• Journal of the Korean association of regional geographers
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• v.22 no.1
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• pp.36-48
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• 2016

This paper analyzed the process of modernization in terms of the social structure in Geomundo. Before modernization, social structure in Geomundo was traditional society by a village unit. A village had community rituals and organization. There were independent parallel spatial structure among villages. In the early Japanese colonial period, 'forced modernization' had been occurred by Japanese immigrants settling in a separate living space. The modernization was transplanted in a new established village and diffused into other villages. In the process of forced modernization, the connection among villages was reinforced, as the result of that modern social organization was emerged, and the characteristics of community rituals had been changed. During modernization indigenization period, advanced fishery technology and distribution system occurred capitalist production system helping to place modern norms in the general daily life. In the late Japanese colonial period, aided organizations from local government and informal organizations reversed the trend of modernization through helping colonial exploitation policy. The spatial structure in Geomundo had become to hierarchical structure with intensified connectivity as the result of extensive spread of community territory. Modernization in Japanese colonial period was 'forced modernization' and could not re-established the community spirits. The community spirit has been broken up by dissolving the existing self regulating and self motivated organization.

• Korean Journal of Health Education and Promotion
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• v.8 no.1
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• pp.34-44
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• 1991

Since it was found out that the degree of medical contribution to health was timid. the direction of health policy studies has been focused on the personal health behavior. Participation in health has been closely related to the behavior. Those who have insisted on the new direction believe that the health policy laying stress on low cost and personal responsibility can avoid the pathology of medical policy and medical crisis. Participation in health has been very important method of changing health behaviors. It is certainly important to change bad health behaviors. But there is no deliberation of social structure here. Most health behaviors are the adaptation to social structure. The attempt to change the established adaptation behaviors without considering social structure is difficult to succeed. It is little meaningful to say the importance of the health behavior to those who have no choice but to be ill due to the poor environment and health risks. What can guarantee the real direction of community participation at least is the consciousness and behaviors of people's right.

• Korean Management Science Review
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• v.25 no.3
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• pp.123-133
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• 2008

We investigate the relationship between ownership structure and firm performance. For this paper, we use the 'donation' figure from the income statement of each firm as a measure of firm Performance lather than short-term financial measure that has been wifely used by previous studies. Our results are consistent with the idea that family ownership is both prevalent and substantial in Korea. More importantly, however, non-family firms are found to give more donations than family firms. This suggests that non-family firms more readily recognize the significance of corporate social responsibility and play an active role in philanthropy.

• Korean Management Science Review
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• v.32 no.2
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• pp.15-35
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• 2015

Large business groups typically have central firms through which their controlling families establish (or acquire) new firms and maintain control over other member firms. Research on corporate governance has developed metrics to identify those central firms and investigated an impact of the centrality on ownership structure and firm's financial performance. This paper introduces centrality metrics used in social network analysis (SNA) to measure how crucial a role each firm plays in the ownership structure of its business group. Then, the SNA centrality metrics are compared with the metrics developed in corporate governance field. Also, we test the relationship between the SNA centrality metrics and firm's value. Experimental results show that the SNA centrality metrics are closely correlated with the centrality metrics used in corporate governance and are significantly correlated with firm's value.

• Journal of Families and Better Life
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• v.33 no.6
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• pp.1-14
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• 2015

The purpose of this study was to explore structural relationships among social support, parenting stress, self-perception and parenting behavior perceived by mother and provide preliminary data useful for desirable parenting behavior. For this purpose, the data of fourth wave Panel Study on Korean Children(PSKC) including social support, parenting stress, self-perception and parenting behavior measured by 1,746 mothers with 3-year-old children were analyzed. We identified structural relationships among the variables using SPSS 18.0 and AMOS 18.0 applying structural equation modeling. Measurement model and structure model had favorable goodness of fit and the results of structure models on each path were as follows. First, parenting behavior had positive correlations with social support and self-perception but there was a negative correlation between parenting behavior and parenting stress. Second, the relationship between social support and self-perception was mediated by parenting stress and parenting stress and self-perception mediated the relationship between social support and parenting relationship. In conclusion it is required to raise awareness about the importance of development of various parent education programs and parenting behavior.

• Journal of Korean Academy of Nursing Administration
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• v.8 no.3
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• pp.431-439
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• 2002

Purpose : Nursing profession has been rapidly changed due to the development of bioscience and the change of medical service environment. Nursing profession that has been focused on only care giver's role like mother's in tradition, is required careful reflection new nursing role to cope properly to the change of medical service environment. In nursing profession, the concept of the role was used without an accurate definition, as a results, the concept of the role was mixed with the concept of the "activity", "job" and "function". Therefore, concept analysis of the role in nursing profession is needed to remove conceptual ambiguous and make confirm the true meaning of the role. Concept analysis is a strategy that examine the characteristics of a concept. It is a formal linguistic exercise to determine those defining attributes. The basic purpose of concept analysis is to clarify ambiguous concept in theory, and propose operational definition which reflects the theoretical base of the concept. Method : In this study, the concept of the role in nursing profession which was analyzed based on the steps of concept analysis by Walker & Avant(1988). Results : The attributes of the concept of the role in nursing profession are : 1. Basic factors to construct social structure. 2. Expected attitudes, values, behavior patterns according to the social status and position in social structure. 3. Perceptive attitudes, values, behavior patterns in order to social interaction. 4. Acquiring through continuous communication and learning. 5. Not fixative but changeable. The antecedents of the role in nursing profession are : 1. The social status and position which is possessed by a person. 2. Expected attitudes, values, behavior patterns according to the social status and position in social structure. 3. Acquiring through continuous interaction, communication, and learning process. And the consequences of the role in nursing profession are : 1. The role maintenance and the role expansion as a positive consequences. 2. The role conflict and the role loss as a negative consequences. Conclusion : Through this concept analysis, the concept of the role in nursing profession is defined as As basic factors to construct social structure, person's attitudes, values, behavior patterns which are expected from other social members according to person's social status and position, and perceived and acquired through continuous interaction, communication, and leaning process.

• Journal of the Korean Society for information Management
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• v.27 no.2
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• pp.61-74
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• 2010

The knowledge sharing in a knowledge management process is much affecting generation and distribution of knowledge. Especially, the knowledge distribution is being revitalized with the center of social media service like twitter and library service 2.0 in the knowledge-based IT (Information Technology) environment. The present research analyzed the structure and characteristics of a social network inside an organization that is growing like an organism through self-organization through tools for SNA (Social Network Analysis) and multiple regression analysis of independent variables such as 1) a relationship between social network's structure and knowledge sharing, 2) a relationship between structural holes and knowledge sharing influence of centrality, 3) a relationship between individual ability and knowledge sharing of information technology and work recognition.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.1
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• pp.61-71
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• 2014

Social networking services have changed the way people communicate. Rapid growth of information generated by social networking services requires effective search methods to give useful results. Over the last decade, social search methods have rapidly evolved. Traditional techniques become unqualified because they ignore social relation data. Existing social recommendation approaches consider social network structure, but social context has not been fully considered. Especially, the friend recommendation is an important feature of SNSs. People tend to trust the opinions of friends they know rather than the opinions of strangers. In this paper, we propose a levelized data processing method for social search in ubiquitous environment. We study previous researches about social search methods in ubiquitous environment. Our method is a new paradigm of levelelized data processing method which can utilize information in social networks, using location and friendship weight. Several experiments are performed and the results verify that the proposed method's performance is better than other existing method.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.3
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• pp.209-216
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• 2012

The purpose of this study is to find the UCC (User Created Contents) communication structure in the perspective of smart-phone technologies or SNS (Social Network Service). In developing the research model, we have focused on selecting the success factors appropriate for the UCC through reviewing past researches and on developing more accurate success measures. The model consists of relation each service (Facebook linked in Flickr and so on), relation of trust, transfer to Social Capital and so on . The result shows thar process of trust based in UCC is the most important determinants of structure and organization network. And collaboration relationship is the most important of SNS used in SSO and Open-API technologies. The practice characteristic of UCC has direct and indirect effect on SNS of improving social trust.

• Journal of KIISE
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• v.44 no.11
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• pp.1231-1235
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• 2017

Given the network structure in online social network, it is important to determine a way to distinguish spam accounts from the network features. In online social network, the service provider attempts to detect social spamming to maintain their service quality. However the spammer group changes their strategies to avoid being detected. Even though the spammer attempts to act as legitimate users, certain distinguishable structural features are not easily changed. In this paper, we investigate a way to generate meaningful network structure features, and suggest spammer detection method using recursive structural features. From a result of real-world dataset experiment, we found that the proposed algorithm could improve the classification performance by about 8%.