Product pricing in the e-Business era

Supply Chain Management on Demand: Strategies, Technologies, Applications

Volumn , Issue , 2005, Pages 65-96

  Heching, Aliza ^a   Leung, Ying Tat ^b  

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b IBM ALMADEN RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77649165292     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/3-540-27354-9_4     Document Type: Chapter

References (62)

1. Agosta, L. (2001) Sales logic: Price optimization software commands premium pricing in a soft software market, IdeaByte, Giga Information Group, September 3
2. Ahn, H., Gumus, M., Kaminsky, P. (2004) Pricing and Manufacturing Decisions when Demand is a Function of Prices in Multiple Periods, Working paper, Michigan Business School
3. Amihud, Y., Mendelson, H. (1983) Price Smoothing and Inventory, Review of Economic Studies, L, 87-98
4. Arjunji, R. V., Bass, F. M. (1996) A Model of Retail Promotion, Manuscript, Yale School of Management, New Haven, CT
5. Aviv, Y., Pazgal, A. (2002) Pricing of Short Life-Cycle Products through Active Learning, Working Paper, Olin School of Business
6. Aviv, Y., Pazgal, A. (2003) Optimal Pricing of Seasonal Products in the Presence of Forward-Looking Consumers, Working Paper, Olin School of Business
7. Bass, F. M. (1969) A New Product Growth Model for Consumer Durables, Management Science 15(5):215-226
8. Bernstein, F., Federgruen, A. (2001) Dynamic Inventory and Pricing Models for Competing Retailers, conditionally accepted to Naval Research Logistics
9. Ben-Akiva, M., Lerman, S. (1985) Discrete Choice Analysis: Theory and Application to Travel Demand, MIT Press, Cambridge, MA
10. Bitran, G. R., Caldentey, R., Mondschein, S. (1998) Coordinating Clearance Markdown Sales of Seasonal Products in Retail Chains, Operations Research 46(5):609-624
11. Bitran, G. R., Mondschein, S. V. (1997) Periodic Pricing of Seasonal Products in Retailing, Management Science 43(1):64-79
12. Blinder, A. (1982) Inventories and Sticky Prices: More on the Microfoundations of Macroeconomics, American Economic Review 72:334-348
13. Boone, C. (2002) Casual Male improves gross margins and sell-throughs using Profit Logic: An IDC customer case study, IDC Research Report
14. Cao, H., Gung, R., Lawrence, R., Jang, Y., Lin, G., Lu, Y (2002) Bid Winning Probability Estimation and Pricing Modeling, U. S. patent filed
15. Cassaigne, N. Papaioannou, V. (2000) Knowledge focused bid price setting process, Proceedings of the 11th International Workshop on Database and Expert Systems Applications, pp 841-845
16. Chan, L. M. A., Shen, Z. J., Simchi-Levi, D., Swann, J. (2004) Coordination of Pricing and Inventory Decisions: A Survey and Classification, Chapter 9 in: Handbook of Quantitative Supply Chain Analysis: Modeling In The E-business Era, Simchi-Levi, D., Wu, S. D., Shen, Z. J. (eds.), Kluwer Academic Publishers
17. Chan, L. M. A., Simchi-Levi, D., Swann, J. (2002) Dynamic Pricing Strategies for Manufacturing with Stochastic Demand and Discretionary Sales, Working Paper, Georgia Institute of Technology, Atlanta, GA
18. Chen, X., Simchi-Levi, D. (2002) Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost, Working Paper, Massachusetts Institute of Technology, Cambridge, MA
19. Eliashberg, J., Steinberg, R. (1991) Marketing-production joint decision making, in: Eliashberg, J., Lilien, J. D. (eds.), Management Science in Marketing, Handbooks in Operations Research and Management Science, Volume 5, North Holland, Amsterdam
20. Elmaghraby, W., Keskinocak, P. (2003) Dynamic Pricing in the Presence of Inventory Considerations: Research Overview, Current Practices, and Future Directions, Management Science 49(10):1287-1309
21. Federgruen, A., Heching, A. (1999) Combined pricing and inventory control under uncertainty, Operations Research 47(3):454-475
22. Feldman, J. M. (1990) Fares: To Raise or Not to Raise, Air Transport World 27(6):58-59
23. Feng, Y., Gallego, G. (1995) Optimal starting times for end-of-season sales and optimal stopping times for promotional fares, Management Science 41(8):1371-1391
24. Gallego, G., Huang, Y., Katircioglu, K., Leung, Y. T. (2000) When to share information in a simple supply chain, submitted for publication
25. Gallego, G., Van Ryzin, G. J. (1994) Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons, Management Science 40(8):999-1020
26. Gallego, G., Van Ryzin, G. J. (1997) A multi-product dynamic pricing problem and its applications to network yield management, Operations Research, 45(1):24-41
27. Gilbert, S. M. (2000) Coordination of Pricing and Multiple-period Production across Multiple Constant Priced Goods, Management Science 46(12):1602-1616
28. Girard, G. (2002) Price optimization is hot, but it's just the beginning, AMR Research Report, August 31
29. Hassin, R., Haviv, M. (2003) To Queue or Not to Queue: Equilibrium Behavior in Queueing Systems (International Series in Operations Research & Management Science, 59), Kluwer Academic Publishers
30. Heching, A., Gallego, G., Van Ryzin, G. (2002) Markdown pricing: An empirical analysis of policies and revenue potential at one apparel retailer, Journal of Pricing and Revenue Management 1(2):139-160
31. Heching, A., Leung, Y. T., Levanoni, M., Parija, G. (2001) Optimal pricing and promotion decisions to maximize profit, presented at the INFORMS Marketing Science Conference, Wiesbaden, Germany
32. Ho, T. H., Tang, C. S., Bell, D. R. (1998) Rational Shopping Behavior and the Option Value of Variable Pricing, Management Science 44(12):S145-S160
33. Johnson, C. A., Allen, L., Dash, A. (2001) Retail Revenue Management, The Forrester Report, December 2001
34. Krishna, A., Kopalle, P. (2003) Retailers' Optimal Ordering and Pricing Decisions in a Multi-brand Trade-Dealing Environment, Manuscript, University of Michigan Graduate School of Business
35. Lawrence, R. D. (2003) A Machine-Learning Approach to Optimal Bid Pricing, in: Computational Modeling and Problem Solving in the Networked World: Interfaces in Computer Science and Operations Research, Bhargava, H. K., Ye, N. (eds.), Kluwer Academic Publishers
36. Leung, Y. T., Levanoni, M., Hu, C. W., Ramaswamy, S. (2002) Better demand models through data clustering, presented at the INFORMS Marketing Science Conference, June 2002
37. Leung, Y. T., Ramaswamy, S. (1998) Price Markdown Assessment, proprietary client report, IBM Research Division, July 1998.
38. Maglaris, C., Zeevi, A. (2003) Pricing and design of differentiated services: Approximate analysis and structural insights, submitted for publication
39. Marn, M. V., Roegner, E. V., Zawada, C. C. (2003) The Power of Pricing, McKinsey Quarterly, Number 1
40. McWilliams, G. (2001) Lean Machine: How Dell Fine-Tunes its PC Pricing to Gain Edge in a Slow Market, Wall Street Journal (Eastern edition), June 8, p. A1
41. Merrick, A. (2001) Priced to move: Retailers attempt to get a leg up on markdowns with new software, Wall Street Journal, August 7
42. Monroe, K. B., Della Bitta, A. J. (1978) Models for pricing decisions, Journal of Marketing Research XV: 413-428
43. Neslin, S. A., Powell, S. G., Stone, L. S. (1995) The Effects of Retailer and Consumer Response on Optimal Manufacturer Advertising and Trade Promotion Strategies, Management Science 41(5):749-766
44. O'Neill, M., Daggupaty, V., Cauley, C. (2003) Max margin, The role of price optimization systems, IDC Report, Number 29704, Vol. 1, January 2003
45. Papaioannou, V., Cassaigne, N. (2000) A critical analysis of bid pricing models and support tool, 2000 IEEE International Conference on Systems, Man, and Cybernetics, 3, 2098-2103
46. Petruzzi, N., Dada, M. (1999) Pricing and the Newsvendor Problem: A Review with Extensions, Operations Research, 47(2):183-194
47. Riley, J. and Zeckhauser, R. (1983) Optimal selling strategies: When to haggle, when to hold firm, The Quarterly Journal of Economics, 98(2):267-289.
48. Riley, J. G., Samuelson, W. F. (1981) Optimal Auctions, American Economic Review 71:381-392
49. Scott, K. (2003) Driving demand profitability with pricing, AMR Research Report, January 2003.
50. Shankar, V., Bolton, R. (2004) An Empirical Analysis of Determinants of Retailer Pricing Strategy, Marketing Science 23(1):28-49
51. Silva-Risso, J. M., Bucklin, R. E., Morrison, D. G. (1999) A Decision Support System for Planning Manufacturers' Sales Promotion Calendars, Marketing Science 18(3):274-300
52. Smith, S. A., Achabal, D. D. (1998) Clearance Pricing & Inventory Policies for Retail Chains, Management Science 44(3):285-300
53. Subrahmanyan, S., Shoemaker, R. (1996) Developing optimal pricing and inventory policies for retailers who face uncertain demand, Journal of Retailing 72(1):7-30
54. Talluri, K. T., Van Ryzin, G. J. (2000) Revenue Management Under a General Discrete Choice Model of Demand", Management Science 50(1):15-30
55. Tedechi, B. (2002) Scientifically priced retail goods, The New York Times, September 2
56. Tellis, G. J., Zufryden, F. S. (1995) Tackling the Retailer Decision Maze: Which Brands to Discount, How Much, When and Why?, Marketing Science 14(3):271-299
57. Tohamy, N., Johnson, C. A., Herbert, L. (2003) Price optimization adoption soars in 2004, Forrester Research Brief, December 5
58. Tsay, A. A., Nahmias, S., Agrawal, N. (1999) Modeling Supply Chain Contracts: A Review, in: Quantitative Models for Supply Chain Management, Tayur, S., Ganeshan, R., Magazine, M. (eds.), Kluwer Academic Publishers
59. Van Mieghan, J., Dada, M. (1999) Price vs. Production Postponement: Capacity and Competition, Management Science 45(12):1631-1649
60. Wolfstetter, E. (1999) Topics in Microeconomics: Industrial organization, auctions, and incentives, Cambridge University Press
61. Yano, C., Gilbert, S. M. (2003) Coordinated Pricing and Production/Procurement Decisions: A Review, in: Managing Business Interfaces: Marketing, Engineering, and Manufacturing Perspectives, Chakravarty, A. K., Eliashberg, J. (eds.), Kluwer Academic Publishers
62. Zhu, K., Thonemann, U. W. (2002) Coordination of Pricing and Inventory Control Across Products, Working Paper, The Hong Kong University of Science and Technology and University of Munster (under review)