• Korean Journal of Culture and Social Issue
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• v.11 no.spc
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• pp.69-83
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• 2005

This paper examines the diverse conceptualizations of trust and explores the multi-level factors affecting trust in organizations. Trust in organizations can be defined as a willingness to be vulnerable to the actions of others and to take risks based on the positive expectations toward the others' intentions and behaviors. The process of building and the content of trust in organizations can vary depending on the social and cultural backgrounds in which. the organizations lie. The reengineering process toward a flatter and flexible organizational structure requires the presence of trusting relationships within organizations. Networks within organizations can function as a basis and channel of trust formation. Finally, the importance of trust in efficient leadership process was discussed.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.4
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• pp.377-382
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• 2010

For business purposes, it is important to identify diffusion power users, a group of users who have big influence on other users in diffusing content. In this paper, we use the independent cascade model for determining diffusion power users, and to do so, we need a method for calculating the assimilation probability between users. This paper proposes the concepts of user delivery power and a way to quantifying the value of this. User delivery power is used to compute the assimilation probability with user content power. We analyze the proposed method by comparing its performance with those of existing methods through experiments using a real blog network data.

• Journal of the Korean Society for information Management
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• v.26 no.3
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• pp.295-316
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• 2009

This research applied the concepts of IT architecture and IT governance for managing with an integrated computing environment and organized structure, which base a digital library's management and operation. It also aims to analyze the structural system between information technology of human resources and strategy alignment elements of business, which both constitute the core content. Social network analysis software was used to investigate the complicated relationship between IT and business-related strategy alignment elements. The following is the results of carrying out this research on the social network structure and features of strategy alignment elements for a digital library. First, analysis indexes for strategy alignment elements and social network of a digital library were developed. Second, an analysis model was designed based on the analysis index for social network as to strategy alignment elements. Analysis model was appraised by collecting social network datasets for such strategy alignment elements as Communications, Competency and Value, Governance, Partnership, Scope and Architecture, and Skills against the Business strategy, Information strategy, Business and Technology of a digital library. As for the content of analysis, social network structure and specific features were analyzed in relation to a digital library's (1) General social network, (2) Structure of strategy alignment elements, (3) Strategy fit and Functional integration.

• Proceedings of the Korea Society of Design Studies Conference
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• 2004.10a
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• pp.230-231
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• 2004

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2009.10a
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• pp.44-47
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• 2009

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.448-459
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• 2020

Recently, the necessities of gathering, producing, and sharing criminal information are critically important as intelligence functions of police agencies to improving public safety and national security. However, the inadequacies and barriers within which police agencies have in regard to intelligence functions impede criminal information gathering, intelligence producing within their agency, and intelligence sharing with other agencies. In this study, we analyzed informal networks constructed from a survey dataset of information and intelligence sharing among officers in police agencies. The results revealed the different structural properties of intelligence networks between police agencies. We did find that officers with high indegree and outdegree in a network played critical role on the dynamics and degree of intelligence gathering and assessment responsibilities. Finally, we could find evidence that the potential role of intermediary triggered relational dynamics for developing and sharing critical information among all police agencies.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.129-136
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• 2020

The purpose of this study is to identify the influence of external-social and cultural factors on the perception of corruption in the public society through the Structural Equation Model(SEM) and to seek ways to reduce corruption in the public society. Currently the level of corruption in public sectors that people think is still large, and it is necessary to continuously reduce corruption in public sectors in order to improve national competitiveness. Since one society is a part of a country in system theory and social network theory, public society needs quantitative research in order to find the causes of corruption and solve them. The model was built and the variables were defined in SEM based on 600 questionnaires. As a result of analysis, corruption in public offices has decreased since the implementation of the solicitation and graft law, and socio-cultural factors have had a direct impact on corruption in public offices. The further research area is to seek detailed ways for transforming the education and awareness of civil society across the country in addition to the efforts of the public officials themselves in order to reduce corruption in public offices.

• Informatization Policy
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• v.25 no.2
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• pp.67-83
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• 2018

This study explores how social media influences individual's social development and well-being. Social media is discussed as an effective tool when individuals lacking social and psychological resources are trying to expand their social networks. This study focuses on the social media use of North Korean defectors, who, in general, have closed social media networks in the South Korean society. This study tries to analyze empirically the effect of social media use on North Korean defectors' satisfaction with our society. In particular, this study focuses on how the use of social media influences satisfaction with their life in South Korea at different levels of their emotional states. This study explores that the relationship between social media and satisfaction with their life in South Korea varies based upon the degree of self-esteem and anxiety. This study expects that social media might provide greater benefits for those who are experiencing low self-esteem and high anxiety. In addition, this study conducts the same analysis for the general public and then compares its results with the survey on North Korean defectors. According to the results of North Korean defectors' survey, the impact of social media use on satisfaction with their life in South Korea was greater for those with high anxiety than for those with low anxiety. Meanwhile, the impact was greater for those with high self-esteem than for those with low self-esteem.

• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.151-159
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• 2015

This article analyzes English abstracts of the articles published in Journal of the Korean Data & Information Science Society using text mining techniques. At first, term-document matrices are formed by various methods and then visualized by social network analysis. LDA (latent Dirichlet allocation) and CTM (correlated topic model) are also employed in order to extract topics from the abstracts. Performances of the topic models are compared via entropy for several numbers of topics and weighting methods to form term-document matrices.

• Journal of Korean Home Economics Education Association
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• v.31 no.3
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• pp.73-90
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• 2019

The purpose of this study was to explore the differences in perceptions of male and female students about population problems and to draw up implications for population education. Using text mining, the report about population problem, which had written by students in population education class, were analysed. After extracting key words, semantic networks were visualized. The results were as follows. First, the high frequency words were the same for each gender. Second, key words based on frequency did not differ depending on gender. And the key words extracted by the correlation analysis and bigram were different. That is, in the semantic network of girls' words, the network of "life"-"marriage"-"birth"-"pregnancy" appeared independently, distinguishing it from male students who showed separate objective links to population problems. Therefore, it drew suggestions that male and female students should be viewed as heterogeneous groups with different cognitive structures on population problems and that the content and methods of population education should be approached differently depending on gender.