• The Journal of Korean Philosophical History
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• no.27
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• pp.417-446
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• 2009

This study was to review the features of the preventive dimension in connection with adolescent deviation on the basis of the morality and ethics held by Confucian doctrine. To find solutions to the problems of adolescent deviation is never easy. As adolescent deviation always does occur, it is important to consider the methods that can minimize and prevent it. The traditional society of Korea laid weight on the education and training in the aspect of preventive measure against such adolescent deviation by emphasizing moral edification and realization of spiritual understanding for it. In this paper, the researcher tried to understand the problem situations by examining the image of such deviation and its type as well as the method on response thereto targeting the young generation of Korea. In addition, the researcher analyzed how the adolescent was recognized in the traditional society that was established on the Confucian values, and moral standards that applied to them, and the process of education as well. Through the moral concepts of Confucianism that were revealed in the Doctrine of the Mean (中庸, pronounced 'Jungyong' in Korean) in particular, the researcher sought the possibility of education on morality and ethics that will be able to prevent adolescent deviation. This study suggests that the morality and ethics held by Confucian doctrine can prevent adolescent deviation and open a new horizon of ethics education.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.1
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• pp.85-99
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• 2019

Startups need proper external supports to survive and build strong foundations for growth in their early stage. Accelerators help such startups by providing tangible and intangible resources. Accordingly, accelerators are creating a social environment that can effectively support the startups in the early stage, distinct from other institutions that fund or help the startups. However, the actual impact of accelerators on startups has not been yet fully scrutinized thoroughly, especially with the lack of theoretical lenses to comprehend accelerators. This paper aims to build a theoretical foundation to understand the role of accelerator, focusing on the network-based perspective. We briefly overview the concept of accelerator and the current status of the accelerator industry. Subsequently, focusing on the network that accelerators and startups create, this paper examines how the characteristics of the network relationships affect the growth and survival of the early-stage startups. Thus, by offering systematic analysis of the underlying mechanisms of the effects of the accelerators under network-based approach, this paper suggests a direction for the future empirical research on the topic of startup accelerator.

• Korean Journal of Social Welfare
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• v.52
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• pp.241-272
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• 2003

The Self-Support Program was introduced as an antipoverty policy at 2002 year in Korea. But, the Self-Support Program's negative or positive effects have been debated from diverse perspectives to the present. Thus, in this paper, we analyzed the effects of the Self-Support Program using the survey data from program participants. Even though the effects of Workfare Programs can be evaluated by various indicators(ex. income, employment status, poverty status, etc.), in our analysis the effects of the Self-Support Program are evaluated by participants' self-reliant attitudes and behaviors. Major findings are as follows. First, we found that some kinds of self-reliant attitudes(ex. work commitment, self-esteem, etc.) were build up through participation on the Self-Support program, but some kinds of self-reliant factors(job competence and skill, self-sufficiency prospect, etc.) which are more relevant to the self-sufficiency were not build up thorough it. Second, we found the positive effects of the program among people who are females, olders, less educated, more healthy, and the participants who have acquired more certificate of qualifications. Third, we also found that self-support center's job training program, adequate task matching, agency climates and intra-networks influence on the positive effects of the Self-Support Program. These findings suggest that the Self-Support Program has not been successful up to now and it's reformations are required. It means that objectives of the Self-Support Program as an anti-poverty policy must be obvious and program contents must be diverse. And also program administration systems need to be reformed in oder to raise the effectiveness of the Self-Support Program.

• Journal of Internet Computing and Services
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• v.22 no.1
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• pp.109-135
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• 2021

his study classified the development process of artificial intelligence (AI) speakers through analysis of the news text of artificial intelligence (AI) speakers shown in traditional news reports, and identified the characteristics of each product by period. The theoretical background used in the analysis are news frames and topic frames. As analysis methods, topic modeling and semantic network analysis using the LDA method were used. The research method was a content analysis method. From 2014 to 2019, 2710 news related to AI speakers were first collected, and secondly, topic frames were analyzed using Nodexl algorithm. The result of this study is that, first, the trend of topic frames by AI speaker provider type was different according to the characteristics of the four operators (communication service provider, online platform, OS provider, and IT device manufacturer). Specifically, online platform operators (Google, Naver, Amazon, Kakao) appeared as a frame that uses AI speakers as'search or input devices'. On the other hand, telecommunications operators (SKT, KT) showed prominent frames for IPTV, which is the parent company's flagship business, and 'auxiliary device' of the telecommunication business. Furthermore, the frame of "personalization of products and voice service" was remarkable for OS operators (MS, Apple), and the frame for IT device manufacturers (Samsung) was "Internet of Things (IoT) Integrated Intelligence System". The econd, result id that the trend of the topic frame by AI speaker development period (by year) showed a tendency to develop around AI technology in the first phase (2014-2016), and in the second phase (2017-2018), the social relationship between AI technology and users It was related to interaction, and in the third phase (2019), there was a trend of shifting from AI technology-centered to user-centered. As a result of QAP analysis, it was found that news frames by business operator and development period in AI speaker development are socially constituted by determinants of media discourse. The implication of this study was that the evolution of AI speakers was found by the characteristics of the parent company and the process of co-evolution due to interactions between users by business operator and development period. The implications of this study are that the results of this study are important indicators for predicting the future prospects of AI speakers and presenting directions accordingly.