Connecting informal networks to management of tacit knowledge

The relationship between tacit knowledge and informal networks has not been fully explored.Tacit knowledge cannot be well managed directly,because it is deeply embedded in individual actions and experiences.This study proposes an approach to managing informal networks as a new middle way to facilitate the sharing and transferring of tacit knowledge,owing to the fact that tacit knowledge is mostly shared and transferred through informal networks.To support the idea of the approach,an empirical case study of applying the approach to management of a large scientific project is also included.Our findings suggest that informal networks play essential roles for management of tacit knowledge,and thus good management of informal networks can lead to efficient sharing and transferring of tacit knowledge.     

Knowledge-scientific evaluation of community service systems

This paper proposes a knowledge-scientific approach to evaluation of community service systems from the viewpoints of knowledge creation, consciousness reform, and value co-creation. A concrete example of the community service system treated here is an education program for old men to find their reason for living after the retirement. After introducing this program and the traditional evaluation methods for such a program, the paper emphasizes the necessity of developing new evaluation methods for such a community service system based on knowledge science. The paper proposes a new evaluation framework and reports an actual evaluation result using the interview data from participants in that program.     

A CLUSTERING ALGORITHM FOR MIXED NUMERIC AND CATEGORICAL DATA

Most of the earlier work on clustering mainly focused on numeric data whose inherent geometric properties can be exploited to naturally define distance functions between data points. However, data mining applications frequently involve many datasets that also consists of mixed numeric and categorical attributes. In this paper we present a clustering algorithm which is based on the k-means algorithm. The algorithm clusters objects with numeric and categorical attributes in a way similar to k-means. The object similarity measure is derived from both numeric and categorical attributes. When applied to numeric data, the algorithm is identical to the k-means. The main result of this paper is to provide a method to update the “cluster centers“ of clustering objects described by mixed numeric and categorical attributes in the clustering process to minimise the clustering cost function. The clustering performance of the algorithm is demonstrated with the two well known data sets, namely credit approval and abalone databases.     

AGENT-BASED SIMULATION FOR KANSEI ENGINEERING： TESTING A FUZZY LINEAR QUANTIFICATION METHOD IN AN ARTIFICIAL WORLD

This paper argues that agent-based simulation can be used as a way for testing Kansei Engineering methods which deal with the human reaction from sensory to mental state, that is, sensitivity, sense, sensibility, feeling, esthetics, emotion affection and intuition. A new fuzzy linear quantification method is tested in an artificial world by agent-based modeling and simulations, and the performance of the fuzzy linear method is compared with that of a genetic algorithm. The simulations can expand people＇s imagination and enhance people＇s intuition that the new fuzzy linear quantification method is effective.     

Knowledge reconstruction and justification for regional vitalization

This paper considers the regional vitalization problem and discusses the methodology to create regional vitalization plans, which include activating the local economy, enriching people＇s lives, and activating the feelings of people, by new initiatives. Activily underlying the methodology is the experience of implementing several actual projects with the local residents, and theory underlying the methodology is the knowledge construction and justification theory based on knowledge management and systems thinking. Introducing an actual vitalization project as an illustrative example, the paper proposes a knowledge reconstruction and justification procedure for regional vitalization.     

互联网上的投资组合选择

讨论基于Internet(Browser/WebServer方式)的投资组合选择系统.首先简要地介绍了Markowitz投资组合理论以及互联网上构建投资组合的意义,接着分析构建投资组合的几种基于Browser/WebServer的系统和给出网上投资组合系统的一个应用实例,最后提出在互联网上构建投资组合值得关注的几个问题.     

SYSTEMS METHODOLOGY AND MATHEMATICAL MODELS FOR KNOWLEDGE MANAGEMENT

This paper first introduces a new discipline knowledge science and the role of systems science inits development. Then, after the discussion on current trend in systems science, the paper proposes anew systems methodology for knowledge management and creation. Finally, the paper discussesmathematical modeling techniques to represent and manage human knowledge that is essentiallyvague and context-dependent.     

Knowledge synthesis in technology development

This paper introduces a knowledge construction model called the i-System for knowledge integration and creation and its relation to the new concept of the Creative Space. The five ontological elements of the i-System are Intelligence, Involvement, Imagination, Intervention, and Integration corresponding to five diverse dimensions of the Creative Space. The paper discusses the meanings and functions of these dimensions in knowledge integration and creation, and presents applications of the i-System to technology roadmapping and archiving.     

ESTABLISH A CREATIVE ENVIRONMENT FOR ROADMAPPING IN ACADEMY—FROM THE PERSPECTIVE OF I-SYSTEM METHODOLOGY

Roadmapping,originated from industry as a strategic planning tool,is attracting increasing applications in academy.Based on the recognition that roadmapping is a knowledge creation process, this paper analyzes what kind of support is needed or helpful for establishing a creative environment for roadmapping in academy and reviews various types of such support from the perspective of i-system methodology.As case studies of such support,this paper further introduces roadmapping pratices in Janpan Advanced Institute of Science and Technology.