Reply of the authors of Farris, P., J. Olver, C. De Kluyver. 1989. The relationship between distribution and market share. 107–128 to commentaries Hughes, D. A. 1989. Commentary. 128 and Kruger, M. W., J. Dennerlein, A. Power. 1989. Commentary—Deciphering distribution effects. 129–130.

This paper develops an aggregate-level model of distribution and market share for frequently purchased, branded consumer goods that is founded in the concepts of “push” and “pull.” The model makes a key distinction between uncompromised and compromised demand as sources of market share....

An interactive goal programming approach for assessing scenario probabilities used in long-range forecasting and decision analysis is developed and illustrated using a small numerical example. The method only requires marginal event probability and ordinal or interval first-order conditional...

A recent article by Lilien (Lilien, Gary L. 1979. ADVISOR 2: Modeling the marketing mix decision for industrial products. Management Sci. 25 (February) 191--204.) reports the principal findings of the ADVISOR 2 project, in which regression models are used to explain levels of advertising and...

Composite variables are those that may be mathematically decomposed into additive and/or multiplicative component variables. Several researchers have noted that the relationship between a composite variable and its components may be a mathematical artifact, but the effect of their inclusion as...