<b>Management Principles for Knowledge Creation System: A Case Study </b>

Abstract

: This study discusses management principles which provides computational aid to management including monitoring, analysis and navigation of knowledge creators activities. Firstly, it attempts to identify two management principles based on the Ontological Shift Model, and give three indicators to diagnosis knowledge creation projects. Boom-ups are indicator of enablers, slip-downs are indicator of barriers, and social-network are indicator of "Ba". This proposition is verified based on real case in Company K, an global Japanese company with over hundreds of years history and leading company in the industry. Since knowledge is defined as "information" and "people's judgement to information", both information and knowledge creator's activities are expected to be managed in a knowledge system efficiently. Information could be processed to trash and also could be processed to be knowledge. The only difference is how the knowledge creators can efficiently analyze and rebuild new information which we can call it the knowledge without errors and mistakes. Current IT technology gave two efficient tools for knowledge creation: the "SNS", hereby is capable to describe knowledge network and illustrate people connections, and the "data mining" is well implemented in information society for digging out knowledge from "BIG data". In this research, computer cognizable principles is presented based on the ontological shift model, to provide algorithms in manage knowledge creation activities with computer aids. The validation of our proposal and associated knowledge creation system is supported by real company case.