Article Abstract:
The managerial implications of a firm's optimal advertising decisions under conditions of uncertainty are analyzed. For the static one-period model, the results show that the potential divergence between advertising decisions under uncertainty and those under deterministic conditions depends on the firm's attitude toward risk. For the dynamic multi-period model with a quadratric response function which contains an unknown parameter, whether it is optimal for the firm to experiment at an advertising rate higher, equal to or lower than the myopic level depends on the specification of the response function, regardless of the nature of the firm's attitude toward risk. The assumption of a quadratric sales response function is supported by empirical results based on time-series data of twelve major brands of cigarettes.
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Article Abstract:
The application of certain theories surrounding contingent decision making behavior is researched to determine whether these theories apply outside of consumer purchasing decisions. The area of application for this research is the decision behaviors of bank loan officers making loan decisions. The decision-making methods of eleven bank officers granting loans with similar task sizes and similar loan variables are investigated, and the research demonstrates that as task sizes increased relative to decisions to be made, loan officers' decision-making patterns reflected noncompensatory strategies more. Apparently the loan officers' decision making processes are contingent upon task characteristics.
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Article Abstract:
A mathematical model is developed that designates optimal configurations for the location of television equipment for service stations throughout the U.S. The model may be applied in general to any stochastic service network comprised of multiple servers with one multiserver overflow location, such that customer requests for service that cannot be met by the multiple servers are handled by the overflow location. The model developed employs myopic nonlinear programming algorithms for identifying the number of servers for the stations and assigning the desired percentages of customers per server to minimize operating costs.
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