Title :
Toward the implementation of R&D resource allocation models
Author :
Radosevich, R. ; Hayes, Reginald L.
Author_Institution :
Vanderbilt Univ., Nashville, TN, USA
Abstract :
The allocation of organization resources to the R&D function remains one of the most complex and least rational decision processes of management. The purpose of this note is to examine the process and the implied attributes required of formal prescriptive models which will improve the process. Characteristics of the allocation problem are discussed briefly. This provides a rationale for listing those attributes which formal models should exhibit in order to contribute meaningfully to the rationality of the allocation process.
Keywords :
modelling; research and development management; R&D resource allocation models; decision processes; management; organization resources; Biological system modeling; Computational modeling; Data models; Portfolios; Resource management; Technological innovation; Uncertainty;
Journal_Title :
Engineering Management, IEEE Transactions on
DOI :
10.1109/TEM.1973.6448414