• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2008년도 추계학술대회 및 정기총회
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• pp.329-341
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• 2008

Knowledge management has garnered attention due to its role of maintaining competitive advantage. Creating and sharing knowledge is an essential part of managing knowledge. However, the best knowledge is underutilized because employees tend to seek knowledge through their informal networks, not reach out to other sources for obtaining the best knowledge. Prior studies on informal networks pointed out a negative influence of heavy reliance on learning through informal networks but they paid little attention to a structure of informal networks and its impacts on diffusion of knowledge. The aim of our study is to show impacts of informal network on knowledge management by employing a network structure and investigating diffusion of knowledge within it. Our study found out that performance of learning becomes lower in a highly clustered network. Creating random links such as serendipitous learning can improve performance of knowledge management. When employees rely on a knowledge management system, creating random links is not necessary. Costs of adopting knowledge affect performance of knowledge management.

• International Journal of Computer Science & Network Security
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• 제21권11호
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• pp.207-215
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• 2021

The aim of the article is to study the role of informal institutions in the development of the financial services market. The study outlines the concepts of scholars to identify the main types of informal institutions. The mechanism of research of influence of the informal factor on functioning of economic object is developed. The main types of informal institutions are systematized. The main informal institutions influencing the development of the financial services market are considered. The application of a synergetic approach to the consideration of the impact of the institution of trust on the financial services market is proposed.

• 아태비즈니스연구
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• 제10권4호
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• pp.49-63
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• 2019

The export regulation of semiconductor core materials, which began with the recent revision of the export management regulations of Japan, raises the need for a new cooperation network. A hierarchical management network that was effective in the fast-follower system requires organic cooperation between the public sector and industry through a multilateral network that emphasizes horizontal co-operation among innovation actors. This study focused on the relational capital that exists among members of a business association such as an association that has been relatively marginalized from previous studies. In addition, this study aimed to analyze the effect of network activity characteristics such as industry-university linkage and informal exchange on technological innovation. Through this, I would like to draw implications for enhancing the effectiveness of the government's R & D support and innovation performance of R & D companies. Based on the results of the SMEs R & D survey, this study found that relational capital, informal exchange had a positive effect on technological innovation performance. However, if the relational capital exceeds a certain level, it is analyzed that there is a negative effect due to group think and lock-in effect. This means that informal exchange channels should be expanded for innovation and enhancement, and relational capital should be managed in consideration of the negative effects that may occur when certain levels are exceeded.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.71-84
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• 2024

This paper presents a critical analysis of the current application of big data in higher education and how Learning Analytics (LA), and Educational Data Mining (EDM) are helping to shape learning in higher education institutions that have applied the concepts successfully. An extensive literature review of Learning Analytics, Educational Data Mining, Learning Management Systems, Informal Learning and Online Social Networks are presented to understand their usage and trends in higher education pedagogy taking advantage of 21st century educational technologies and platforms. The roles of and benefits of these technologies in teaching and learning are critically examined. Imperatively, this study provides vital information for education stakeholders on the significance of establishing a teaching and learning agenda that takes advantage of today's educational relevant technologies to promote teaching and learning while also acknowledging the difficulties of 21st-century learning. Aside from the roles and benefits of these technologies, the review highlights major challenges and research needs apparent in the use and application of these technologies. It appears that there is lack of research understanding in the challenges and utilization of data effectively for learning analytics, despite the massive educational data generated by high institutions. Also due to the growing importance of LA, there appears to be a serious lack of academic research that explore the application and impact of LA in high institution, especially in the context of informal online social network learning. In addition, high institution managers seem not to understand the emerging trends of LA which could be useful in the running of higher education. Though LA is viewed as a complex and expensive technology that will culturally change the future of high institution, the question that comes to mind is whether the use of LA in relation to informal learning in online social network is really what is expected? A study to analyze and evaluate the elements that influence high usage of OSN is also needed in the African context. It is high time African Universities paid attention to the application and use of these technologies to create a simplified learning approach occasioned by the use of these technologies.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.1344-1346
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• 1996

In this paper, we discuss an informal analysis of diffusion, global optimization properties of Langevine competitive learning neural network. In the view of the stochastic process, it is important that competitive learning gurantee an optimal solution for pattern recognition. We show that the binary reinforcement function in Langevine competitive learning is a brownian motion as Gaussian process, and construct the Fokker-Plank equation for the proposed neural network. Finally, we show that the informal analysis of the proposed algorithm has a possiblity of globally optimal. solution with the proper initial condition.

• 한국지역지리학회지
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• 제10권4호
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• pp.713-726
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• 2004

본 연구는 대구지역 벤처기업을 사례로 이들의 혁신활동과 비공식적 네트워크의 실태와 그 특성에 대하여 분석하였다. 지역 벤처기업의 혁신을 위한 지식 및 정보의 원천은 기업내부가 가장 중요하고 다음이 고객기업과 경쟁기업, 중앙정부와 정부산하기관으로 나타났다. 그리고 대체로 1-5개 정도의 비공식 네트워크 조직에 참여하고 있다. 그 중에서 비공식 네트워크를 통해 얻는 정보의 유형은 기술정보가 가장 많고, 다음으로 새로운 사업기회와 관련된 정보, 마케팅 등 고객관련 정보이다. 비공식 네트워크에 참여하는 주된 이유는 새로 정보 입수, 공동 프로젝트, 제휴 등 새로운 사업기회의 모색이었다. 특히 지역벤처기업의 비공식 네트워크는 혁신을 통한 직접적인 이익창출 뿐만 아니라 지역내 혁신주체와의 신뢰관계 구축을 통한 사회자본 창출 및 축적에도 중요한 의미를 가진다.

• 한국과학교육학회지
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• 제27권6호
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• pp.519-528
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• 2007

Although science continues to be a key subject in the education of the majority of young people throughout the world, it is becoming increasingly clear that school science is failing to win the hearts and minds of many of today's younger generation. Researchers have begun to look at ways in which the learning that takes place in museums, science centres and other informal settings can add value to science learning in schools. Four case studies are used to illustrate the potential afforded by informal contexts to research aspects of science learning. The case studies involve: the European Union PENCIL (Permanent European Resource Centre for Informal Learning) project (a network of 14 museums and science centres working with schools to enhance learning in maths and science); a large natural history museum in England; the Tate Modernart gallery in London, and the Outdoor Classroom Action Research Project which involved researchers working in school grounds, field centres and farms. The range of research questions that were asked are examined as are the methodological approaches taken and the methods used to collect and analyse data. Lessons learned from the studies about research in the informal contexts are discussed critically.

• Asian Journal of Innovation and Policy
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• 제4권2호
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• pp.242-262
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• 2015

The relationship between geographical proximity and academics' formal and informal knowledge-transfer activities in the network is analyzed with a mixed research method. With social network analysis as a basis, we have explored the networks between academics and firms in the 16 regions of South Korea. The result shows Seoul and Gyunggi are identified as central nodes, meaning that the academics in other regions tend to collaborate with firms in these regions. An econometric analysis is performed to confirm the localization of knowledge-transfer activities. The intensity of formal channels measured by the number of academic papers is negatively, but significantly associated with the geographical proximity. However, we have not found any significant relationship between the formality of the channels and geographical proximity. Possibly, the regional innovation systems in South Korea are neither big enough nor strong enough to show a localization effect.

• 한국학교수학회논문집
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• 제8권3호
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• pp.357-366
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• 2005

이 연구는 교육과정에 명시적으로 표기하지 않은 개념형성과정을 밝혀 구조망으로 나타내고, 여기에서 교사가 지도할 내용의 개열을 구성하는데 그 목적을 둔다. 이를 위해 연구진은 사인함수의 그래프에 대한 개념형성과정을 수업모델로 만들어 교실에서 수업을 실시하고 수업 중학생들의 모둠활동을 관찰했다. 또, 수업 후에는 인터뷰를 통해 개념형성과정에서 보인 상황 찾기(인식), 사용된 사고전략, 효과적인 자료 및 학습도구 등 학생들의 반응을 면밀히 기록했다. 이들 결과는 5인의 전문 집단에 의하여 분석되어 내용구조망(network)과 그 지도계열을 구성할 수 있었다. 이 연구는 학교현장에서 소홀이 되고 있는 개념교육에 구체적인 방법을 제시하고 있다.

• Journal of Preventive Medicine and Public Health
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• 제56권4호
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• pp.327-337
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• 2023

Objectives: Considering the importance of social determinants of health (SDHs) in promoting the health of residents of informal settlements and their diversity, abundance, and breadth, this study aimed to identify, measure, and rank SDHs for health promotion interventions targeting informal settlement residents in a metropolitan area in Iran. Methods: Using a hybrid method, this study was conducted in 3 phases from 2019 to 2020. SDHs were identified by reviewing studies and using the Delphi method. To examine the SDHs among informal settlement residents, a cross-sectional analysis was conducted using researcher-made questionnaires. Multilayer perceptron analysis using an artificial neural network was used to rank the SDHs by priority. Results: Of the 96 determinants identified in the first phase of the study, 43 were examined, and 15 were identified as high-priority SDHs for use in health-promotion interventions for informal settlement residents in the study area. They included individual health literacy, nutrition, occupational factors, housing-related factors, and access to public resources. Conclusions: Since identifying and addressing SDHs could improve health justice and mitigate the poor health status of settlement residents, ranking these determinants by priority using artificial intelligence will enable policymakers to improve the health of settlement residents through interventions targeting the most important SDHs.