Document Type

Closed Project

Publication Date

Spring 2019


Ramin Neshati

Course Title

Decision Making

Course Number

ETm 530/630


Industrial research -- Governmental apsects, Industrial research -- United States -- Decision making, Industrial research -- South Korea -- Decision making, Industrial research -- Decision making, Hierarchical decision modeling


Many modern industrialized countries are expanding the national research capacity and promoting economic and social development through government R & D investment. However, due to the limited resources of the budget, the decision on how much to invest in which sector is a sustainable task of R & D policy authorities.

This article explores the right direction of government R & D allocation through criteria-specific weighted evaluation of R & D allocation based on the opinions of universities, research institutes and government experts who have participated in government R & D funding. This article constructs a decision tree based on HDM, explore the R & D allocation standard that can be applied generally, weigh the criteria according to the situation in the US and Korea, and focus investment fields suitable for each country. As a result, the R & D investment areas of the two countries are not so different, but there are some differences due to environmental differences and policy differences in each country.

Since government R & D constitutes about 30% of the national R & D in most countries, it is very important to derive the optimal decision structure for government R & D, but many papers focus on the relationship between government R & D and private R & D, so various approaches to the government R & D decision structure will be needed in the future.


Note: This report is only available to students, faculty and staff at Portland State University.

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