• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.1
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• pp.301-331
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• 2011

This study aims at investigating ways to enhance the efficiency of knowledge management systems in research institutes. This study analyzes the current state of knowledge management systems, changes in users' perception, and the use of knowledge management systems in Daedeok Science Park, and suggests improvement measures. This study reviews previous studies and employs a survey for case studies. This study also conducts log data analysis of knowledge management systems to investigate the current state of system use. The questionnaire asks about the interest in knowledge management, evaluation and rewards of knowledge contribution, quality of knowledge, and the level of utility. This study tests hypothesis and analyzes the frequencies. This study finds that the interest and use of knowledge management system have been remarkably dropped, and also reveals that maintaining reward systems and diverse rewarding systems are required.

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

• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.273-277
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• 2007

Ubiquitous computing environment accelerates the advent of the IT Ecosystem. In the coming generation, a massive number of ubiquitous devices and services are converged into an ultra-large-scale system. In this context, high degrees of complexity and organization change the paradigm of knowledge and its management levels. The objective of this paper is to explore the Knowledge Management Systems in view of demands in ultra-large-scale systems. We introduce motivation for Next-Generation (NG) usage and their upcoming requirements. The possible applications will be discussed, and summary of different techniques are conducted. The tools and techniques that allow KMS to operate as "Vital Success Enabler" to achieve organizational benefits will be examined. Potential future directions for research are highlighted: these include advances in knowledge capture, storage / retrieval and sharing techniques, in particular with the surrounding role of information technology.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.04a
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• pp.153-156
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• 2005

In this paper, a framework for implementing UFIS (Unified Fuzzy rule-based knowledge Inference System) is presented. First, fuzzy clustering and fuzzy rules deal with the presence of the knowledge in DB (DataBase) and its value is presented with a value between 0 and 1. Second, RDB (Relational DB) and SQL queries provide more flexible functionality fur knowledge management than the conventional non-fuzzy knowledge management systems. Therefore, the obtained fuzzy rules offer the user additional information to be added to the query with the purpose of guiding the search and improving the retrieval in knowledge base and/ or rule base. The framework can be used as DM (Data Mining) and ES (Expert Systems) development and easily integrated with conventional KMS (Knowledge Management Systems) and ES.

• Journal of Distribution Research
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• v.4 no.2
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• pp.93-115
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• 1999

The main purpose of this study is to develop a framework of knowledge management and knowledge management systems(KMS) for retail firms. The framework of knowledge management developed in this paper is based on six components: knowledge worker, KMS, leadership of CEO, knowledge management strategy, culture, evaluation and reward systems. The knowledge management process can be divided into four stages: preparation stage, initiation stage, expansion stage and completion stage. The major activities performed to implement effective knowledge management are also identified for each stage. The knowledge base of KMS for retail firms should store three types of knowledge: knowledge for management activity, knowledge for management activity, knowledge for strategic analysis, and knowledge for problem solving. Finally, the technical characteristics of KMS are also examined in terms of information technology.

• The Journal of Society for e-Business Studies
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• v.10 no.3
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• pp.111-134
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• 2005

Knowledge management is a core factor to achieve competitive advantage and improve the business performance. New information technology is also a core factor enabling the innovation of knowledge management. Semantic Web of which the goal is to realize machine-processable Web can't help affecting the knowledge management. Therefore, we empirically analyze the relationship between user's dissatisfaction and barriers or limitations of knowledge management and present methods allowing Semantic Web to overcome the limitations and to support knowledge management processes. Based on a questionnaire survey of 222 respondents, we found that the limitations of system qualities such as user inconvenience of knowledge management systems, search and integration limitations, and the limitations of knowledge qualities such as inappropriateness and untrust significantly affected the user dissatisfaction of knowledge management systems. Finally, we suggest a conceptual model of knowledge management systems of which components are resources, metadata, ontologies, and user & query layers.

• Knowledge Management Research
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• v.18 no.3
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• pp.231-246
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• 2017

As an interest in the efficiency of public sector expenditures has spread across the world, Korea has operated a self-evaluation system for government projects as a part of the performance-based budget system. However, an evaluation system for public information technology project has been criticized for its lack of validity, which stems from the uniformity of performance management. This study draws insight from knowledge management literature in an attempt to address the problems with the extant performance evaluation system in public agencies. To realize benefits from IT investment, an agency needs to develop its own performance management model for information systems projects, with a focus on the interaction of IT and organizational system. The knowledge management-based framework for IT projects was verified through a case study, with which we discussed the applicability of knowledge management to the evaluation of public information systems projects.

• Asia pacific journal of information systems
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• v.14 no.3
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• pp.57-75
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• 2004

The knowledge management is increasingly an important strategic weapon for sustaining competitive advantage of firms. Firms are undertaking knowledge management initiatives and making significant investments. However, there is relatively little empirical support for the impact of knowledge management on performance of firms. Understanding of the impact of knowledge management, this paper explores how knowledge management strategy influences firms' market value. We examine this issue using event study methodology and evaluate the cumulative abnormal returns for knowledge management strategy announced by firms from 1998 to 2002. The results show that firms' announcements of knowledge management strategy are positively related with firms' market value. Specially, dynamic style-which emphasizes both (i) knowledge reusability through information technologies and (ii) knowledge sharing through informal discussions among employees-has higher performance. This outcome presents empirical support to argument that the emphasis on both tacit and explicit knowledge results in better market value.

• Asia pacific journal of information systems
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• v.14 no.1
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• pp.125-142
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• 2004

Knowledge management has been increasingly recognized as important in business management context. Although knowledge management has been proposed as an enabler to reach competitive advantage, little research has considered applying knowledge to business decision-making activities, which may be the main task of enterprise management. The application of knowledge to decision-making has a more significant impact on organizational performance than mere knowledge management for operational level processing. For this purpose, the present study proposes a decision support loop based on the integration of knowledge by adopting a cognitive modeling approach. The proposed model is then discussed, in the real context of an application case.

• Information Systems Review
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• v.3 no.2
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• pp.245-260
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• 2001

While past knowledge management researches have focused on conceptualization and strategic implications, knowledge asset researches attempt to provide practical guidelines for companies. However, each research classifies knowledge asset from its own perspective, and thus it is not a trivial task to leverage consistent and inclusive criteria in managing corporate knowledge asset. The objective of this paper is to develop a knowledge asset classification schema on the basis of the three business functions: customer relationship management, product innovation, and infrastructure management. To demonstrate the feasibility of our schema, it has been applied to 9 Korean corporations. Knowledge assets are evaluated according to core capabilities, which are main drivers of sustainable competitive advantages. The results of case study show that the leveraged classification schema reflects current knowledge asset management and characteristics of corporations. Our finding is that most top-quality knowledge management corporations are likely to develop well-balanced knowledge asset.