• Knowledge Management Research
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• v.17 no.1
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• pp.91-111
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• 2016

This study empirically investigated the relationships between servant leadership and key variables (knowledge sharing and individual creativity), and the mediating effect of affective commitment with the survey of 213 Korean employees. Based on the sample of 213 employees, the empirical results are as followings; (1) Servant leadership is positively related to affective commitment, knowledge sharing, and creativity. (2) Affective commitment partially mediates the relationship between servant leadership and knowledge sharing. (3) Affective commitment partially mediates the relationship between servant leadership and creativity. In conclusion, this study confirmed that the servant leader and members with the affective commitment may be best qualified for knowledge sharing and creative performance. When employees recognize that their managers follow the characteristics of servant leadership, then the employees are more likely to absorb in their task, which increases creative performance and knowledge accumulation. Based on the results, this study suggests an ample implication for leaders in any organization to boost their relationships with followers and to enhance their knowledge sharing and creative idea for the growth of organization.

• The Journal of Society for e-Business Studies
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• v.5 no.2
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• pp.143-150
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• 2000

This paper presents a methodology how to utilize management of research scheduling plan, processing, and results using Web Knowledge Database System, which integrates research knowledge management model under the Research ＆ Development Environment. The content of this paper consists of description on utilization of the Web Knowledge Database System, sharing of the Research Knowledge through design data review, communications, and management of research knowledge flow during the Research ＆ Development Period.

• Knowledge Management Research
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• v.12 no.2
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• pp.69-80
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• 2011

This paper reports on a structural view of a knowledge network comprised of clubs and organisationsexpressly concerned with cultural activities in a regional Australian city. Social network analysis showed an uneven distribution of power, influence, and prominence in the network. The network structure consisted of two modules of vertices clustered around particular categories of creative arts and these modules were linked most frequently by several organisations acting as communication hubs and boundary spanners. The implications of the findings include 'network weaving' for improving the network structure and developing a systemic approach for exploring the structures of social action that form community-based knowledge networks.

• Information Systems Review
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• v.2 no.2
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• pp.231-244
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• 2000

• Journal of Intelligence and Information Systems
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• v.1 no.2
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• pp.57-71
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• 1995

This paper presents a rule extraction algorithm RE to acquire explicit rules from trained neural networks. The validity of extracted rules has been confirmed using 6 different data sets. Based on experimental results, we conclude that extracted rules from RE predict more accurately and robustly than neural networks themselves and rules obtained from an inductive learning algorithm do. Rule extraction algorithm for neural networks are important for incorporating knowledge obtained from trained networks into knowledge based systems. In lieu of this, the proposed RE algorithm contributes to the trend toward developing hybrid and versatile knowledge-based system including expert systems and knowledge-based decision su, pp.rt systems.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.400-409
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• 2001

In conceptual design of engineering devices, a designer decomposes a required function into sub-functions, so-called functional decomposition, using a kind of functional knowledge representing achievement relations among functions. However, such knowledge about functionality of engineering devices is usually left implicit because each designer possesses it. Even if such knowledge is found in documents, it is often scattered around technical domains and lacks consistency. Aiming at capturing such functional knowledge explicitly and sharing it in design teams, we discuss its systematic description based on functional ontologies which provide common concepts for its consistent and generic description. We propose a new concept named “was of achievement” as a key concept for capturing such functional knowledge. Categorization of typical representations of the knowledge and its organization as is-a hierarchies are also discussed. The generic concepts representing functionality of a device in the functional knowledge are provided by the functional concept ontology, which makes the functional knowledge consistent and applicable to other domains. We also discuss development of a design supporting system using the systematized knowledge, called a functional was server. It helps human designers redesign an existing engineering device by providing a wide range of alternative ways of achievement of the required function in a manner suitable for the viewpoint of each designer and then facilitates innovative design.

• Journal of the Society of Naval Architects of Korea
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• v.43 no.6 s.150
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• pp.700-706
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• 2006

As development of information technology, companies stress the need of knowledge management. Companies construct ERP system including knowledge management. But, it is not easy to formalize knowledge in organization. They experience that constructing information system help knowledge management. Now, we focus on engineering knowledge. Because engineering data contains experts' experience and know-how in its own, engineering knowledge is a treasure house of knowledge. Korean shipyards are leader of world shipbuilding industry. They have accumulated a store of knowledge and data. But, they don't have data mining tool to utilize accumulated data. This paper treats development of data mining tools for the utilization of shipbuilding knowledge based on genetic programming(GP).

• Korean Journal of Cognitive Science
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• v.13 no.1
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• pp.41-51
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• 2002

In this paper, I describe a knowledge-based question-answering system and significance of the system with a view to constructing a fact database. The knowledge-based system takes advantage of existing NLP-resources such as conceptual structures of ontologies along with morphotogical, syntactic and semantic analysis. The use of conceptual structures allows us to select right answers through inferences basically made by expansions of concepts. However, the work of constructing factual knowledge requires a great amount of acquisition time in large-scale applications because of the nature of human interference. This is why the procedure of acquiring factual knowledge cannot be fully automated. Apart from efficiency considerations. the knowledge-based system deserves serious consideration, I point out benefits of the system and describe the whole procedure of building the system in terms of a fact database.

• Nutritional Sciences
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• v.6 no.2
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• pp.118-126
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• 2003

To prevent food-borne diseases and ensure food safety, foodservice operators have been implementing the HACCP system in their facilities. Employees' knowledge of food safety can be improved through training and, as a result, their food safety behavior can be positively changed. A nonequivalent pretest and posttest control group model was designed to investigate the effectiveness of HACCP-based training on hospital foodservice employees' food safety knowledge and behavior, and to determine relationships between food safety knowledge and food safety behavior. The subjects used in this study were 84 hospital foodservice employees, assigned either to the intervention group (n=44) or the control group (n=40). Data were analyzed using the Statistical Package for the Social Sciences (SPSS). Descriptive statistics were computed, while the Student's t-test and ANCOVA (Analysis of Covariance) were used to investigate significant differences between groups, and the Pearson correlation was used to determine significant correlations. There were significant gains in both food safety knowledge and behavior, after the HACCP-based training. However, no significant correlation was found between food safety knowledge and food safety behavior. Based on this study we conclude that HACCP-based training is effective in improving both the food safety knowledge and food safety behavior of hospital foodservice employees.

• Philosophy of Education
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• no.52
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• pp.81-108
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• 2014

The purpose of this study was to investigate critically the existing educational contents and methods on knowledge uncombined with our lives and to explore directions for the integration of educational contents and methods on practical knowledge. For this, firstly, this study selected and analyzed Traditionalism and Progressivism as exclusively opposite approach to education, in particular, the aspect of contents and methods. Next, it explored to define Dewey's activity-based inquiry process. Finally, it showed that the educational contents and methods could not be separated in Dewey's activity-based inquiry process. As a result, educational contents and methods in educational practice were experiences as things integrated. Therefore, knowledge for education has been emphasized as meaningful results that learners have experienced. Once the learners recognize the value and meaning of knowledge, they will be able to internalize the genuine knowledge, moreover they will be self-directed learners. In other words, if learners could discovered their own meaning and value of knowledge in the inquiry process, they have sustainable needs, trying to be involved in the new process based on the knowledge they earned.