• Title/Summary/Keyword: explicit knowledge

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Systems Thinking on the Dynamics of Knowledge Growth - A Proposal of Dynamic SICI Model -

  • Kim, Sang-Wook;Lee, Bum-Seo
    • Korean System Dynamics Review
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    • v.6 no.2
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    • pp.5-23
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    • 2005
  • This paper investigates a dynamic mechanism underlying the process of knowledge creation and evolution with a focus on the SECI model(standing for Socialization, Externalization, Combination, Internalization) as proposed by Nonaka and Takeuchi(1991) and broadly accepted especially among the practitioners in knowledge management field. The SECI model provides with intuitive logic and clear delineation of knowledge types between the tacit and the explicit, and embodies an interaction dynamic. However explanations of the propelling forces for the knowledge transfer over the four quadrants of the model is yet to be made. And the transmission mechanisms are not prescribed though the model mentions knowledge is created and evolved in a spiral process. This paper, therefore attempts first to extend and elaborate it into a dynamic SECI model by identifying those propelling factors and their relationships(linkages) based on the systems thinking.

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The Effect of Information Technology on the Knowledge Management Activity from MANDO and POSCO (정보기술이 지식경영활동에 미치는 영향: 만도와 포스코 사례를 중심으로)

  • Choi, Eunsoo
    • Knowledge Management Research
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    • v.9 no.2
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    • pp.169-191
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    • 2008
  • Information technology instruments arc being rampantly used for knowledge management in companies. IT is used as an interplay tool to enhance the flow of knowledge and information between people. KMS, especially, supports the knowledge management process including sharing, creating, and using of knowledge within a company, and maximizes the value of knowledge resources within an organization. The purpose of this paper is to understand how IT is changing the knowledge management activity. through various examples based on exploratory research from MANDO, the Korean automotive parts manufacturer, and POSCO, the global leading steelmaker. The result shows that IT boosts communication skills, thus creates a mutual relationship outcome. In the same context, the process of knowledge conversion by Nonaka's SECI model simplifies to an Externalization-Internalization process. This process accelerates the birth of explicit knowledge and Socialization, supplements the Limitations of the creation of knowledge in the E-I cycle. The E of knowledge simultaneously promotes the I, and eventually brings an advanced learning skill. IT aids the E of knowledge and furthermore, I and E activity, through the knowledge sharing, brings vitality into an organization. The interplay stage for knowledge activity is to be reorganized to a cyber ba. Furthermore, IT will galvanize the formation of core knowledge through systemized acquisition, management of core knowledge and standardization of work.

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Blackboard Scheduler Control Knowledge for Recursive Heuristic Classification

  • Park, Young-Tack
    • Journal of Intelligence and Information Systems
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    • v.1 no.1
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    • pp.61-72
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    • 1995
  • Dynamic and explicit ordering of strategies is a key process in modeling knowledge-level problem-solving behavior. This paper addressed the important problem of howl to make the scheduler more knowledge-intensive in a way that facilitates the acquisition, integration, and maintenance of the scheduler control knowledge. The solution a, pp.oach described in this paper involved formulating the scheduler task as a heuristic classification problem, and then implementing it as a classification expert system. By doing this, the wide spectrum of known methods of acquiring, refining, and maintaining the knowledge of a classification expert system are a, pp.icable to the scheduler control knowledge. One important innovation of this research is that of recursive heuristic classification : this paper demonstrates that it is possible to formulate and solve a key subcomponent of heuristic classification as heuristic classification problem. Another key innovation is the creation of a method of dynamic heuristic classification : the classification alternatives that are selected among are dynamically generated in real-time and then evidence is gathered for and aginst these alternatives. In contrast, the normal model of heuristic classification is that of structured selection between a set of preenumerated fixed alternatives.

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An Empirical Study of the Impact of Knowledge Management Capabilities on Organizational Performance (지식경영능력이 조직성과에 미치는 영향에 관한 실증적 연구)

  • 천면중;허명숙
    • The Journal of Information Systems
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    • v.10 no.2
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    • pp.165-192
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    • 2001
  • Knowledge Management (KM) is the systematic, explicit, and deliberate building, renewal, and application of knowledge to maximize an enterprise's knowledge-related effectiveness and performance from its knowledge assets. KM applies systematic approaches to find, understand, and use knowledge to create new capabilities, solve problems, enable superior performance, and encourage innovation. The purpose of this research is to identify the relationship of KM capabilities (KM infrastructures and KM processes) and organizational effectiveness and performance. An empirical research of the relationship of knowledge management capabilities and organizational effectiveness and performance is conducted from the information systems and knowledge management literature in order to access the following questions: (1) Does the knowledge management infrastructure contribute to the organizational effectiveness and peformance? (2) Does the knowledge management process contribute to the organizational effectiveness and peformance? The research design employs a mail survey questionnaire for gathering data from 500 firms in a number of industries. From a mail survey of 61 top managers of knowledge management, the results of empirical analyses provide the following major findings: (1) While the external effectiveness of organization is influenced by the cultural infrastructure of knowledge management, the overall performance of organization is influenced by the structural infrastructure of knowledge management. (2) While the external effectiveness of organization is influenced by the application and protection processes of knowledge management, the overall performance of organization is influenced by the knowledge acquisition process of knowledge management.

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BIALYSTOK의 외국어 학습 이론을 적용한 선박교통관제사 영어교육 연구

  • Lee, Yeong-Jeong;Kim, Yeong-Guk;Na, Gyeong-Sik
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.11a
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    • pp.14-16
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    • 2019
  • 명시적지식(Explicit Knowledge) 및 암시적지식(Implicit Knowledge) 등 외국어학습 이론을 적용한 선박교통관제사 영어교육 개선 방향을 연구하여 선박교통관제사 현장직무교육의 실효성을 증대하는 등 선박교통안전강화의 기반을 마련하고자 하였다.

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Knowledge Management and the Steps for Implementing Knowledge Management Strategy (지식순환과 지식경영전략)

  • 김세인
    • The Journal of Information Technology
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    • v.4 no.1
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    • pp.39-54
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    • 2001
  • Knowledge can be characterized in many ways. We have categorized internal and external knowledge by its position, tacit and explicit knowledge by the degree of formalization, and general and innovative knowledge by the power of competitive advantage. They is, often, mixed in real world. Under New Economy, firms must conduct the analysis of various knowledge embodied employee's skill, its products and business process, and create a new added value. Knowledge is the important strategic resource and the ability to capture, organize, store and apply is the critical capability for substantial competitive advantage. For establishing the steps of knowledge management strategy, we described below - the identification of intellectual capital, value analysis, the building of knowledge infrastructure, the knowledge organization, value creation, and the knowledge evaluation and dynamic knowledge management.

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A Study on the Police Knowledge Management System based on the IntraNet (인트라넷기반의 경찰지식관리시스템에 관한 연구)

  • Choi, Eung-Ryul;Lim, Jae-Kang
    • Korean Security Journal
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    • no.3
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    • pp.273-305
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    • 2000
  • The knowledge substitutes the traditional factors of production - land, labor, and capital - and has become one of the most important new resources. The Internet Knowledge Society is where the knowledge is the major source of development and competition. Now more than 350mi11ion computers are connected to internet servers and the internet users are more than 250mi11ion. The purpose of this paper is to propose some key factors for implementing the Police Knowledge Management System(PKMS) based on Intranet. With Information Technology(IT), the police administrative system will be much more efficient. Introducing the If into the system is critical for restructuring the police administrative system. This paper concludes as follows : ■ Knowledge is divided into tacit and explicit one. Knowledge process is divided into acquisition, accumulation, distribution and creation of knowledge. ■ The IntraNet is composed of Web server, FTP server, electric-mail server, and is constructed security system to safety. ■ All policemen are bound to serve as a new knowledge worker. ■ Police organization needs to operate data management system. The organization also needs to the Police Knowledge Management Center(PKMC). And the Police Chief Knowledge Officers(PCKO) needs to be appointed to manage the PKMC. ■ An information and knowledge infrastructure(various databases are the most important factor) should be established within the organization to promote the self-directed management, the interactive communication, and the learning ability of the members.

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A Theoretical Review on Knowledge Management and Its Model (지식경영과 그 모델에 관한 이론적 고찰)

  • 윤구호
    • Journal of Korean Library and Information Science Society
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    • v.33 no.1
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    • pp.169-192
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    • 2002
  • Knowledge management(KM) is a concept that has emerged explosively in the business community as a major issue of the 1990s. In this paper, the background and definition of KM and some major issues such as central groups and themes dominating the field of KM are outlined In brief. In particular, a descriptive model is proposed integrating explicit knowledge, tacit knowlegde and the infrastructure, and its key characteristics are examined in detail. Also a few methods to build efficient KM systems(KMS) as well as some conventional practices in KMS, and the librarian's role in KMS realization are briefly introduced.

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Rule Extraction from Neural Networks : Enhancing the Explanation Capability

  • Park, Sang-Chan;Lam, Monica-S.;Gupta, Amit
    • 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.

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Changes of the Abductive Inquiry Performance in Outdoor Geological Fieldwork (야외 지질 답사 교육에서 나타난 귀추적 탐구 수행 특성 변화)

  • Jung, Chanmi;Shin, Donghee
    • Journal of the Korean earth science society
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    • v.41 no.5
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    • pp.531-554
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    • 2020
  • In order to provide explanations of the practice of the abductive inquiry-based outdoor geological fieldwork education, this study examined the characteristics of students' performance in geological fieldwork before and after the introduction of explicit learning of geologic knowledge and inquiry. To this end, a 21st-class program was developed in the order of pre-evaluation, initial fieldwork, explicit learning of geologic knowledge and inquiry, and post-evaluation and applied to nine middle school students. As research data, outdoor geological fieldwork class recording data and students' activity sheets were collected and analyzed qualitatively. As a result, during the initial fieldwork, students caught clues of low geological importance and used everyday experience and/or general scientific knowledge as a rule when asked to generate hypotheses about the origin of the clues. Also, students evaluated their hypotheses by the scientific accuracy of the rule or their own criterion. Meanwhile, during the final fieldwork, students frequently caught key clues in geologic perspectives and generated geological event hypotheses related to the clues by borrowing geologic knowledge as a rule. Furthermore, students scientifically evaluated their hypotheses based on the consistency of evidence and rules. Combining these results, the effects of learners' geological knowledge and inquiry (abduction) abilities as a path model were presented in order to help students carry out a proficient abductive inquiry in geological fieldwork.