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A birth–death model of advertising and pricing

Published online by Cambridge University Press:  01 July 2016

S. Christian Albright*
Affiliation:
Indiana University School of Business
Wayne Winston
Affiliation:
Indiana University School of Business
*
Postal address: Indiana University, Graduate School of Business, School of Business Building, Bloomington, IN47401, U.S.A.

Abstract

This paper employs the methods currently used to solve many queuing control models in order to investigate the behavior of a firm's optimal advertising and pricing strategies over time. Given that a firm's market position expands or deteriorates in a probabilistic way which depends upon the current position, the rate of advertising, and the price the firm charges, we present conditions which ensure that the optimal level of advertising is a monotonic function of the firm's market position, and we discuss the economic meaning of these conditions. Furthermore, although the primary focus is upon a non-competitive environment, we develop the above model as a non-zero sum, two-person stochastic game and show that an equilibrium strategy exists which is simple to compute.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1979 

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References

1. Arrow, K. J. and Nerlove, M. (1962) Optimal advertising policy under dynamic conditions. Economica 39, 129142.Google Scholar
2. Balcer, Y. (1973) Optimal Advertising and Inventory. , Department of Operations Research, Stanford University.Google Scholar
3. Benjamin, B. (1966) The measurement of advertising. Appl. Statist. 15, 6373.Google Scholar
4. Bertsekas, D. (1976) Dynamic Programming and Stochastic Control. Academic Press, New York.Google Scholar
5. Borden, N. H. (1942) Economic Effects of Advertising. University of Chicago Press.Google Scholar
6. Crabill, T. (1975). Optimal control of a maintenance system with variable service rates. Opns Res. 22, 637745.Google Scholar
7. Crabill, T., Gross, D. and Magazine, M. (1977) A survey of research on optimal design and control of queues. Opns Res. 25, 219233.CrossRefGoogle Scholar
8. Dean, J. (1951) Cyclical policy on the advertising appropriations. J. Marketing 15, 265273.Google Scholar
9. Deshmukh, S. and Winston, W. (1977) A controlled birth and death process model of optimal product pricing under stochastically changing environment. J. Appl. Prob. 14, 328339.CrossRefGoogle Scholar
10. Dorfman, R. and Steiner, P. (1954) Optimal advertising and optimal quality. Amer. Econom. Rev. 44, 826836.Google Scholar
11. Gupta, S. and Krishna, K. S. (1967) Differential approach to marketing. Opns Res. 15, 10301039.Google Scholar
12. Harary, F. and Lipstein, B. (1962) The dynamics of brand loyalty: A Markov approach. Opns Res. 10, 1940.Google Scholar
13. Herniter, J. D. and Magee, J. (1961) Customer behaviour as a Markov process. Opns Res. 9, 105122.Google Scholar
14. Howard, R. (1960) Dynamic Programming and Markov Processes. MIT Press, Cambridge, Mass. Google Scholar
15. Howard, R. A. (1963) Stochastic process models of consumer behaviour. J. Advertising Res. 3, 3542.Google Scholar
16. Lambin, J. J. (1969) Measuring the profitability of advertising: an empirical study. J. Industrial Econ. 17, 86103.Google Scholar
17. Lippman, S. (1973) Semi-Markov decision processes with unbounded rewards. Management Sci. 19, 717731.CrossRefGoogle Scholar
18. Lippman, S. (1975) Applying a new technique in the optimization of exponential queuing systems. Opns Res. 23, 687710.Google Scholar
19. Lippman, S. (1976) Countable state continuous time dynamic programming with structure. Opns Res. 24, 477491.Google Scholar
20. Massey, W. F., Montgomery, D. B. and Morrison, D. G. (1970) Stochastic Models of Buying Behavior. MIT Press, Cambridge, Mass. Google Scholar
21. Miller, B. (1967) Finite state continuous time Markov decision processes with applications to a class of optimization problems in queuing theory. Technical Report No. 15, Department of Operations Research, Stanford University.Google Scholar
22. Phelps, E. and Winter, S. (1970) Optimal price policy under atomistic competition. In Microeconomic Foundations of Unemployment and Inflation Theory, ed. Phelps, E. S.. Norton, New York.Google Scholar
23. Rogers, P. D. (1969) Non-zero sum stochastic games. Report ORC 69–8, Operations Research Center, University of California, Berkeley.Google Scholar
24. Ross, S. (1970) Applied Probability Models with Optimization Applications. Holden-Day, San Francisco.Google Scholar
25. Sasieni, M. W. (1971) Optimal advertising expenditure. Management Sci. 18, 6472.Google Scholar
26. Sethi, S. P. (1973) Optimal control of the Vidale–Wolfe advertising model. Opns Res. 21, 9981013.Google Scholar
27. Sobel, M. J. (1971) Non-cooperative stochastic games. Ann. Math. Statist. 42, 19301935.Google Scholar
28. Sobel, M. J. (1975) The optimality of full service policies. Presented at the 1975 Lexington Symposium on Stochastic Systems.Google Scholar
29. Sobel, M. J. And Winston, W. (1976) Optimal extremal congestion management policies. Unpublished manuscript, July 1976.Google Scholar
30. Tapiero, C. S. (1975) On line and adaptive advertising control by a diffusion approximation. Opns Res. 23, 890908.Google Scholar
31. Tapiero, C. S. (1975) Random walk models of advertising and their diffusion processes. Ann. Econom. Soc. Measurement 4, 293311.Google Scholar
32. Topkis, D. M. (1978) Minimizing a subadditive function on a lattice. Opns Res. 26, 305322.CrossRefGoogle Scholar
33. Vidale, M. L. and Wolfe, H. B. (1957) An operations research study of sales response to advertising. Opns Res. 5, 370381.Google Scholar
34. Winston, W. (1977) Optimal control of discrete and continuous time maintenance systems with variable service rates. Opns Res. 25, 259268.CrossRefGoogle Scholar
35. Winston, W. (1978) A stochastic game model of a weapons development competition. SIAM J. Control Optimization 16, 411419.Google Scholar
36. Winston, W. and Albright, S. C. (1978) Markov decision models of advertising and pricing decisions. Opns Res. 26,Google Scholar