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The study of the knowledge optimization tool
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ACM/SIGEVO Summit on Genetic and Evolutionary Computation archive
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation table of contents
Shanghai, China
SESSION: Full papers table of contents
Pages 443-450  
Year of Publication: 2009
ISBN:978-1-60558-326-6
Authors
Akira Otsuki  The University of Keio, Tokyo, Japan
Kenichi Okada  The University of Keio, Tokyo, Japan
Sponsors
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this study, a tool was constructed that supports the process of tying to organize knowledge newly created after tacit knowledge has been optimized by applying knowledge management strategies, 3C("Customer", "Company" and "Competitor" Analysis), a marketing mix, and various enumeration methods. The tool was verified by quantitative methods, user feedback studies, and evaluation through comparison with similar tools. Until now, though some theories regarding the organization of newly created knowledge have been advocated based on user feedback studies, the method of concretely applying such theories to real-world business circumstances has not been presented. In the current study, the tool was tested through use in an actual administrative project and proved to be more effective than an already-existing tool used for the organization of newly-created knowledge.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Akira Otsuki: colleagues
Kenichi Okada: colleagues