• Korean Journal of Social Welfare
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• v.66 no.2
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• pp.287-317
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• 2014

The study conducts a comparative study of the supporting systems and methods of social enterprises in Korea, Japan, and Hong Kong to propose a policy on sustainable growth of social enterprises and their long-term activation. By investigating previous studies, this researcher drew the frame of a comparative analysis and conducted the comparative analysis. First, regarding the supporting system for social enterprises, it was found that Korea had better institutional foundation and system, whereas Japan had better activation, cooperation and network of intermediary support organizations. In Korea there is the law related to social enterprises, and the government takes control of all of the organization in charge of the policy, intermediary support organizations, cooperation and network, and authentication system. However, Hong Kong has yet to establish a basic institutional system to grow and activate social enterprises, and foreign intermediary supporting organizations increase the network and cooperation level to support social enterprises. Thirdly, for supporting methods for social enterprises, there were direct financial support, indirect business support and other kinds of support in Korea, whereas indirect support was activated in Japan. Although The Hong Kong government barely supports social enterprises, it comes up with a plan to support the firms serving as social enterprises under its the 12th 5-year development plan. For sustainable growth of Korean social enterprises, this study suggested the change of the government policy to the direction of creating social enterprise ecosystem through cooperation and network activation, indirect support in the middle of process, and activation of intermediary support organizations.

• The Korean Journal of Community Living Science
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• v.14 no.1
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• pp.13-35
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• 2003

This study aims at analyzing the leadership-types that have been affecting the social capital of community organization. The methods for this study are literatures review and survey to community organizations in Daegucity and Kyungpook. The questionnaires are sent to 426 leaders who are community organization leaders, 35.%(150) of the total returned questionnaire. The statistical methods used for the data were frequency, percentile, and regression. The major findings of this study are summarized as follows: 1)Direction for improving the social capital of community organization aspect of respondent's personal characteristic (1)female members' rate of community organization should be more high. (2)leader's age is to be over fifty, and educational background of high school is resonable. (3)the leader's religious is buddhism, the leaders of community organization should take the adult education program that related to leadership. 2)Resonable leadership-types to improve the social capital of community organization as follow; (1)reformative leadership is more important than trading leadership for affecting positively the social capital of community organization. (2)the authoritative leadership of reformative leadership-types is the most important than anyone else. (3)the condition-reward leadership of trading leadership types is affecting positively the social capital of community organization. And the authoritative leadership is needed for increasing the social capital of community organizations in Daegucity and Kyungpook.

• Journal of Information Processing Systems
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• v.20 no.2
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• pp.200-214
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• 2024

Amid the flood of data, social network analysis is beneficial in searching for its hidden context and verifying several pieces of information. This can be used for detecting the spread model of infectious diseases, methods of preventing infectious diseases, mining of small groups and so forth. In addition, community detection is the most studied topic in social network analysis using graph analysis methods. The objective of this study is to examine signed attributed social networks and identify the maximal balanced cliques that are both absolute and fair. In the same vein, the purpose is to ensure fairness in complex networks, overcome the "information cocoon" bottleneck, and reduce the occurrence of "group polarization" in social networks. Meanwhile, an empirical study is presented in the experimental section, which uses the personal information of 77 employees of a research company and the trust relationships at the professional level between employees to mine some small groups with the possibility of "group polarization." Finally, the study provides suggestions for managers of the company to align and group new work teams in an organization.

• Knowledge Management Research
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• v.21 no.2
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• pp.1-19
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• 2020

The purpose of this study is to suggest a practical way to measure and report corporate social performance as public interest in corporate social value pursuits increases. In particular, we will look for ways to measure and report on the financial and social performance of a company based on the concept of the Double Bottom Line (DBL), which has recently spread to big companies. For this purpose, this study analyzed the theoretical background and practical techniques related to measuring and reporting corporate social performance, and examined methods for measuring and reporting social performance in the existing financial performance measurement system. As a result, SROI was the most suitable method for measuring social performance of a company. It is recommended that social performance reporting follows the disclosure method of the accounting system, and the details of reporting suggest that using the standard of GRI Standard, an international standard related to sustainability reporting, is the most reasonable alternative to 'Double Bottom Line' performance reporting.

• Journal of Acupuncture Research
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• v.31 no.1
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• pp.159-165
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• 2014

Background and objectives : Social phobia is a nervous anxiety characterized by one or more constant fear in social activity or specific situation which causes serious damage to individual's social functions leading to chronic functional impairment when it is untreated. The objective of this study is to report a new finding of a possible subtype of social phobia according to a case survey and study of sufferers found via online support group. Methods : A single case review using survey and interview on patient was employed. Following a no-treatment baseline period for examination and interview, biweekly acupuncture treatment with interview for in-depth examination was delivered for 6months. Also, for in-depth investigation of peripheral vision phobia, survey questionnaire was done by the members of a Korean support group on on-line social group forum. Result : A new type of social phobia which has not yet been reported nor mentioned in any journals, namely called 'peripheral vision phobia' has been identified. Biweekly acupuncture treatment reached a comfort state of mental status on one case of patient with social phobia. Limitation : Due to the shift of environment on patient's part, the termination of the school session at where the phobia occur the most, the reoccurrence of the phobia is yet to be examined. Also, the generalization of the new type of phobia as a subtype only by reviewing one case alone with survey interview of on-line social group has limitation. Conclusion : The result of the case review suggests that 'peripheral vision phobia' is strictly concentrated on malfunctioning of peripheral vision without functional or organic hindrance of pupils or of any parts of eyes including eye muscles due to peripheral vision phobia. PVP is similar to social phobia and it may be a subtype of social phobia, however, since etiology, diagnosis, medical treatment methods are under researched, investigation is yet to be done.

• The Journal of Korean Society for School & Community Health Education
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• v.21 no.2
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• pp.1-14
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• 2020

Objectives: The purpose of this study was to identify factors(perceived health and social support) affecting social capital formation of the elderly. Methods: Samples consisted of 184 people aged over 65 years old in one county of Kyungsangbukdo. Data were analyzed with t-test, ANOVA and regression analysis. Results: First, social support(both emotional support and instrumental support) were significantly different by economic status. Secondly, regression analysis showed that perceived health affected a positive influence on social capital in Model1, which analyzed only perceived health. However, Model2, which analyzed perceived health and social support(emotional support, instrumental support) at the same time, showed that only instrumental support affected social capital formation. Conclusions: It was suggested to develop customized health promotion and job creation are required for social capital formation of the elderly.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.2
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• pp.19-27
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• 2011

Recent development of information technologies produces a lot of community services. Social Network Service is one of the community services on the world wide webs. In the Social Network Service, a user can register other users as friends and enjoy communication through a virtual message. Previous researches show a few social service methods using manually generated tagging. However, the manual social tagging is not widely used in many social network services. Moreover, they do not consider ubiquitous computing environment. We propose a recommendation method for social service using contexts in ubiquitous environment. Our method scores documents based on context tags and social network services. Our social scoring model is computed by both a tagging score of a document and a tagging score of a document that was tagged by a user's friends.

• Asia Marketing Journal
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• v.21 no.3
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• pp.65-82
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• 2019

This study examines the relationship between social media advertisement and customer interest in the context of luxury brands. Further, this study investigates the effective ways to utilize visual types (pictorial advertisement and video advertisement) and contents types (website link and hash-tag) in social media advertising by proposing a time-series model to estimate the long-term effect of social media advertising on social search. We find that the pictorial advertisements are more effective than video advertisements, which provides a different result from previous existing research. In addition, advertisements using hashtags are more effective than web links due to efficiency of the search feature. Finally, since the number of brand fans also have a positive effect on advertising interest, it is essential to utilize social media advertising for the enhancement of customers' interests. Confirming that the effectiveness of social media advertising varies depending on how the visual contents and text are presented, this research can help marketing managers to assess predicted outcomes of using various methods of social media advertising.

• Communications for Statistical Applications and Methods
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• v.18 no.5
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• pp.595-601
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• 2011

A community of the social network refers to the subset of nodes linked more densely among them than to others. In this study, we propose a Monte-Carlo method for generating random social unipartite and bipartite networks with two or more communities. Proposed random networks can be used to verify the small world phenomenon of the social networks with several communities.

• Smart Media Journal
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• v.6 no.3
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• pp.41-48
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• 2017

Event detection using social media has been widespread since social network services have been an active communication channel for connecting with others, diffusing news message. Especially, the real-time characteristic of social media has created the opportunity for supporting for real-time applications/systems. Social network such as Twitter is the potential data source to explore useful information by mining messages posted by the user community. This paper proposed a novel system for temporal event detection by analyzing social data. As a result, this information can be used by first responders, decision makers, or news agents to gain insight of the situation. The proposed approach takes advantages of deep learning methods that play core techniques on the main tasks including informative data identifying from a noisy environment and temporal event detection. The former is the responsibility of Convolutional Neural Network model trained from labeled Twitter data. The latter is for event detection supported by Recurrent Neural Network module. We demonstrated our approach and experimental results on the case study of earthquake situations. Our system is more adaptive than other systems used traditional methods since deep learning enables to extract the features of data without spending lots of time constructing feature by hand. This benefit makes our approach adaptive to extend to a new context of practice. Moreover, the proposed system promised to respond to acceptable delay within several minutes that will helpful mean for supporting news channel agents or belief plan in case of disaster events.