Using quantitative models for setting retail prices

Journal of Product & Brand Management

Volumn 9, Issue 5, 2000, Pages 304-320

  Subrahmanyan, Saroja ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Demand forecasting; Inventory; Pricing; Quantitative modelling; Retailing; Seasonal trends

Indexed keywords

EID: 84986076187     PISSN: 10610421     EISSN: None     Source Type: Journal    
DOI: 10.1108/10610420010347100     Document Type: Review

References (35)

1. Bhat, R.R. (1985), Managing the Demand for Fashion Items, UMI Research Press, Ann Arbor, MI.
2. Bitran, R.G. and Mondschein, S.V. (1997), “Periodic pricing of seasonal products in retailing”, Management Science, Vol. 43 No. 1, January, pp. 64-79.
3. Carlson, P.G. (1982), “A system for the control of retail fashion inventories”, Annual Industrial Engineering Conference Proceedings, pp. 505-10.
4. Cash, R.P. and Frankel, H.H. (1986), Improving Apparel Shop Profits: A Professional Approach, National Retail Merchants Association, New York, NY.
5. Chain Store Age Executive (1993), “Profiles in merchandising: new analysis tool aids Bruan”, Vol. 69 No. 6, June, p. 58.
6. Cohen, M.A. (1977), “Joint pricing and ordering policy for exponentially decaying inventory with known demand”, Naval Research Logistics Quarterly, Vol. 24, pp. 257-68.
7. Crowston, W.B., Hausman, W.H. and Kempe II, W.R. (1973), “Multistage production for stochastic seasonal demand”, Management Science, Vol. 19 No. 8, pp. 924-35.
8. Eliashberg, J. and Steinberg, R. (1993), “Marketing-production joint decision making”, in Eliashberg, J. and Lilien, G.L. (Eds), Handbooks in OR & MS, Vol. 5, Elsevier Science Publishers, pp. 827-80.
9. Enis, B.M. and Broome, C.L. (1973), Marketing Decisions. A Bayesian Approach, International Textbook Company, Aylesbury.
10. Eppen, G.D. and Iyer, A.V. (1997), “Improved fashion buying with Bayesian updates”, Operations Research, Vol. 45 No. 6, November-December, pp. 805-19.
11. Feng, Y. and Gallego, G. (1995), “Optimal starting times for end-of-season sales and optimal stopping times for promotional fares”, Management Science, Vol. 41 No. 8, August, pp. 1371-91.
12. Green, P.E. (1963), “Bayesian decision theory in pricing strategy”, Journal of Marketing, Vol. 27, January, pp. 5-14.
13. Hausman, W.H. and Peterson, R. (1972), “Multiproduct production scheduling for style goods with limited capacity, forecast revisions and terminal delivery”, Management Science, Vol. 18 No. 7, pp. 370-83.
14. Hoch, S.J. (1993), “Real-time, real-world pricing and promotion experiments”, paper presented at the Marketing Science Conference, St Louis, MI.
15. Hogarth, R.M. and Makridakis, S. (1981), “Forecasting and planning: an evaluation”, Management Science, Vol. 27 No. 2, pp. 115-38.
16. Kunreuther, H. and Schrage, L. (1973), “Joint pricing and inventory decisions for constant priced items”, Management Science, Vol. 19, pp. 732-8.
17. Lazear, E.P. (1986), “Retail pricing and clearance sales”, American Economic Review, Vol. 76, March, pp. 14-32.
18. Lilien, G.L., Kotler, P. and Moorthy, S.K. (1992), Marketing Models, Prentice-Hall, Englewood Cliffs, NJ.
19. Lodish, L.M. (1980), “Applied dynamic pricing and production models with specific application to broadcast spot pricing”, Journal of Marketing Research, Vol. 17, May, pp. 203-11.
20. Luhmer, A. (1982), “Pricing products under time-limited demand”, in Feichtinger (Ed.), Optimal Control Theory and Economic Analysis, North Holland Publishing, Amsterdam, pp. 59-78.
21. Matsuo, H. (1990), “A stochastic sequencing problem for style goods with forecast revisions and hierarchical structure”, Management Science, Vol. 36 No. 3, March, pp. 332-47.
22. Murray, G.R. and Silver, E.A. (1966), “A Bayesian analysis of the style goods inventory problem”, Management Science, Vol. 12, pp. 785-97.
23. Pashigian, P.B. (1988), “Demand uncertainty and sales: a study of fashion and markdown pricing”, The American Economic Review, Vol. 78 No. 5, December, pp. 936-53.
24. Rajan, A., Rakesh and Steinberg, R. (1992), “Dynamic pricing and ordering decisions by a monopolist”, Management Science, Vol. 38, February, pp. 240-62.
25. Riter, C.B. (1967), “The merchandising decision under uncertainty”, Journal of Marketing, Vol. 31, January, pp. 44-7.
26. Schlaifer R. (1959), Probability and Statistics for Business Decisions: An Introduction to Managerial Economics under Uncertainty, McGraw-Hill, New York, NY.
27. Silver, E.A., Pyke, D.F. and Peterson, R. (1998), Inventory Management and Production Planning and Scheduling, 3rd ed., John Wiley, New York, NY.
28. Smith, S.A. and Achabal, D.D. (1998), “Clearance pricing and inventory policies for retail chains”, Management Science, Vol. 44 No. 3, March, pp. 285-300.
29. Subrahmanyan, S. (1998), “An exploratory empirical study on how pricing and inventory decisions are made in a simulated environment”, Research Paper Series, Faculty of Business Administration, National University of Singapore, May, RPS, No. 98-23.
30. Subrahmanyan, S. and Shoemaker, R.W. (1996), “Developing optimal pricing and inventory policies for retailers who face uncertain demand”, Journal of Retailing, Vol. 72 No. 1, pp. 7-30.
31. Thomas, J. (1970), “Price production decisions with deterministic demand”, Management Science, Vol. 16, pp. 747-50.
32. Tversky, A. and Kahneman, D. (1986), “Rational choice and the framing of decisions”, Journal of Business, Vol. 4 No. 2, Part 2, pp. S251-S278.
33. Van Praag, B.M.S. and Bode, B. (1992), “Retail pricing and costs of clearance sales: the formalisation of a rule of thumb”, European Economic Review, Vol. 36, pp. 942-62.
34. Whitin, T.M. (1955), “Inventory control and price theory”, Management Science, Vol. 2, pp. 61-8.
35. Wolfe, H.B. and Little, A.D. (1968), “A model for control of style merchandise”, Industrial Management Review, (now Sloan Management Review), Vol. 9 No. 2, pp. 69-82.