Advertising Decision Rules in a Multibrand Environment: Optimal Control Theory and Evidence

1978 ◽  
Vol 15 (1) ◽  
pp. 82-92 ◽  
Author(s):  
Mario J. Picconi ◽  
Charles L. Olson

The authors postulate that the firm pursues a present value profit maximization goal in determining its advertising strategy. Advertising is included in the profit function nonlinearly as a factor cost and as a demand stimulant. On the basis of optimal control theory, an optimal advertising-sales ratio decision rule is formulated with respect to the brand's demand parameters. Reliably collected data on sales and advertising expenditures on a bimonthly basis were used to obtain empirical estimates of the brand parameters. A simultaneous estimation of the demand parameters of all the competing brands was performed to harness efficiently the information inherent in the system of brand demand equations. Comparing the firm's behavior on brand advertising with the derived decision rule ratio suggests the potential usefulness of such analytical models for improving the productivity of advertising expenditures and for determining the change in advertising policy which would be appropriate in the event of changes in a brand's demand sensitivity.

2014 ◽  
Vol 2 ◽  
pp. 86-86
Author(s):  
Miki U. Kobayashi ◽  
Nobuaki Aoki ◽  
Noriyoshi Manabe ◽  
Tadafumi Adschiri

2020 ◽  
pp. 108473
Author(s):  
Xiuquan Liu ◽  
Zhaowei Liu ◽  
Xianglei Wang ◽  
Nan Zhang ◽  
Na Qiu ◽  
...  

2020 ◽  
Vol 8 (1) ◽  
pp. 168-179
Author(s):  
Jead M. Macalisang ◽  
Mark L. Caay ◽  
Jayrold P. Arcede ◽  
Randy L. Caga-anan

AbstractBuilding on an SEIR-type model of COVID-19 where the infecteds are further divided into symptomatic and asymptomatic, a system incorporating the various possible interventions is formulated. Interventions, also referred to as controls, include transmission reduction (e.g., lockdown, social distancing, barrier gestures); testing/isolation on the exposed, symptomatic and asymptomatic compartments; and medical controls such as enhancing patients’ medical care and increasing bed capacity. By considering the government’s capacity, the best strategies for implementing the controls were obtained using optimal control theory. Results show that, if all the controls are to be used, the more able the government is, the more it should implement transmission reduction, testing, and enhancing patients’ medical care without increasing hospital beds. However, if the government finds it very difficult to implement the controls for economic reasons, the best approach is to increase the hospital beds. Moreover, among the testing/isolation controls, testing/isolation in the exposed compartment is the least needed when there is significant transmission reduction control. Surprisingly, when there is no transmission reduction control, testing/isolation in the exposed should be optimal. Testing/isolation in the exposed could seemingly replace the transmission reduction control to yield a comparable result to that when the transmission reduction control is being implemented.


2005 ◽  
Vol 414 (1-3) ◽  
pp. 204-209 ◽  
Author(s):  
Cindie Kehlet ◽  
Thomas Vosegaard ◽  
Navin Khaneja ◽  
Steffen J. Glaser ◽  
Niels Chr. Nielsen

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