• Title/Summary/Keyword: knowledge-based management

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An Implementation Architecture for Knowledge Flow Model (지식 흐름 모델의 구현 아키텍처에 관한 연구)

  • Kim, Su-Yeon;Hwang, Hyun-Seok
    • 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.

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Knowledge Management, Beliefs, and Competence on Evidence-Based Practice, Evidence-Based Decision Making of Nurses in General Hospitals (간호조직의 지식관리, 간호사의 근거기반실무 신념 및 역량이 근거기반 의사결정에 미치는 영향)

  • Jang, In-Sook;Park, Myonghwa
    • Korean Journal of Adult Nursing
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    • v.28 no.1
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    • pp.83-94
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    • 2016
  • Purpose: The purpose of this study was to explore how knowledge management of hospital and nurses' beliefs and competences on evidence-based practice can affect evidence-based decision making. Methods: In this descriptive study, a total of 184 nurses who were working in the five general hospitals participated. The data were collected through a self-administered questionnaire in September, 2014. Data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson correlation coefficient, and step-wise multiple regression with SPSS/WIN Statistics 21.0 program. Results: Evidence-based decision making was correlated with EBP beliefs (r=.55, p<.001), EBP competence (r=.57, p<.001), and knowledge management (r=.50, p<.001). Hierarchical regression analysis showed that EBP beliefs (${\beta}=.18$, p=.005), EBP competence (${\beta}=.37$, p<.001), organizational knowledge management (${\beta}=.27$, p<.001) explained 48.6% of evidence based decision making (p<.001). Conclusion: The study results indicated that evidence-based practice competences, organizational knowledge management, and evidence-based practice beliefs were important factors on evidence-based decision making. In order to improve evidence-based practice among nurses through organizational knowledge management, EBP beliefs and competence at individual level need to be considered and incorporated into any systemic training of EBP.

The Knowledge Process and Performance of Knowledge Management Systems (지식 프로세스와 지식관리시스템의 성과)

  • Kang, Inwon;Lee, Kun-Chang;Lee, Sangjae
    • Knowledge Management Research
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    • v.9 no.3
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    • pp.43-57
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    • 2008
  • This study examines the impact of knowledge processes (KP) on the performance of knowledge management systems (KMS). It posits that task needs and available functionality of technology existing in an organization could influence the usability of KP and the KMS performance. A firm-level structural model was developed based on data collected from corporate KM users. Survey-based research was carried out to test this model. Following questionnaire development, validation, and pretest with a pilot study, data were collected from 886 knowledge management (KM) users including directors, managers, and workers in a South Korea-based company, Korea Asset Management Corporation (KAMCO), to measure the task needs and available functionality of technology to improve the KMS performance. Results show that the matching between the two factors-technology and task-had a significant influence on the usability of KP and the KMS performance, and a better usability of KP has positive impact on the KMS performance. Implications on KM practices and KMS designs are also discussed.

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Knowledge-based Decision Making using System Dynamics (시스템 다이나믹스를 이용한 지식 기반 의사결정)

  • Kim, Hee-Woong;Kwak, Sang-Man
    • IE interfaces
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    • v.13 no.1
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    • pp.17-28
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    • 2000
  • As knowledge has been recognized as a new resource in gaining organizational competitiveness, Knowledge Management (KM) is suggested as a method to manage and apply knowledge for business management. KM research, however, has focused on identifying, storing, and distributing the transaction-related knowledge in an organization. There has been little research on applying the knowledge to decision-making or strategy development that is the main task of business management. The application of knowledge to decision making has higher impact on organizational performance rather than just the knowledge management for process transaction. In this research, we suggest System Dynamics (SD) for the knowledge-based decision-making. Based on the modeling method of SD, we can translate partial and implicit knowledge resident in individual's mental model into organized explicit knowledge. The simulation test of the organized knowledge model enables decision-makers to understand the structure of the target problem and its behavior mechanism, which facilitates effective decision-making. We will compare the proposed method and other KM methods and discuss this research based on the application case to a real telecommunication company.

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An Exploratory Research on Intellectual Capital Management: Case Study for A Research Institute (지적자본경영 전망에 관한 탐색적 연구: A연구원 사례를 중심으로)

  • Kim, Su Jung;Kim, Seung Chul
    • Knowledge Management Research
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    • v.12 no.4
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    • pp.91-119
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    • 2011
  • Compared to the industrial society, the knowledge-based economy of the 21st century has placed importance on intellectual capital as a sustainable competitive advantage of an organization. The ownership, creation, and interaction of intellectual capital is emerging as the main challenges of the management and, moreover, it might extend to the issue of intellectual capital management. This research found that the exploitation and sharing of knowledge was more efficient in a networked organization through a case study for A research institute, which attempted intellectual capital management domestically for the first time. The contribution of this exploratory research is to suggest new perspectives on the ownership of intangible asset, the evaluation of knowledge-based product, and the competitive advantage and complementarity of an organization in the knowledge-based economy. The limitation is that this research is just exploratory due to the inaccessibility of data. If the intellectual capital management would be more common, the diverse researches should be empirically carried out.

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The Knowledge-Based Design Paradigm through Web Data Mining and Knowledge Management Framework (웹 데이터 마이닝과 지식경영 프레임웍을 통한 지식-기반 디자인 패러다임 구축)

  • 양종열
    • Archives of design research
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    • v.15 no.4
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    • pp.159-168
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    • 2002
  • The world has rushed into knowledge information society. Information technology is one of the causes to show up knowledge management and one of the motives to accelerate knowledge management. And, these days information technology and internet have made staffing progress. Therefore, the objective of this study is to take out latent knowledge of customers through web data mining in a vast amount of data on the internet in rapidly developing digital environments, to develop the knowledge-based design paradigm applied to knowledge management framework, and finally to develop design which satisfies customers' needs. To reach the objective, knowledge management process and varied previous studies related to web data mining are reviewed on a theoretical basis, and then a new knowledge-based design paradigm (in this study, eCRM in a true sense which combines web data mining with knowledge management process is called knowledge-based design paradigm) combining knowledge management process with web data mining is suggested.

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Investigating Role of Knowledge-Based People for Practicing Effective Knowledge-Based Management (효율적인 지식경영을 실천하기 위한 지식인의 역할에 대한 고찰)

  • 김영천
    • The Journal of Information Technology
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    • v.2 no.2
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    • pp.217-233
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    • 1999
  • I have tried to find a concept among different perspectives on knowledge management. A practical framework of the enhancement of firm's competence through knowledge accumulations was developed as follows: First, All human factors should be armed with information based knowledge and leaded by chief knowledge officer. Second, Learning organization is necessary to develope knowledge creation. Third, Organization has to be controlled by information based control system for the effective linkage of several sort of information. Fourth, Shared culture of knowledge internalized by all members must help organization generate and articulate a new form of knowledge. Finally, Several information technologies and instrumental system may faster creation of knowledge. Especially, in this paper, focused on role of knowledge-based people. It is new view of knowledge-based management studies.

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Ontology-Based Knowledge Framework for Product Life cycle Management (PLM 지원을 위한 온톨로지 기반 지식 프레임워크)

  • Lee Jae-Hyun;Suh Hyo-Won
    • Journal of the Korean Society for Precision Engineering
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    • v.23 no.3 s.180
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    • pp.22-31
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    • 2006
  • This paper introduces an approach to an ontology-based knowledge framework for product life cycle management (PLM). Participants in a product life cycle want to share comprehensive product knowledge without any ambiguity and heterogeneity. However, previous knowledge management approaches are limited in providing those aspects. Therefore, we suggest an ontology-based knowledge framework including knowledge maps, axioms and specific knowledge far domain. The bottom level, the axiom, specifies the semantics of concepts and relations of knowledge so that ambiguity of the semantics can be alleviated. The middle level is a product development knowledge map; it defines the concepts and the relations of the product domain common knowledge and guides engineers to process their engineering decisions. The middle level is then classified further into more detailed levels, such as generic product level, specific product level, product version level, and product item level for PLM. The top level is specialized knowledge fer a specific domain that gives the solution of a specific task or problem. It is classified into three knowledge types: expert knowledge, engineering function knowledge, and data-analysis-based knowledge. This proposed framework is based on ontology to accommodate a comprehensive range of unambiguous knowledge for PLM and is represented with first-order logic to maintain a uniform representation.

KEY BARRIERS AND THEIR STRATEGIC RESPONSES TO ACTIVATE KNOWLEDGE SHARING IN CONSTRUCTION ORGANIZATIONS

  • Tae-Wan Kim ;Hyoun-Woo Joh
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.403-408
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    • 2005
  • Being in a knowledge-based industry, many construction organizations are seeking to manage their own knowledge in an effective way. To manage knowledge, the organizations must motivate in-house people to share their knowledge. However, some barriers to knowledge sharing do exist and researches on these barriers considering construction organizations' characteristics seem rare. This study aims to identify key barriers to knowledge sharing considering the characteristics of construction organizations. Based on the identification, strategic responses to each key barrier are presented in two perspectives of technical and behavioral approach to activate knowledge sharing.

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A Study on Knowledge Management Utilizing CBR in e-Business (e-Business 환경하에서의 CBR(Case-based Reasoning)을 이용한 지식경영 사례)

  • Jung, Chang Duk;Kim, Kwang Chul
    • Knowledge Management Research
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    • v.3 no.1
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    • pp.93-106
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    • 2002
  • Knowledge management is a recent area in business administration that deals with how to leverage knowledge as a key asset and resource in modern organizations. Also, Knowledge systems are the single most important industrial and commercial offspring of the discipline called artificial intelligence. A Case Based Reasoning(CBR) system solves new problems by recalling adapting previous solutions. This paper presents the results of a recent empirical study. Furthermore this study proposes a CBR Methodology designed to manage knowledge of Hana company under e-business.

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