The Journal of Science Policy and Research Management
Online ISSN : 2432-7123
Print ISSN : 0914-7020
The Analysis of Quantitative Value of Prior Art Search using Bayesian Decision Theory
Gen ABIKO
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2012 Volume 26 Issue 1_2 Pages 98-105

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Abstract
In this study I proposed scheme to analysis quantitative value of prior art search using Bayesian decision theory. I focused on two risk parameters 1) strategic advantage about element technology, 2) patentability of element technology. It was found from the result that these two risk parameter are closely connected with quantitative value of prior art search. And especially I found that the more unclear 1) strategic advantage about element technology and 2) patentability of element technology, the higher quantitative value of prior art search. These results lead us to the conclusion that we can explain the importance of prior art search from quantitative point of view.
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2012 Japan Society for Research Policy and Innovation Management
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