• Journal of Korean Society for Quality Management
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• v.28 no.3
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• pp.145-154
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• 2000

Effective management of knowledge is essential to keep up with demands of this challenging information age. The first step for this kind of management would be to define indicators to evaluate the quality of knowledge. In this paper, we use five latent variables (intrinsic quality, representational quality, ease of use of quality, maintainable quality, usage of quality) as basis for a preliminary path analysis for knowledge management. Preliminary study results showed that high intrinsic quality does not necessarily guarantee high frequency of use. A modified questionnaire is made and is used for SERVQUAL. The result of SERVQUAL shows that customers are not relatively happy about both intrinsic quality and its ease of use. Additional path analyses are done for both expected and observed quality indicators. The path model based on the expectation indicated that the presentation method of knowledge would induce its easy maintenance while that based on observation did not back up the same phenomenon.

• Knowledge Management Research
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• v.1 no.1
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• pp.127-137
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• 2000

Effective knowledge sharing and creating requires human networking as well as system. Corporation 'S' organized 'community of practice(CoP),' which is a virtual group based on work process, skill, and interest. The purpose of this study is to suggest effective CoP establishment and implementation methods, based upon 'S' experience. The effective methods this study suggests are : setting up clear CoP objectives by each CoP; dual CoP system with career centered and subject centered; alignment with business strategy; guide by knowledge integrator, and professional competence development as CoP purpose. Key success factors to CoP activities also include effective communication, facilitators' competency, and managers' support.

• Journal of the Korean Society for information Management
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• v.7 no.2
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• pp.35-57
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• 1990

Knowledge-based system is interpreted from the viewpoint of library and information science, and the concept of knowledge is defined in relation to information and data. Knowledge representation techniques are illustrated with examples from intelligent information retrieval systems and expert systems developed in library and information science field.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.227-230
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• 2006

Resources on knowledge and information has been acknowledge as national competitiveness in Knowledge-based Information Society. For systematic digitalization, consistent management and application of such resources of a nation, necessity for charging for knowledge-based information resources has been frequently raised. This study has suggested appropriate ways for charging for information and knowledge resources in science and technology and has established charging system by deducing reasonable charging method, information usage fees and payment method for chargeable databases.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.714-719
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• 2005

In this paper, the informative space is proposed to implant ubiquitous functions into physical spaces. We merge physical and virtual spaces through the space structurization using an RFID system, and solve the space localization and mapping problem for a robot to navigate through the distribution and synthesis of information and knowledge. To distribute knowledge flexibly and reliably to changing environment and also to develop a system which allows a robot to invoke and merge the distributed knowledge more freely, we employ a novel approach of knowledge management based on Web services. The proposed method is verified by building a physical space with two kinds of RFID tags and a virtual space with knowledge database based on Web services.

• Journal of the Korean Data and Information Science Society
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• v.6 no.2
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• pp.17-27
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• 1995

We propose a framework for representing and processing uncertain knowledge on the basis of constraint satisfaction. A system of equations and/or inequalities can be considered as a set of constraints that should be solved, and each constraint in the set is transformed into a corresponding logical formula which can be solved through a constraint solving program. Most of rule-based systems, for instance, use a simple probabilistic theory in order to maintain uncertain knowledge, therefore uncertain knowledge can be represented and processed in the constraint satisfaction program quite efficiently.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.1253-1256
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• 2003

These days, companies have to process enormous information and knowledge to satisfy desire of customers. The mere storage of them is no longer a significant problem because of the immense progress information technology has made during the past years and decades. It is important to deliver the right piece of information to the right person at the right time. Consequently, Knowledge management which supports the exchange of relevant information within company organization structure is of special interest for current enterprises. To solve this problem, a concept of the Knowledge management system is introduced in this paper based on the ontology technology. An ontology can describe all relevant information about documents, products, organizational structures or the users, their interests and experiences and be understood by everybody.

• The Journal of Society for e-Business Studies
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• v.7 no.1
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• pp.75-86
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• 2002

In this study, we proposed design issues and structure of a web mining system and develop a system for the purpose of knowledge integration under world wide web environments resulted from our developing experiences. The developed system consists of three main functions： 1) gathering documents utilizing a search agent; 2) determining similarity coefficients between any two documents from term frequencies; 3) clustering documents based on similarity coefficients. It is believed that the developed system can be utilized for discovery of knowledge in relatively narrow domains such as news classification, index term generation in knowledge management.

• Knowledge Management Research
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• v.17 no.1
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• pp.135-154
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• 2016

Absorptive capacity has been increasingly thought of as a potential source of innovation. From the knowledge management perspective, absorptive capacity is composed of a set of activities dealing with acquisition, assimilation, transformation, and exploitation of external and internal knowledge. This study investigates what relationship the absorptive capacity of individuals who have technical knowledge in the organization has with process innovation and product innovation. Mobile based survey was conducted from the employees working for the largest electronics manufacturer in Korea. The analyzed data was based on 156 responses from 199 participants. The analysis result shows that four phases of absorptive capacity such as acquisition, assimilation, transformation and exploitation have different effects on process innovation and product innovation, respectively. Specifically, transformation is found to be most critical in leading to innovation.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.635-636
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• 2006

A knowledge-based system with CAD is widely used to implement a designer's know-how and a routine calculation within a system. An engineer needs to change several design parameters in an early design stage. However it is not easy to change the design parameters when it needs to update an existing model and data. In this paper, a module has been proposed to make it easy to change the design parameter so that the engineer can easily update and change the design model. Also a flexible interface of the module can easily add or extract the design knowledge.