• Knowledge Management Research
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• v.3 no.2
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• pp.31-48
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• 2002

Recent trend of business is characterized by a recognition of importance of knowledge asset. Especially, this phenomenon is receiving more momentum as our society goes digital rapidly. However, most of literature on knowledge management is based on knowledge circulation from the corporate point of view, not from individual viewpoint. In this regard, this paper is concerned with proposing knowledge circulation process and its efficiency from the individual perspective. We adopted structural equation model or SEM to prove the statistical validity of our research framework. Eight hypotheses were built and tested empirically, leading to the fact that the knowledge utilization and sharing of individuals have a positive impact on the knowledge management efficiency.

• Journal of Agricultural Extension & Community Development
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• v.13 no.2
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• pp.385-400
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• 2006

The study aims to explore the rural extension specialist's role and capacity of knowledge management (KM) extension service in the knowledge based society. According to major findings through previous study and literature review, the followings were concluded. Rural extension educator's role and ability of knowledge management composed four processes by the stage of knowledge process: knowledge creation-knowledge storage-knowledge utilization-knowledge share. As a adoption of the knowledge management in rural extension service, at the knowledge creation the rural extension educator's role of KM are four roles which needed fourteen abilities to carry out them successfully. For at the knowledge storage the rural extension educator's role of KM are eight roles which needed eight abilities to carry out them successfully. For at the knowledge utilization the rural extension educator's role of KM are eight roles which needed ten abilities to carry out them successfully. Lastly for at the knowledge sharing the rural extension educator's role of KM are nine roles which needed 8 abilities to carry out them successfully.

• Knowledge Management Research
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• v.15 no.2
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• pp.129-145
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• 2014

As a community of practice (CoP) is known to facilitate team learning, it is increasingly important to understand the mechanisms of CoP, thereby enabling organizations to fully utilize it and optimize its benefits. To explain how CoP improves organizational performance, we focus on its effects on social capital and knowledge management activities, and propose a research model suggesting that shared goals and trust in CoP improve its performance through knowledge integration. Our analysis uses structural equation modeling, with field data collected from 372 members of 46 CoPs in three companies; the analysis validates our research model. Our findings also suggest that CoP diversity can strengthen the link between knowledge integration and CoP performance.

• Knowledge Management Research
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• v.5 no.1
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• pp.69-82
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• 2004

Prior research on knowledge management focused more on the experiential knowledge based on individual's experience or knowhow than on the analytical knowledge extracted from corporate data. This study examines the effects of the data warehouse technology, especially OLAP(on line analytical processing) and data mining techniques, on the analytical knowledge creation in organizations, linking analytical knowledge creation to data analysis method through real world case studies.

• Korean Management Science Review
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• v.12 no.3
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• pp.135-161
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• 1995

This paper is concerned with a conceptual design of a knowledge-based modeler for network analysis. The "knowledge-based modeler" approach is suggested as a method for incorporating the user's qualitative knowledge and subjective decison in the course of the mathematical modeling and the subsequent solution procedure. The submodules of the proposed modeler such as database, model/algorithm base and functional knowledge bases are identified and the flows of information between the submodules are sequentially defined. A prototype system is implemented for experimental purpose by using the application software GURU.ware GURU.

• Knowledge Management Research
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• v.12 no.4
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• pp.55-75
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• 2011

Scant attention has been given to analyzing how knowledge sourcing strategies affect firm performance in SMEs and what are the differences between SMEs and large firms in the patterns of knowledge sourcing strategies adoption. This study attempts to advance the current literature by examining the impact of knowledge sourcing strategies on SMEs performance. The empirical segment of our work is based on data on knowledge sourcing strategies of SMEs and organizational performance from a sample of 166 Korean firms. Our results indicate knowledge sourcing adoption patterns of SMEs are different from large firms. In addition, the results confirm that substitutability between internal- and external-oriented, person- and external-oriented sourcing strategies. This study sheds new light on knowledge management (KM) research by identifying the relationship between knowledge sourcing strategies and SMEs performance.

• Journal of Intelligence and Information Systems
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• v.11 no.2
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• pp.123-149
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• 2005

What the structure of knowledge management capability (KMC) to improve the organizational performance is an important issue for researchers and practitioners with growing interest in recent years. In this paper, we begin with a deep thinking about the resource-based view and knowledge-based view of the firm applying to knowledge management issues. By exploring the two underlying theories of knowledge management, together with an intensive review and interpretation of existing literatures, we obtain six major dimensions of KMC. We then propose an integrated conceptual model of KMC and its relationship with organizational performance. A PLS analysis of the gathered data from organizations in Korea which already have enterprise-wide knowledge management systems is conducted to validate the proposed model. We discuss several meaningful implications and draw several insightful conclusions surrounding the KMC.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.271-275
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this Purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between $0\∼1$. Second, RDB and SQL(Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS(Knowledge Management Systems)

• International Commerce and Information Review
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• v.10 no.4
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• pp.23-45
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• 2008

As Knowledge Management (KM) has taken an essential position of managing businesses in the knowledge-oriented society, many companies have adopted Knowledge Management System (KMS) into their organization. Many have questioned, however, in the result and the effectiveness in KMS. The purpose of this study is to explore ways to improve the current KMS by analyzing and identifying the causes that affect effectiveness of KMS. Blog which is an effective tool for communication could be used for KMS in order to make KMS more user friendly and more effective. This research is intended to conduct an empirical study on the differences between Blog-based KMS and Non-Blog-based KMS and suggest resolutions to potential issues of KMS. Blog-based KMS users show higher degree of satisfaction and usage toward their system. The result of this study suggests that the differences between two groups are primarily on system quality and knowledge quality, and many of these differences come from functions and characteristics of Blog.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.564-568
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• 2005

Recently, Knowledge Management (KM) has been applied to construction industry. Surprising, there is few studies that address the most fundamental problem in KM: people may prefer not to share their knowledge so as to preserve their intellectual or unique values in the organization. Without the premise of each individual's willingness to share knowledge, there will be no valuable input for the IT system and, thus, no knowledge management at all. This paper aims to model the behavioral dynamics of knowledge sharing and to design an incentive system that may facilitate knowledge sharing for construction companies. In this paper, a game-theory based model will be developed, and the framework for designing an incentive system will be proposed according to the model.