Designing optimal preannounced markdowns in the presence of rational customers with multiunit demands

Manufacturing and Service Operations Management

Volumn 10, Issue 1, 2008, Pages 126-148

  Elmaghraby, Wedad ^a   Gülcü, Altan ^b,c   Keskinocak, Pinar ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b Georgia Institute of Technology   (United States)

^c SAS INSTITUTE INC   (United States)

Author keywords

Markdown; Price discrimination; Pricing; Strategic bidding

Indexed keywords

COMPLETE INFORMATIONS; CUSTOMER VALUATIONS; INDIVIDUAL CUSTOMERS; INFORMATION SETTINGS; MARKDOWN; OPTIMAL DESIGNS; PRICE DISCRIMINATION; PRICING; PRICING MECHANISMS; SET OF CUSTOMERS; STRATEGIC BIDDING; STRATEGIC BUYERS;

CUSTOMER SATISFACTION; LAW ENFORCEMENT; MACHINE DESIGN; OPTIMIZATION; SALES;

COSTS;

EID: 50249181075     PISSN: 15234614     EISSN: 15265498     Source Type: Journal    
DOI: 10.1287/msom.1070.0157     Document Type: Article

References (38)

1. Anderson, C. K., J. G. Wilson. 2003. Wait or buy? The strategic consumer: Pricing and profit implications. J. Oper. Res. Soc. 54 299-306.
2. Aviv, Y., A. Pazgal. 2004. Optimal pricing of seasonal products in the presence of forward-looking consumers. Working paper, Olin School of Business, Washington University, St. Louis, MO.
3. Bass, F. M., T. V. Krishnan, D. C. Jain. 1994. Why the Bass model fits without decision variables. Marketing Sci. 13 203-223.
4. Besanko, D., W. Winston. 1990. Optimal price skimming by a monopolist facing rational consumers. Management Sci. 36(5) 555-567.
5. Bitran, G. R., S. V Mondschein. 1997. Periodic pricing of seasonal products in retailing. Management Sci. 43 64-79.
6. Cachon, G., M. Lariviere. 1999. Capacity allocation using past sales: When to rurn-and-earn. Management Sci. 45(5) 685-703.
7. Carare, O., M. Rothkopf. 2001. Slow Dutch auctions. Management Sci. 51(3) 365-373.
8. Coy, P. 2000. The power of smart pricing. Bus. Week (April 10).
9. Elmaghraby, W., P. Keskinocak. 2003. Dynamic pricing in the presence of inventory considerations: Research overview, current practices and future directions. Management Sci. 49 1287-1309.
10. Elmaghraby, W., A. Gulcu, P. Keskinocak. 2004. Markdown pricing with uncertain demand. Working paper, Georgia Institute of Technology, Atlanta, GA.
11. Elmaghraby, W. J., S. A. Lippman, C. S. Tang, R. Yin. 2006. Will more purchasing options benefit customers. Working paper, Anderson School of Business, University of California, Los Angeles, Los Angeles, CA.
12. Engelbrecht-Wiggans, R., C. M. Kahn. 1998. Multi-unit pay-your-bid auctions with variable awards. Games Econom. Behav. 23 25-42.
13. Federgruen, A., A. Heching. 1999. Combined pricing and inventory control under uncertainty. Oper. Res. 47 454-475.
14. Feng, Y., G. Gallego. 1995. Optimal starting times for end-of-season sales and optimal stopping times for promotional fares. Management Sci. 41 1371-1391.
15. Gallego, G., G. J. van Ryzin. 1994. Optimal dynamic pricing of inventories with stochastic demand over finite horizon. Management Sci. 40 999-1020.
16. Harris, M., A. Raviv. 1981. A theory of monopoly pricing schemes with demand uncertainty. Amer. Econom. Rev. 71 347-365.
17. Kagel, J., A. E. Roth. 1995. Auctions, The Handbook of Experimental Economics. Princeton University Press, Princeton, NJ.
18. Kalish, S. 1983. Monopolist pricing with dynamic demand and production cost. Marketing Sci. 2 135-159.
19. Katok, E., A. M. Kwasnica. 2002. Time is money: The effect of clock speed on seller's revenue in Dutch auctions. Working paper, Penn State University, University Park, PA.
20. Katzman, B. 1999. A two stage sequential auction with multi-unit demands. J. Econom. Theory 86 77-99.
21. Kreps, D. 1990. A Course in Microeconomic Theory. Princeton University Press, Princeton, NJ.
22. Lazear, E. P. 1986. Retail pricing and clearance sales. Amer. Econom. Rev. 76 14-32.
23. Liu, Q., G. van Ryzin. 2005. Strategic capacity rationing to induce early purchases. Working paper, Columbia Business School, Columbia University, New York.
24. Lucking-Reiley, D. 1999. Using field experiments to test the equivalence between auction formats: Magic on the Internet. Amer. Econom. Rev. 89 1063-1080.
25. Nocke, V., M. Peitz. 2005. Monopoly pricing under demand uncertainty: The optimality of clearance sales. Working paper, Department of Economics, University of Pennsylvania, Philadelphia, PA.
26. Pashigian, B. P. 1988. Demand uncertainty and sales: A study of fashion and markdown pricing. Amer. Econom. Rev. 78 936-953.
27. Pashigian, B. P., B. Bowen. 1991. Why are products sold on sale? Explanations of pricing regularities. Quart. J. Econom. 106 1015-1038.
28. Smith, S., D. Achabal. 1998. Clearance pricing and inventory policies for retail chains. Management Sci. 44 285-300.
29. Stokey, N. 1979. Intertemporal price discrimination. Quart. J. Econom. 93 355-371.
30. Su, X. 2005. Inter-temporal pricing with strategic customer behavior. Working paper, Haas School of Business, University of California, Berkeley, Berkeley, CA.
31. Tenorio, R. 1997. On strategic quantity bidding in multiple unit auctions. J. Indust. Econom. 45 207-217.
32. Tenorio, R. 1999. Multiple unit auctions with strategic pricequantity decisions. Econom. Theory 13 247-260.
33. Varian, H. 1992. Microeconomic Analysis, 3rd ed. W. W. Norton & Company, New York.
34. Wang, R. 1993. Auctions versus posted-price selling. Amer. Econom. Rev. 83 838-851.
35. Warner, E. J., R. B. Barsky. 1995. The timing and magnitude of retail store markdowns: Evidence from weekends and holidays. Quart. J. Econom. 110 321-352.
36. Williams, L. 2005. Vice President Pricing Science, Zilliant, presentation at University of Maryland, College Park, MD.
37. Wilson, J. G. 1988. On the optimal pricing policy of a monopolist. J. Political Econom. 91(1) 164-176.
38. Wreden, N. 2003. Advantages of dynamic pricing. http://www.dmnews.com/ cms/dm-news/internet-marketing/23868.html.