Getting results from your MRP system

The many installed MRP systems have not been universally successful. A study of companies using MRP reveals just how the system should be implemented to achieve its full potential.     

Sensitivity of new industrial product risk to R&D incentives

Incentives for research and development have frequently been a feature of government policy to increase the level or alter the direction of new product development activity in industrial product companies. Conceptually, these incentives may be viewed as "risk-modifiers they may encourage managers to undertake innovation projects where the potential payoffs may be attractive, but where some dimensions of risk are perceived as too high to proceed. This research explores the sensitivity of different dimensions of risk faced by managers to incentives of different kinds, at different levels. Implications are cited for different types of R&D incentives aimed at these different dimensionsof risk.     

Profit oriented and decision time market segmentation

The authors report a refinement of their Survey Implemented Market Segmentation (SIMS) algorithm that adds decisiontime implementation by retailers. The analysis incorporates more completely the complexity of practical market segmentation policy alternatives. Two retailing executives aided in classifying variables that characterize potential market segments in terms of their temporal implementability. The result is an ability to formulate a segmentation policy applicable to long-range, medium-range, or short-range planning horizons.     

The effect of limited information and estimation risk on optimal portfolio diversification

This paper analyzes the optimal portfolio choice problem when security returns have a joint multivariate normal distribution with unknown parameters. For the case of limited, but sufficient (sample plus prior) information, we show that for a general family of conjugate priors, the optimal portfolio choice is obtained by the use of a mean-variance analysis that differs from traditional mean-variance analysis due to estimation risk. We also consider two illustrative cases of insufficient sample information and minimal prior information and show that in these cases it is asymptotically optimal for an investor to limit diversification to a subset of the securities. These theoretical results corroborate observed investor behavior in capital markets.