• 디지털융복합연구
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• 제6권4호
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• pp.137-145
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• 2008

Embedded industry has emerged as one of the important industry for u-IT based application service. Technology development related to embedded hardware and software provides the base for the development of U-IT convergence industry. This study intends to suggest a research model to investigate the influence of industry, organization, technology factors on technology performance in the embedded companies. This study adopted research variables such as global network, local network, industry intensity, and technology capability as independent variables, with technology performance as a dependent variable from the existing literatures. The purpose of this study is to analyze the influence of industrial and organizational factors on technology performance of embedded companies SCM systems, including the moderating effect of government support. 94 companies data were collected by survey. The result of this empirical study is summarized as follows. First, local network and technology capability are the important determinants to influence technology performance of embedded companies in direct effect model. Second, global network and industry intensity has more positive influence on technology performance of embedded companies through a moderating variable of government support.

• 한국경영과학회지
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• 제40권4호
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• pp.107-121
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• 2015

Diffusion of innovation is the process in which an innovation is communicated through certain channels over time among the members of a social system. The literatures have emphasized the importance of interpersonal network influences on individuals in convincing them to adopt innovations and thereby promoting its diffusion. In particular, the behavior of opinion leaders who lead in influencing others' opinion is important in determining the rate of adoption of innovation in a system. Centrality has been recognized as a good indicator that quantifies a node's influences on others in a given network. However, recent studies have questioned its relevance on various different types of diffusion processes. In this regard, this study aims at examining the effect of a node exhibiting high centrality on expediting diffusion of innovations. In particular, we considered the situation where two innovations compete with each other to be adopted by potential adopters who are personally connected with each other. In order to analyze this competitive diffusion process, we developed a simulation model and conducted regression analyses on the outcomes of the simulations performed. The results suggest that the effect of a node with high centrality can be substantially reduced depending upon the type of a network structure or the adoption thresholds of potential adopters in a network.

• 디지털융복합연구
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• 제14권10호
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• pp.83-93
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• 2016

본 논문은 우리나라 정보통신 분야의 특허출원인 간 네트워크 특성이 기술혁신에 미치는 영향을 알아보기 위해 연구하였다. 이를 위해 특허 데이터를 토대로 정부 공공기관, 대학교, 대기업, 중소기업 등 각 혁신 주체의 네트워크 특성 요인과 특허피인용 횟수 간 관계를 소셜네트워크분석법(Social Network Analysis)과 부정적 이항분포 모델(Negative Binomial Regression)을 사용하여 분석하였다. 분석 결과, 우리나라 정보통신분야 혁신 네트워크는 밀도 0.009의 좁은세상 네트워크 유형을 보이고 있다. 또한, 연결중심성, 근접중심성은 특허피인용수로 대표되는 혁신 성과에 긍정적인 영향을 미치는 것으로 나타났는데에 반해, 구조적공백 지수 중 효율성은 유의미한 영향을 미치지 못했고, 제약성은 유의미한 부정적인 영향을 미치는 것으로 나타났다. 이것은 본 네트워크의 혁신 주체 간 연결이 매우 가까워 정보 지식의 확산이 빠르다는 것이고, 이에 반해 정보 지식의 원천이 한정되어 있어 다양하고 창의적인 혁신에는 한계가 있다는 것을 의미한다. 이에 이 결과를 토대로 각 혁신 주체의 효율성 및 다양성을 개선하기 위한 정책을 수립해야 한다.

• 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.

• 한국IT서비스학회지
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• 제17권2호
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• pp.179-190
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• 2018

This study is about the influence of authors' centrality on research outcomes in a large-scale collaborative research network. Using the social network analysis method, five types of centralities were derived. Six research outcomes of individual researchers were also derived through bibliographic information of the social science field for the last 10 years. A multivariate regression analysis was conducted to examine the causal relationship between the centrality and research outcome, and the effect of centrality on research outcomes was found to be statistically significant. The result of this study shows that the revised citation and H-index significantly influenced the authors' centrality. This result can imply that the centrality of the researcher can expect a considerable influence of the thesis as well as a certain level of productivity. The meaning of this study is to analyze the effect of centrality on the research outcomes of the large-scale collaborative research network in the past decade, and is carefully to suggest a guideline in order to support new research information services for active researchers and the advancement of collaborative research. This study has its limitation for interpreting the diverse academic fields of the social sciences in a uniform way. In future study, it is necessary to conduct studies using various weighted indices for network centrality in order to measure the influence of research.

• 한국통신학회논문지
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• 제33권8B호
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• pp.727-734
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• 2008

오늘날 네트워크 규모가 확대되고, 다양한 서비스가 개발됨과 동시에 공격기법들 또한 함께 진화하고 있다. 이러한 공격기술들에 대해 다양한 보안시스템들을 적용하고 있으며, 이들 보안시스템 중, 아웃바운드(Outbound) 네트워크 공격에 효과적으로 대응하기 위한 방화벽의 사용은 네트워크 보호에 필수적이다. 하지만 이러한 전형적인 방화벽(Conventional Firewall)은 오히려 인바운드(Inbound) 네트워크의 성능 및 보안성 저하에 직접적인 영향을 미치고 있으며, 내부 공격에 효과적이지 못하다. 따가서 본 논문에서는 인바운드 네트워크의 성능 및 보안성을 향상시키기 위해 보안대상에 따른 "기능성벽화벽(Functional Firewall)"을 제안하고자 한다.

• 가정과삶의질연구
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• 제27권5호
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• pp.91-99
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• 2009

This study investigates the relationships among emotional support from social network, ego-resiliency, and role conflict of teachers in kindergartens and day care centers. The subjects were 192 teachers who worked in kindergartens or child care centers in Daegu and Gyeongbuk Province. Questionnaires, which require self-report by teachers, were used to investigate the emotional support from social network, ego-resiliency, and role conflict. The collected data were analyzed by Pearson's correlation, single and multiple regressions, using SPSS Win 15.0. The results are as follows. (1) Emotional support from social network and ego-resiliency was negatively associated with the role conflict of teachers in kindergartens and day care centers. (2) Emotional support from social network was positively associated with ego-resiliency. (3) Emotional support from social network partly exerted indirect effects on role conflict mediated by ego-resiliency. But direct effect of emotional support from social network on role conflict was more than the indirect effect. These results indicate that a higher level of emotional support from social network is more likely to lower role conflict of teachers.

• 한국콘텐츠학회논문지
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• 제18권2호
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• pp.188-199
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• 2018

본 연구의 목적은 네트워크 이론에 근거하여 기업인 네트워크 활동과 기업역량의 유형을 파악하고 이들 특성과 경영성과 사이의 영향 관계를 비교 분석하는 데 있다. 연구결과 기업인의 네트워크 빈도, 중요도, 신뢰도가 경영성과에 유의한 정(+)의 영향을 미쳤으며, 이때 기업역량(산업정보역량, 기회포착역량, 전략적 유연성, 거래비용절감)의 매개효과가 나타났다. 본 연구는 기업역량을 기업인 네트워크 활동의 직접적인 성과변수로 포함하여 경영성과의 측정을 시도하였으며, 기업인 네트워크 활동의 성과를 높이기 위해 네트워크 범위를 넓히기보다는 가장 중요한 네트워크 원천과의 교류에 집중하는 것이 바람직하며, 네트워크 활동의 질적 특성을 강화하기 위한 노력이 필요하다는 결론을 도출한 데 연구의 시사점이 있다.

• Journal of Information Technology Applications and Management
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• 제20권3_spc호
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• pp.201-217
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• 2013

This paper analyzes the effect of network neutrality regulation on social welfare using the two-sided market under the network congestion. This paper deals with zero price rule regulation which means the price regulation on the side of content. The results are as follows : First, under the monopoly platform, internet use price, contents price, and the number of internet user and content provider are all decreasing as the network congestion increases. Second, under the monopoly platform internet use price, contents price, and the number of internet user and content provider are all increasing as the network capacity increases. Third, the price of internet use and contents internet use which maximize social welfare are increasing and the number of internet user and content provider are decreasing as the network congestion increases. Fourth, optimal network capacity for monopoly platform provider is less than socially optimal network capacity. Fifth, if network neutrality regulation is enforced, the price of internet use is higher than monopoly platform provider and the price of contents is lower than monopoly platform provider. Also, the number of internet user is less than monopoly platform provider and the number of content provider is more than that. By the way, when network congestion increases, internet use price, the number of internet user, and the number of content provider are decreasing. Sixth, network neutrality regulation is more effective for internet user side than contents provider when network congestion is considered. This means that network neutrality regulation is not effective for contents market side when network congestion is seriously large.

• 음성과학
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• 제11권1호
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• pp.21-29
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• 2004

In this paper we examined the effect of normalization on discriminating the pathological voice into normal and abnormal classes using artificial neural network. Average values per each parameter were used to normalize each set of parameter values. Artificial neural networks were used as classifiers. And the effect of normalization was evaluated by comparing the discrimination results between original and normalized parameter sets.