The Journal of Science Policy and Research Management
Online ISSN : 2432-7123
Print ISSN : 0914-7020
Preface
Effective Management of Trial & Error
Kiyoshi NIWA
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2018 Volume 33 Issue 3 Pages 212-215

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Abstract

Trial & error is the key process of innovation, as well as invention & discovery, R&D, and new business development. This article emphasizes the importance of improving the management of trial & error processes. Based on discussing actual trial & error practices, it presents effective management guidelines for issues in trial & error: 1) criteria of letting human or AI (Artificial Intelligence) does trial & error, 2) how to cooperate human with AI, 3) how to organize human group, and 4) how to implement trial & error management in hierarchical organizations.

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2018 Japan Society for Research Policy and Innovation Management
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