• The Journal of Information Systems
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• v.21 no.3
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• pp.45-70
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• 2012

Based on the usage levels of target costing systems(TCS) and information technology (IT) infrastructure, this study aims to develop a framework useful for classifying four types of knowledge management(KM) strategies in manufacturing firms: process-oriented, product-oriented, mixed and negative. We adopted a multi-methodological approach by mixing both qualitative and quantitative methods. Before developing a framework, through a case study of the H Motor Company in Korea, this paper investigated and showed the functions of TCS in the management of tacit knowledge. The results from the case study indicated that with the use of TCS, a firm can create, transfer, and share diverse kinds of tacit knowledge among employees for the facilitation of process innovation. We also empirically confirmed the four types of KM strategies, and demonstrated the characteristics(i.e., size, total sales, age, and knowledge intensity) of the organizations adopting each strategy.

• 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.

• Information Systems Review
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• v.2 no.1
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• pp.13-23
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• 2000

• Journal of the Korean Institute of Intelligent Systems
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• v.8 no.6
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• pp.70-77
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• 1998

Although many methods of knowledge acquisition has been developed in the exper systems field, such a need form causal knowledge acquisition hs not been stressed relatively. In this respect, this paper is aimed at suggesting a causal knowledge acquisition process, and then investigate the causal knowledge-based inference process. A vehicle for causal knowledge acquisition is FCM (Fuzzy Cognitive Map), a fuzzy signed digraph with causal relationships between concept variables found in a specific application domain. Although FCM has a plenty of generic properties for causal knowledge acquisition, it needs some theoretical improvement for acquiring a more refined causal knowledge. In this sense, we refine fuzzy implications of FCM by proposing fuzzy causal relationship and fuzzy partially causal relationship. To test the validity of our proposed approach, we prototyped a causal knowledge-driven inference engine named CAKES and then experimented with some illustrative examples.

• Knowledge Management Research
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• v.3 no.1
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• pp.1-18
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• 2002

Many organizations implement knowledge management initiates by developing knowledge management systems. This study aims at investigating knowledge sharing behaviors in a knowledge management system and identifying factors affecting such behaviors. To do this, we defined knowledge sharing behaviors in a knowledge management system as registration and view of knowledge at a system. Based on this definition, we established a research model by identifying seven factors affecting both behaviors as independent variables: Learning orientation, Pressure to share knowledge, Top management support, Reward for knowledge sharing, Level of experience in IT, System quality, and Knowledge quality. The 14 hypotheses derived from a research model were tested by a correlation analysis and a multiple regression analysis with data from 165 respondents of the 21 organizations which implemented knowledge management initiatives. As results, both of knowledge registration and knowledge review were strongly affected by the learning-orientedness of an organization. Finally, we discussed results and limitations of this study.

• Information Systems Review
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• v.1 no.1
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• pp.137-163
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• 1999

• Knowledge Management Research
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• v.7 no.2
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• pp.53-68
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• 2006

Knowledge has become an important resource for organization. The manufacturing industry is usually operated on the basis of business processes, and most workers are familiar with their own processes. The process-based approach, therefore, can provide an efficient way to capture and navigate knowledge. In this study, we focus on knowledge which may be missed during knowledge transfer among workers. For this, we propose a method for analyzing knowledge flow, which is passed among business processes. We propose a process-based knowledge management framework for analyzing knowledge flow, which employs a two-phase analysis: process analysis and knowledge flow analysis. A knowledge flow model, represented by Knowledge Flow Diagram, is proposed as a tool for representing knowledge. We formulate several semantics for knowledge flow modeling. We build the three-level schema: conceptual, logical, and physical in order to automate the knowledge model adaptive to knowledge management systems. The proposed approach is verified and illustrated through a case study on the manufacturing process of A Company.

• Asia pacific journal of information systems
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• v.32 no.1
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• pp.151-167
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• 2022

This paper is motivated by social influence theory implying the multilevel nature of knowledge management (KM) in an organization. Organizational knowledge is generated and distributed by individuals from different groups across organizational boundaries. Its transfers are supported by IS/IT practice, i.e., the individual and collective use of the technology available in the organization. I propose a multilevel perspective to explain how IS/IT practice supports multilevel KM capabilities to manage organizational knowledge successfully and how the effectiveness of multilevel KM capabilities expands into the improvement of multilevel task-related organizational performance. The multilevel KM theory extends the knowledge-based view of the firm by describing the dynamic process through which strategic values of knowledge are generated by IS/IT practice across the organizational levels. This paper also discusses multilevel insights on the strategic value of organizational learning based on the social context of organizations.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.4
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• pp.554-561
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• 2010

As a fundamental knowledge source in a global learning environment, it is feasible to apply the relational database management systems (RDBMS), object-oriented database management systems (OODBMS), and other traditional DBMS. However, the traditional DBMSs are not feasible in semantic knowledge/ontology representation and inference. One of the reasonable ways to overcome the limitations is the semantic web-based business support framework. Especially, in this study, we focused on the development of semantic web ontology and natural language (NL)-based inference framework. To validate the efficiency of the proposed framework, we considered a reasonable scenario for course recommendation in a university.

• Asia pacific journal of information systems
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• v.15 no.3
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• pp.9-39
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• 2005

Recently, knowledge transfer has been recognized as one of the major factors for success of IT projects but little investigated in Information Systems research. IT project, which needs collaboration between organization's IT project team and external partner, is an critical source for a firm to acquire external knowledge and to achieve its competitive advantage. Based on this recognition on knowledge transfer under IT project, we investigate a mediation role of knowledge transfer to IT project performance after identifying its antecedents such as project team capabilities and partner capabilities. The research model is tested by analyzing 161 sample data gathered from firms' employees who have participated IT projects within last two years. The results reveal that knowledge transfer has full-mediation effect between its antecedents and IT project performance. Moreover, project team capabilities have more impacts on knowledge transfer than partner capabilities do.