• 지식경영연구
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• 제7권2호
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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.

• 한국도서관정보학회지
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• 제35권2호
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• pp.415-436
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• 2004

본 연구에서는 크게 다음과 같은 두 가지 목적을 갖고 있다. 첫째, 지식경영과 지식관리시스템에 대한 이해를 바탕으로 방송사의 지식경영 및 지식관리시스템 도입을 제안하고, 방송사에 적합한 하부시스템을 갖춘 통합지식관리시스템 구축 모형을 제안하고자 한다. 둘째, 조직의 지식관리시스템 설계와 개발을 위한 방법론으로 팀 기반 접근에 대하여 설명하고 지식관리시스템 구축 프로젝트 과정에 대하여 자세하게 제시하고자 한다. 본 논문에서는 방송사의 지식관리시스템 구축에 목적을 두고 이를 위해 6개 방송사의 웹 사이트를 비교 분석을 하였다. 그리고 방송사에 관한 자료 수집 및 현황분석을 토대로 방송사의 지식관리시스템을 5가지의 하부시스템인 (1)방송기술지원시스템, (2)방송컨텐츠시스템, (3)고객관리시스템, (4)열사네트워크시스템, (5)인사 관리시스템을 포함한 통합관리시스템의 모형을 제안하였다. 한편, 본 연구에서 사용한 팀 기반 접근법은 다른 조직의 지식관리시스템 구축에도 적용 가능하다고 본다.

• 한국전자거래학회지
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• 제26권3호
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• pp.119-132
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• 2021

내용적 연관성에 기반한 연관지식의 파악은 핵심 지식에 대한 서비스와 보안의 기본적인 기능이다. 본 연구는 내용적 연관성을 기준으로 연관지식을 파악하는 기존의 방식, 즉 키워드 기반 방식과 워드임베딩 방식의 연관문서 네트워크 구성 성능을 비교하여 어떤 방식이 정량적/정성적 측면에서 우월한 성능을 나타내는가를 검토한다. 검토 결과 키워드 기반 방식은 핵심 문서 파악 능력과 시맨틱 정보 표현 능력 면에서 우월한 성능을, 워드임베딩 방식은 F1-Score와 Accuracy, 연관성 강도 표현 능력, 대량 문서 처리 능력 면에서 우월한 성능을 나타냈다. 본 연구의 결과는 기업과 사용자의 요구를 반영하여 보다 현실적인 연관지식 서비스 관리에 활용될 수 있다.

• Asia pacific journal of information systems
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• 제13권1호
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• pp.103-118
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• 2003

Software project planning is usually represented by a project activity network that is composed of stages of tasks to be done and precedence restrictions among them. The project network is very complex and its construction requires a vast amount of field knowledge and experience. So this study proposes a case-based reasoning approach that can generate the project network automatically based on the past cases and modification knowledge. For the case indexing, we have adopted 17 factors, each with a few alternative values. A special structure of this problem is that the modification effort can be identified by each factor independently. Thus it is manageable to identify 85 primitive modification actions(add and delete activities) and estimate its modification efforts in advance. A specific case requires a combination of primitive modifications. Based on the modification effort knowledge, we have adopted the Least Modification approach as a metric of similarity between a new project and past cases. Using the Least Modification approach and modification knowledge base, we can automatically generate the project network. To validate the performance of Least Modification approach, we have compared its performance with an ordinary minimal distance approach for 21 test cases. The experiment showed that the Least Modification approach could reduce the modification effort significantly.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2006년도 춘계학술대회
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• pp.294-300
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• 2006

This case study shows constructing the knowledge-based system using a rule-based approach for detecting transactions regarding money laundering in the Korea Financial Intelligence Unit (KoFIU). To better manage the explosive increment of low risk suspicious transactions reporting from financial institutions and to conjugate data converged into the KoFIU from various organizations, the adoption of a knowledge-based system is definitely required. We designed and constructed the knowledge-based system for anti-money laundering by committing experts of each specific financial industry co-worked with a knowledge engineer. The outcome of the knowledge base implementation shows that the knowledge-based system is filtering STRs in the primary analysis step efficiently and so has made great contribution to improve efficiency and effectiveness of the analysis process. It can be said that establishing the foundation of the knowledge base under the entire framework of the knowledge-based system for consideration of knowledge creation and management is indeed valuable.

• 대한산업공학회지
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• 제35권1호
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• pp.40-50
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• 2009

Knowledge-based services are largely dependent upon human-driven works. Therefore, considering human characteristics is required when modeling processes for knowledge-based services. As an emerging technology for Business Process Management, Human Interaction Management and its supportive process management can be an alternative to deal with human-driven processes. However, current HIM does not suggest concrete method for modeling conditions that are essential to realize supportive process management. And the condition modeling of HumanEdj, the only HIM software implemented, reveals the problem of complexity. As a solution, this paper suggests a fact-oriented ontological approach to process modeling. The approach uses human-friendly form of facts for condition modeling.

• 지식경영연구
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• 제21권1호
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• pp.151-173
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• 2020

The purpose of this study is to identify the antecedents that impact on the individual knowledge sharing based on motivational perspectives. Specifically, the authors investigate the roles of general self-efficacy and popularity on knowledge sharing drawn on costly signaling theory and trait activation theory. Data from 227 pairs of employees and coworkers working in companies located in South Korea supported the model. General self-efficacy was positively related to knowledge sharing and popularity was positively associated to knowledge sharing. Also, by taking an interactional approach, our study demonstrated the moderating effect of popularity on the relationship between general self-efficacy and knowledge sharing. The positive relationship between general self-efficacy and knowledge sharing is significant when popularity is low, but not significant when popularity is high. Our findings suggest that the various motivation types including intrinsic and extrinsic motivations for knowledge sharing of individuals exist simultaneously and these motivations have an interactive effect on knowledge sharing.

• 지능정보연구
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• 제19권1호
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• pp.111-123
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• 2013

개념간의 의미적 유사도 및 관계도(Semantic Similarity/Relatedness)를 구하는 연구는 고전적인 연구에서는 데이터 베이스 통합이나 시스템 통합, 그리고 현대의 연구에 있어서는 태그 및 키워드 추출, 연관 단어 추천 등에 걸쳐 다양한 분야에서 활용되어 온 연구이다. 그 연구는 역사가 오래되었을 뿐만 아니라, 경영정보와 컴퓨터 공학, 계산 언어학에 걸쳐 여러 분야에서도 많은 관심을 가져왔던 연구 분야라고 할 수 있다. 그러나, 지금까지의 개념간의 관계도 계산 방식은 미리 만들어진 사전이나 참조할 수 있는 다른 시맨틱 네트워크(Semantic Network)를 이용하여 계산하는 방법이 주를 이루었다. 이러한 접근 방법의 경우, 개념간의 의미적 관계가 변화에 대한 가능성을 고려하지 않는 것이 일반적이다. 하지만, 정보 기술의 발달과 빠른 사회변화는 개념간의 의미관계 등에 변화를 가져오고 있는 것이 현실이다. 사회적으로 일어나는 사건이나, 문화적 변화 등이 개념간의 의미관계를 변화시키는 것을 물론이며, 이러한 변화가 정보 통신 기술의 도움으로 빠르게 공유되고 있다. 이렇게 개념간의 의미 관계가 시간이나 맥락에 따라 빠르게 변화할 수 있는 가능성이 있음에도 불구하고, 기존의 개념간 의미적 유사도 및 관계도에 대한 연구들은 이러한 '의미관계의 변화'에 대한 새로운 문제에 대해 해답을 제시하지 못한 것이 사실이다. 따라서, 본 연구에서는 개념간의 유사도 연구에 있어 지금까지 있어왔던 '정적인 의미간 관계도 패러다임'에서 '동적인 의미간 관계도 패러다임'으로의 전환의 필요성과 그 당위성을 인지 의미론적(Cognitive Semantics)의 관점에서 역설하고자 한다. 인간이 인지하는 개념간의 의미관계가 변화할 수 있는 이론적 근거를 인지 의미론에서 찾아봄으로써, 패러다임 변화의 방향을 구체적으로 제시하였다. 또한 이러한 패러다임의 변화에 맞추어 개념간의 의미적 유사도 및 관계도에 대한 연구가 어떠한 방향으로 나아가야 할지 구체적인 연구 방향을 제시함으로써 관련 연구자들에게 새로운 연구의 가이드라인을 제시하였다.

• 한국임상약학회지
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• 제32권4호
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• pp.328-335
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• 2022

Background: Case-based learning (CBL) is becoming an important approach for improving interprofessional collaboration education. Previous studies have examined learners' satisfaction with interprofessional education (IPE) in medical institutions. However, there are few studies on the implementation of university-led CBL interventions and their direct effects on learning outcomes. The aim of this study was to evaluate the effectiveness of CBL interventions on changes in the participants' perception and knowledge acquisition ability. Methods: The CBL approach consisted of team-based case-based learning, self-directed learning, and post-feedback. It was conducted as a single course for pharmacy students in their 5th year in a university setting. Changes in the participants' perceptions and self-assessments of competence levels were evaluated using survey responses. The effect of the CBL intervention on knowledge acquisition ability was directly evaluated using the exam score. Results: The majority agreed or strongly agreed that team-based case-based learning, and self-directed learning helped them to improve their knowledge and skills to a higher level and to increase the self-assessment of competency level. The average score of knowledge acquisition ability (average score of 75.0, p=0.0098) was significantly higher in the CBL intervention group than the lecture-based learning intervention group (average score of 52.0). Conclusion: The participants positively perceived that CBL intervention helped them to effectively improve their knowledge and the self-assessment of competency level. It also enhanced knowledge acquisition ability. These data, based on the survey responses, suggest that it is necessary to implement CBL interventions in a university-led single professional education.

• 지식경영연구
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• 제21권1호
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• pp.27-40
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• 2020

Response surface methodology (RSM) empirically studies the relationship between a response variable and input variables in the product or process development phase. The ultimate goal of RSM is to find an optimal condition of the input variables that optimizes (maximizes or minimizes) the response variable. RSM can be seen as a knowledge management tool in terms of creating and utilizing data, information, and knowledge about a product production and service operations. In the field of product or process development, most real-world problems often involve a simultaneous consideration of multiple response variables. This is called a multiple response surface (MRS) problem. Various approaches have been proposed for MRS optimization, which can be classified into loss function approach, priority-based approach, desirability function approach, process capability approach, and probability-based approach. In particular, the loss function approach is divided into univariate and multivariate approaches at large. This paper focuses on the univariate approach. The univariate approach first obtains the mean square error (MSE) for individual response variables. Then, it aggregates the MSE's into a single objective function. It is common to employ the weighted sum or the Tchebycheff metric for aggregation. Finally, it finds an optimal condition of the input variables that minimizes the objective function. When aggregating, the relative weights on the MSE's should be taken into account. However, there are few studies on how to determine the weights systematically. In this study, we propose an interactive procedure to determine the weights through considering a decision maker's preference. The proposed method is illustrated by the 'colloidal gas aphrons' problem, which is a typical MRS problem. We also discuss the extension of the proposed method to the weighted MSE (WMSE).