This paper describes a Bayesian model-discrimination procedure which determines for each consumer the stochastic model of brand choice which is best supported by his purchasing behavior. The Bayesian technique is illustrated by means of two Markov models and two Bernoulli models. We first...

Several versions of a mathematical programming model which determines attribute weights for each consumer are empirically eavluated using data on dry cereals and automobiles. The model is found to be a good predictor of consumer preferences, particularly for dry cereals. Managerial implications...

This paper describes a simulation model of capital budgeting under uncertainty. It analyzes the effects of two types of uncertainty which influence the cash flows of the potential investment projects. Techniques of simulation and stochastic linear programming (using Weingartner's Basic Horizon...

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This paper discusses recent advances in the study of salesforce motivation and compensation. Special emphasis is given to quantitative approaches from the economics, finance, and marketing literatures. The paper summarizes the findings in this analytical work in the context of some examples of...

This research empirically examines the influence of psychological safety on knowledge sharing among coworkers in manufacturing and service operations contexts. Reconciling conflicting findings in the literature, we demonstrate that whereas psychological safety is an important antecedent of...

Cooperation and coordination among employees can yield significant productivity gains. In this study, we explore the design of optimal incentive systems that induce task-related effort, helping, and knowledge sharing within workgroups. We identify three distinct types of employee linkages that...