• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 1999년도 춘계공동학술대회: 지식경영과 지식공학
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• pp.281-287
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• 1999

Decision class analysis (DCA) is viewed as a classification problem where a set of input data (situation-specific knowledge) and output data (a topological leveled influence diagram (ID)) is given. Situation-specific knowledge is usually given from a decision maker (DM) with the help of domain expert(s). But it is not easy for the DM to know the situation-specific knowledge of decision problem exactly. This paper presents a methodology fur sensitivity analysis of DCA under incomplete information. The purpose of sensitivity analysis in DCA is to identify the effects of incomplete situation-specific frames whose uncertainty affects the importance of each variable in the resulting model. For such a purpose, our suggested methodology consists of two procedures: generative procedure and adaptive procedure. An interactive procedure is also suggested based the sensitivity analysis to build a well-formed ID. These procedures are formally explained and illustrated with a raw material purchasing problem.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 1999년도 춘계공동학술대회-지식경영과 지식공학
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• pp.281-287
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• 1999

Decision class analysis (DCA) is viewed as a classification problem where a set of input data (situation-specific knowledge) and output data(a topological leveled influence diagram (ID)) is given. Situation-specific knowledge is usually given from a decision maker (DM) with the help of domain expert(s). But it is not easy for the DM to know the situation-specific knowledge of decision problem exactly. This paper presents a methodology for sensitivity analysis of DCA under incomplete information. The purpose of sensitivity analysis in DCA is to identify the effects of incomplete situation-specific frames whose uncertainty affects the importance of each variable in the resulting model. For such a purpose, our suggested methodology consists of two procedures: generative procedure and adaptive procedure. An interactive procedure is also suggested based the sensitivity analysis to build a well-formed ID. These procedures are formally explained and illustrated with a raw material purchasing problem.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 하계종합학술대회 논문집(3)
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• pp.59-62
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• 2001

This paper discusses a data mining technique for time series analysis of traffic data, which provides useful knowledge for network configuration management. Commonly, a network designer must employ a combination of heuristic algorithms and analysis in an interactive manner until satisfactory solutions are obtained. The problem of heuristic algorithms is that it is difficult to deal with large networks and simplification or assumptions have to be made to make them solvable. Various data mining techniques are studied to gain valuable knowledge in large and complex telecommunication networks. In this paper, we propose a traffic pattern association technique among network nodes, which produces association rules of traffic fluctuation patterns among network nodes. Discovered rules can be utilized for improving network topologies and dynamic routing performance.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.262-270
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• 2022

In the past two decades, there has been an increasing interest in project knowledge management, as knowledge is a crucial resource for project management success. Knowledge capture and sharing are two effective project management practices. Capturing and sharing project knowledge has become more efficient due to technological advances. Nevertheless, present technologies face several technical, functional, and usage obstacles and constraints. Thus, Blockchain technology might provide promising answers, yet, there is still a dearth of understanding regarding the technology's proper and practical application. Consequently, the goal of this study was to fill the gap in the literature about the adoption of Blockchain technology and to investigate the project stakeholders' acceptance and willingness to utilize the technology for capturing and sharing project knowledge. Due to this inquiry's exploratory and inductive characteristics, qualitative research methodology was used, namely the Grounded Theory research approach. Accordingly, eighteen in-depth, semi-structured interviews were conducted to collect the data. Concurrent data collection and analysis were undertaken, with findings emerging after three coding steps. Four influencing factors and one moderating factor were identified as affecting users' acceptance of Blockchain technology for capturing and sharing project knowledge. Consequently, the results of the study aimed to fill a gap in the existing literature by undertaking a comprehensive analysis of the unrealized potential of Blockchain technology to improve knowledge capture and sharing in the project management environment.

• 기술혁신학회지
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• 제20권4호
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• pp.1057-1088
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• 2017

본 연구는 사회연결망 분석이론을 통해 원자력 과학기술에 대한 사회과학 연구의 경향적 특징을 파악하고, 동 분야의 주요 연구주제와 세부 연구분야를 도출하기 위해 수행되었다. 연구대상은 1957년부터 2016년까지 국내 학술지에 게재된 원자력 관련 사회과학 분야 연구논문 605건으로, 저자가 제시한 키워드 간 관계망 형성을 통해 네트워크 분석을 수행하였다. 분석결과 첫째, 원자력에 대한 사회과학연구는 1957년부터 시작되어 꾸준히 수행되다가 2011년을 기점으로 급격히 증가했으며, 주로 법학, 행정학, 정책학, 정치학 분야의 연구논문이 발표되었다. 둘째, 지식 네트워크 구성결과 국내 원자력에 관한 사회과학 지식 네트워크는 무척도 네트워크로, 연결중심성이 높은 소수의 연구주제들을 중심으로 네트워크가 확대되어 왔다. 한편, 2011년 후쿠시마 사고 이후 '탈핵', '독일' 등의 키워드가 부상하면서 새로운 연구주제들이 부상했다. 셋째, 지식 네트워트의 세부 연구분야 도출결과, 밀도가 가장 높은 법학 관련 연구주제들은 상호간 연계되어 독립적 연구분야로 자리매김해왔으며, 핵안보 분야는 북핵문제를 중심으로 양자간 혹은 지역 내 문제를, 핵비확산 분야는 주로 국제 제도적 차원의 연구주제들로 구성되었음을 확인했다. 본 연구는 과학계량학적 차원에서 문헌정보를 기반한 네트워크 분석틀을 특정 분야의 연구경향 분석에 적용함으로써 거시적 차원의 연구경향 특징을 실증적으로 도출하였으며, 원자력을 바라보는 대중의 시선이 아닌 학자들의 인식을 그들의 연구성과물을 통해 간접적으로 파악하고자 했다는 점에서 의의가 있다.

• International Journal of Computer Science & Network Security
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• 제22권1호
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• pp.288-294
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• 2022

This study aims to assess the knowledge of teachers working with students with autism spectrum disorder (ASD) regarding applied behaviour analysis (ABA). The study was concerned with teachers' knowledge of ABA, its application in the classroom, barriers to its use and desired training opportunities and/or resources to enhance teacher application of ABA strategies in the classroom. Data were collected via an online survey completed by 190 teachers with students diagnosed with ASD in British schools. The results revealed overall knowledge of ABA strategies for classrooms, with only some teachers uninformed about the broad use and some key elements, and general familiarity with skills crucial for applying ABA. Actual knowledge of ABA was found to be high. In terms of application of ABA, the majority of the teachers employed a wide range of known strategies. A number of barrier to the application of ABA were noted including a lack of knowledge and training, a lack of administrative support and a lack of time and physical resources. Theoretical knowledge is crucial for practical applications; however, practical training was found to be important to ensure intervention efficacy.

• 한국콘텐츠학회논문지
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• 제17권11호
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• pp.1-8
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• 2017

지식 네트워크는 지역의 경제적 성과와 경쟁력을 확보하는데 중요한 요소로 간주된다. 또한 지식을 흡수할 수 있는 능력이 높은 연구기관들은 지역적 요인에 상관없이 글로벌 지식 네트워크를 형성하려는 경향이 강하며, 그렇지 않은 기관들은 지역적 요인에 많은 영향을 받는다. 본 연구에서는 한국의 지역을 중심으로 지식 흡수능력이 낮은 기관일수록 지식 네트워크의 지리적 요인에 얼마나 많은 영향을 받는지에 대해 검증하였다. 그 결과, 지식 흡수능력이 높은 기관일수록 국제 공동연구를 추진하고 있는 것으로 나타났으며 수도권을 제외한 다른 지역에서는 거점 대학을 중심으로 연구가 진행되고 있는 것으로 나타났다. 즉, 과학기술이 발전된 지역은 더 이상 반드시 지역적인 요소가 중요 요인이 아니라는 것을 의미한다. 이러한 연구결과는 상당부분 선행이론들의 논의와 부합하는 것으로 나타났다. 또한 사전연구에 대해 한국 지역을 중심으로 사례연구를 진행하여 이를 검증하였다는 점에서 연구의 가치가 있다.

• 지식경영연구
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• 제22권4호
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• pp.1-26
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• 2021

무형자산의 가치에 대한 중요성이 대두되면서 이를 측정하는 것에 관한 다양한 연구가 진행되었다. 그러나 미디어 산업의 빠른 성장에도 불구하고 해당 산업 내 캐릭터 가치를 정량적으로 평가하는 데 많은 어려움이 존재한다. 최근에는 소셜 네트워크 분석 (Social Network Analysis) 방법론이 미디어 사용자의 행태를 분석하는 데 유용하게 활용되고 있다. 본 연구는 SNS 데이터를 통하여 미디어 작품의 캐릭터 네트워크 특징과 인간의 검색 행위 사이의 상관 관계를 분석하였다. 분석 결과 미디어 작품의 캐릭터 네트워크 중심성 척도와 검색 데이터 간 유의미한 상관 관계 및 인과성이 확인되었다. 본 연구 결과는 캐릭터 네트워크가 캐릭터 자산의 가치평가를 위한 단서로서 활용될 수 있음을 시사한다.

• 지식경영연구
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• 제17권3호
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• pp.23-44
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• 2016

This study examined the cause-and-effect relationships among developmental network characteristics, developmental functions, and career identity. The study analyzed the data of employees with more than two years of experience and a college degree or over qualifications, from domestic companies. For analysis, the structural equation model was applied. Most of all, it was substantiated that the structural relationships among the developmental network characteristics, developmental functions, and career identity. The specific results were as follows. First, tie strength had a positive effect on all of developmental functions but psychosocial support mediated the relationship between the tie strength and career identity. Second, an indirect relationship between indicators of network diversity and identity was not found or the indirect relationship was very weak.

• 디지털산업정보학회논문지
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• 제14권2호
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• pp.133-141
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• 2018

The purpose of this study was to propose a model of knowledge transfer in IT outsourcing. In this study, structural holes were chosen as antecedent factors, and job performance as a consequence factor. We conducted a survey in which we collected data from 42 respondents working in one of the leading IT companies in Seoul, South Korea. The data were analyzed using UCINET 6 and SmartPLS 2.0. The antecedent factors (structural holes in closeness network and in professional network) turned out to be statistically significant. Knowledge transfer considerably influenced job performance. Lastly, implications and limitations of these findings were discussed, and directions for future research were suggested.