchange alliance. We first consider a setting in which customers want a combined product assembled from products sold by different sellers. We show that without an alliance the sellers will tend to price their products too high and sell too little, thereby foregoing potential profit, especially when capacity is large. This provides an economic motivation for interest in alliances, because the hope may be that some of the foregone profit may be captured under an alliance. We then consider a resource exchange alliance, including the effect of the alliance on competition among alliance members. We show that the foregone profit may indeed be captured under such an alliance. The problem of determining the optimal amounts of resources to exchange is formulated as a stochastic mathematical program with equilibrium constraints. We show how to determine whether there exists a unique equilibrium after resource exchange, how to compute the equilibrium, and how to compute the optimal resource exchange.
|Item Type:||MPRA Paper|
|Original Title:||Revenue management in resource exchange seller alliances|
|Keywords:||Alliance, resource exchange, pricing, revenue management, stochastic mathematical programming with equilibrium constraints, non-cooperative game|
|Subjects:||C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C68 - Computable General Equilibrium Models
C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis
C - Mathematical and Quantitative Methods > C7 - Game Theory and Bargaining Theory > C72 - Noncooperative Games
|Depositing User:||So Yeon Chun|
|Date Deposited:||12. Nov 2011 05:47|
|Last Modified:||07. Oct 2015 14:23|
Agarwal, R., O. Ergun. 2010. Network design and allocation mechanisms for carrier alliances in liner shipping. Operations Research 58(6) 1726-1742.
Bamberger, G. E., D. W. Carlton, L. R. Neumann. 2004. An empirical investigation of the competitive effects of domestic airline alliances. The Journal of Law and Economics 47(1) 195-222.
Barla, Philippe, Christos Constantatos. 2006. On the choice between strategic alliance and merger in the airline sector: The role of strategic effects. Journal of Transport Economics and Policy 40(3) 409-424.
Bonnans, J. F., A. Shapiro. 2000. Perturbation Analysis of Optimization Problems . Springer-Verlag, New York.
Boyd, A. 1998. Airline alliances. OR/MS Today 25(5) 28-31.
Brueckner, J. K. 2001. The economics of international code sharing: An analysis of airline alliances. International Journal of Industrial Organization 19(10) 1475-1498.
Brueckner, J. K. 2003. International airfares in the age of alliances: The effects of codesharing and antitrust immunity. Review of Economics and Statistics 85(1) 105-118.
Brueckner, J. K., W. T. Whalen. 2000. The price effects of international airline alliances. The Journal of Law and Economics 43(2) 503-545.
Chen, Yongmin, Philip G. Gayle. 2007. Vertical contracting between airlines: An equilibrium analysis of codeshare alliances. International Journal of Industrial Organization 25(5) 1046-1060.
Cote, J. P., P. Marcotte, G. Savard. 2003. A bilevel modeling approach to pricing and fare optimization in the airline industry. Journal of Revenue and Pricing Management 2 23-26.
Gayle, Philip G. 2007. Airline code-share alliances and their competitive effects. Journal of Law & Economics 50 781-819.
Houghtalen, L., O. Ergun, J. Sokol. 2010. Designing mechanisms for the management of carrier alliances. To appear in Transportation Science.
Hu, X., R. Caldentey, G. Vulcano. 2011. Revenue sharing in airline alliances. Manuscript.
Ito, H., D. Lee. 2007. Domestic code sharing, alliances, and airfares in the U.S. airline industry. The Journal of Law and Economics 50(2) 355-380.
Lin, M. 2004. Strategic airline alliances and endogenous stackelberg equilibria. Transportation Research Part E: Logistics and Transportation Review 40E(5) 357-384.
Lu, H. A., S. L. Chen, P. Lai. 2010. Slot exchange and purchase planning of short sea services for liner carriers. Journal of Marine Science and Technology 18(5) 709-718.
Midoro, R., A. Pitto. 2000. A critical evaluation of strategic alliances in liner shipping. Maritime Policy & Management 27(1) 31-40.
Morrish, S., R. Hamilton. 2002. Airline alliances - who benefits? Journal of Air Transport Management 8(6) 401-407.
Netessine, S., R. A. Shumsky. 2005. Revenue management games: Horizontal and vertical competition. Management Science 51(5) 813-831.
O'Neal, J. W., M. S. Jacob, A. K. Farmer, K. G. Martin. 2007. Development of a codeshare flight-profitability system at Delta Air Lines. Interfaces 37(5) 436-444.
Park, J. 1997. The effects of airline alliances on markets and economic welfare. Transportation Research Part E: Logistics and Transportation Review 33(3) 181-195.
Park, Jong-Hun, Anming Zhang. 2000. An empirical analysis of global airline alliances: Cases in North Atlantic markets. Review of Industrial Organization 16(4) 367-384.
Park, Jong-Hun, Anming Zhang, Yimin Zhang. 2001. Analytical models of international alliances in the airline industry. Transportation Research 35B(9) 865-886.
Shapiro, A., D. Dentcheva, A. Ruszczynski. 2009. Lectures on Stochastic Programming: Modeling and Theory. SIAM, Philadelphia.
Shapiro, A., Huifu Xu. 2008. Stochastic mathematical programs with equilibrium constraints, modeling and sample average approximation. Optimization 57(3) 395-418.
Sivakumar, R. 2003. Codeshare optimizer-maximizing codeshare revenues. AGIFORS Schedule and Strategic Planning, Toulouse, France.
Slack, B., C. Comtois, R. McCalla. 2002. Strategic alliances in the container shipping industry: A global perspective. Maritime Policy & Management 29(1) 65-76.
Song, Dong-Wook, Photis M. Panayides. 2002. A conceptual application of cooperative game theory to liner shipping strategic alliances. Maritime Policy & Management 29(3) 285-301.
Spence, M. 1976. Product differentiation and welfare. American Economic Review 66(2) 407-14.
Spengler, J. J. 1950. Vertical integration and antitrust policy. The Journal of Political Economy 58(4) 347-352.
Tasnadi, A. 1999. A two-stage BertrandEdgeworth game. Economics Letters 65(3) 353-358.
Vinod, B. 2005. Alliance revenue management. Journal of Revenue and Pricing Management 4(1) 66-82.
Vives, X. 1999. Oligopoly Pricing: Old Ideas and New Tools. MIT Press, Cambridge, MA.
Wen, Y.-H., C.-I. Hsu. 2006. Interactive multiobjective programming in airline network design for international airline code-share alliance. European Journal of Operational Research 174(1) 404-426.
Wright, Christopher P., Harry Groenevelt, Robert A. Shumsky. 2010. Dynamic revenue management in airline alliances. Transportation Science 44(1) 15-37.
Zhang, A., Y. V. Hui, L. Leung. 2004. Air cargo alliances and competition in passenger markets. Transportation Research Part E: Logistics and Transportation Review 40(2) 83-100.