Introduction
Advertising research has focused on three substantive areas: sales response to advertising, optimal advertising policy (constant spending or pulsing), and competitive reactions. The research has employed econometric, optimization and game theoretic analytical techniques to address the issues. The advent of enormous amounts of scanner panel data has led to some fruitful modeling at the individual household level. We will discuss contributions in each one of the three areas. A thorough review of optimal control advertising models is given in Feichtinger, Hartl, and Sethi (1994). Mathematical programming also has been a useful technology. Since some early successful applications of this technology for media planning, the progress has been limited because of measurement problems relating to advertising response function (Little and Lodish, 1969). However, advances in research provide reasons for optimism in identifying the response function (Little, 1979; Eastlack and Rao, 1986...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bass, F.M. (1969). “A Simultaneous Equation Regression Study of Advertising and Sales of Cigarettes,” Jl. Marketing Research, 6, 291–300.
Bass, F.M. and Clarke, D.G. (1972). “Testing Distributed Lag Models of Advertising Effect,” Jl. Marketing Research, 9, 298–308.
Bass, F.M. and Leone, Robert P. (1986). “Estimating Micro Relationships from Macro Data: A Comparative Study of Two Approximations of the Brand Loyal Model Under Temporal Aggregation,” Jl. Marketing Research, 23, 291–297.
Bass, F.M. and Parsons, L.J. (1969). “Simultaneous-Equation Regression Analysis of Sales and Advertising,” Applied Economics, 1, 103–124.
Blattberg, R.C. and Jeuland, A.P. (1981). “A Micro-modeling Approach to Investigate the Advertising-Sales Relationship,” Management Science, 27, 988–1005.
Bourguignon, F. and Sethi, S.P. (1981). “Dynamic Optimal Pricing and (Possibly) Advertising in the Face of Various Kinds of Potential Entrants,” Jl. Economic Dynamics and Control, 3, 119–140.
Bronnenberg, B.J. (1998). “Advertising Frequency Decisions in a Discrete Markov Process Under a Budget Constraint,” Jl. Marketing Research, 35, 399–406.
Dekimpe, M.G. and Hanssens, D.M. (1995). “Empirical Generalization About Market Evolution and Stationarity,” Marketing Science, 14, 109–121.
Eastlack, J.O. and Rao, A. (1986). “Modeling Response to Advertising and Pricing Changes for V8 Cocktail Vegetable Juice,” Marketing Science, 5, 245–259.
Erickson, G.M. (1991). “Empirical Analysis of Closed-Loop Duopoly Advertising Strategies,” Working Paper, University of Washington, Seattle.
Feinberg, F. (1992). “Pulsing Policies For Aggregate Advertising Models,” Marketing Science, 11, 221–234.
Feichtinger, G., Hartl, R.F., and Sethi, S.P. (1994). “Dynamic Optimal Control Models in Advertising: Recent Developments,” Management Science, 40, 195–226.
Hahn, M. and Hyun, J.S. (1990). “Advertising Cost Interpretations and the Optimality of Pulsing,” Management Science, 37, 157–169.
Jedidi, K., Mela, C.F., and Gupta, S. (1999). “Managing Advertising and Promotion for Long-Run Profitability,” Marketing Science, 18, 1–22.
Koyck, L.M. (1954). Distributed Lags and Investment Analysis, North Holland, Amsterdam.
Little, J.D.C. (1979). “Aggregate Advertising Models, The State of the Art,” Operations Research, 27, 629–667.
Little J.D.C. and Lodish, L.M. (1969). “A Media Planning Calculus,” Operations Research, 17, 1–35.
Mahajan, V. and Muller, E. (1986). “Advertising Pulsing Policies for Generating Awareness for New Products,” Marketing Science, 5, 89–106.
Naik, P.A., Mantrala, M.K., and Sawyer, A.F. (1998). “Planning Media Schedules in the Presence of Dynamic Advertising Quality,” Marketing Science, 17, 1–35.
Nerlove, M. and Arrow, K. (1962). “Optimal Advertising Policy under Dynamic Conditions,” Economica, 29, 129–142.
Pedrick, J.H. and Zufryden, F.S. (1991). “Evaluating The Impact of Advertising Media Plans: A Model of Consumer Purchase Dynamics Using Single-Source Data,” Marketing Science, 10, 111–130.
Rao, R.C. (1984). “Advertising Decisions in Oligopoly: An Industry Equilibrium Analysis,” Optimal Control Applications and Methods, 5, 331–344.
Rao, R.C. (1986). “Estimating Continuous Time Advertising-Sales Models,” Marketing Science, 5, 125–142.
Rust, R.T. and Eechambadi, N. (1989). “Scheduling Network Television Programs: A Heuristic Audience Flow Approach to Maximizing Audience Share,” Jl. Advertising, 18(2). 11–18.
Sasieni, M.W. (1971). “Optimal Advertising Expenditures,” Management Science, 18, 64–72.
Sethi, S.P. (1973). “Optimal Control of the Vidale-Wolfe Advertising Model,” Operations Research, 21, 998–1013.
Vidale, M.L. and Wolfe, H.B. (1957). “An Operations Research Study of Sales Response to Advertising,” Operations Research, 5, 370–381.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Kluwer Academic Publishers
About this entry
Cite this entry
Kalyanaram, G., Bass, F.M. (2001). Advertising . In: Gass, S.I., Harris, C.M. (eds) Encyclopedia of Operations Research and Management Science. Springer, New York, NY. https://doi.org/10.1007/1-4020-0611-X_17
Download citation
DOI: https://doi.org/10.1007/1-4020-0611-X_17
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-7923-7827-3
Online ISBN: 978-1-4020-0611-1
eBook Packages: Springer Book Archive