In the knowledge-based society, there is no question that the production and utilization power of valuable knowledge becomes the resource for competitiveness. In modern days, the influence of rapid technical advancement of ICT and others in knowledge production and utilization cannot be ignored. The know-hows or techniques of knowledge production and utilization of today have been proposed in various ways based on experience, however, the proposals so far are limited to the aspects easy to approach technically with narrow applicable range and no scientific evidence. The knowledge required for the technology useful for production and utilization is the scientific understanding which eyes on and targets the dynamism of the human and organization intending to produce and utilize knowledge, and the technologies with which the human and organization who have a variety of demands can handle proactively. The construction of this scientific system is difficult, however, and it is necessary to carry out this challenge strategically in order to directly access the resource of the competitiveness.
Up to now, the research on knowledge production and utilization can be categorized into two large flows. One is the research on the human and organization relating to the collective knowledge creation in human organizations. In this approach, theory construction has been made based on step-by-step case studies and observations. The other approach is the research on applying information processing technology using computer for knowledge production and utilization. This approach is based on the information processing technology using computers and has contributed to the development of machine learning, data mining, the application of statistical mathematical science, and the research of algorithm. However, the two research flows described above have been handled separately by respective researcher's communities of different "field" for their academic concern.
If the science for producing and utilizing knowledge can be created by integrating these two flows, the knowledge required in the real world is expected to be produced and utilized in the integration process. The frontier of new scientific technology, driven by social needs, can be opened up through the integration across the existing research fields.