• Research in Community and Public Health Nursing
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• v.30 no.3
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• pp.345-356
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• 2019

Purpose: The purpose of this study is to construct and test a structural equation model of posttraumatic growth (PTG) of earthquake victims based on Tedeschi and Calhoun's model (2004). Methods: Data were collected from 195 earthquake victims living in K. City. The exogenous variables include distress perception, resilience, and social support, and the endogenous variables include intrusive rumination, deliberate rumination, and posttraumatic growth. For data analysis, descriptive statistics, factor analysis, and structural equation modeling were performed. Results: The modified model showed a good fitness to the data. Moreover, 6 of the 9 paths of the final model were statistically significant, which include PTG affected by deliberate rumination (${\beta}=.58$, p<.001), resilience (${\gamma}=.18$, p=.001), and distress perception (${\gamma}=.20$, p=.002). These predictors explain 51.8% of variance in posttraumatic growth. Conclusion: Based on the results of this study, it is necessary to develop and disseminate preventive intervention programs to increase the resilience of earthquake-prone communities. In addition, after exposure to a community-scale traumatic event such as earthquake, we should provide social supports to alleviate distress perception and transition from intrusive rumination to deliberate rumination so that we can seek new meaning from the earthquake and facilitate posttraumatic growth.

• Asian Journal for Public Opinion Research
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• v.8 no.4
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• pp.432-452
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• 2020

This study explored the representation of risks from the controversial Lynas rare earth refining as a risk event by five Malaysian online mainstream and alternative newspapers using qualitative content analysis. The aim is to uncover the role of the news media in the social amplification and attenuation of risks within the literature evidence as those roles are still uncertain. Content analysis is used to explore the online newspapers' roles guided by the Social Amplification of Risk Framework (SARF). The representations typified environmental, financial, health, occupational, property, radioactive, and technological risks and established connections between four risk types (environmental, financial, radioactive, and health risks). Radioactive risk was repeatedly associated with other risks, suggesting that the volume and information flow focused on radioactive risk as a key ingredient for amplification. This connection shows that the nature of the relationship between risks is multidimensional, contradicting the unidirectional type found in previous studies. Alternative online newspapers amplified and attenuated more risks, thus, providing more diverse coverage than mainstream sources. Consequently, this study provides evidence that risk representation from rare earth refining in a digital news environment is multidimensional and intensified or weakened in a multi-layered pattern. The stakeholders are engaged in a contestation by positioning their narratives to oppose or support their interests, which are amplified or attenuated by the online newspapers as social amplification stations.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.305-316
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• 2021

The objective is to recognize the better opportunities from targeted reveal advertising, to show a banner ad to the consumer of online who is most expected to obtain a preferred action like signing up for a newsletter or buying a product. Discovering the most excellent commercial impression, it means the chance to exhibit an advertisement to a consumer needs the capability to calculate the probability that the consumer who perceives the advertisement on the users browser will acquire an accomplishment, that is the consumer will convert. On the other hand, conversion possibility assessment is a demanding process since there is tremendous data growth across different information dimensions and the adaptation event occurs infrequently. Retailers and manufacturers extensively employ the retail services from internet as part of a multichannel distribution and promotion strategy. The rate at which web site visitors transfer to consumers is low for online retail, out coming in high customer acquisition expenses. Approximately 96 percent of web site users concluded exclusive of no shopper purchase[1].This category of conversion rate is collected from the advertising of social media sites and pages that dataset must be estimating and assessing with the concept of big data clustering, which is used to group the particular age group of people along with their behavior. This makes to identify the proper consumer of the production which leads to improve the profitability of the concern.

• The Korean Journal of Emergency Medical Services
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• v.5 no.1
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• pp.147-164
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• 2001

The purpose of this study was to examine the hypothetical model designed to explain the post-traumatic stress and burnout in firefighters. Six exogenous variables such as career, control, impact mobilization frequency, life event, work burden, social support, and four endogenous variables, eg., mobilization impact, coping, post-traumatic stress, burnout were considered for the study. The target population for the distribution of the questionnaire was 428 firefighters in Daejeon, Chungnam Province, Seoul and Kyonggi Province. The data was collected about five weeks, July 12-August 25, 1999. The survey instrument was 8 control items by Seo(1995), 10 life event items by Brugha and Cragg(1990), 20 work burden items by Choi(2000), 12 social support items by Park(1985), post-traumatic stress of 17 items by Foa et al.(1998) and 45 items by Kang(1997). The reliability of the survey instrument and the cronbach's alpha was .62 - .93 level. SAS PC Program and LISREL 8.12a program were used for descriptive statistics and linear structural relationship(LISREL) modeling. Based on the data collected, the following results were obtained. 1. The overall fit of the hypothetical model to the data was good (${\chi}^2=54.65$ [df=17, p=0.000007], RMSEA=0.07, standardized RMR=0.03, GFI=0.98, AGFI=0.91, NFI=0.90, NNFI=0.75). 2. After considering statistical significance and theoretical meaningfulness of paths of the model, a modified model was sought. Compared to the hypothetical model, the modified model has become parsimonious and had a better fit to the data(${\chi}^2=55.90$ [df=20, p=0.0003], RMSEA=0.06, standardized RMR=0.03, GFI=0.98, AGFI=0.93, NFI=0.90, NNFI=0.80). 3. The results of statistical testing of hypotheses were as follows: (1) Work burden, career had a significantly direct effect on mobilization impact. These variables explained 9% of the total variance of mobilization impact. (2) Control, social support, work burden, mobilization impact had a significantly direct effect on coping. These variables explained 15% of the total variance of coping. (3) Control, work burden, social support, coping had a significantly direct effect on post-traumatic stress. These variables explained 49% of the total variance of post-traumatic stress. (4) Coping, post-traumatic stress had a significantly direct effect on burnout. These variables explained 60% of the total variance of burnout.

• Korean Journal of Social Welfare Studies
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• v.48 no.4
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• pp.221-249
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• 2017

This study aims to investigate determinants that affect job retention of injured workers depending upon types of return to work in order to suggest define the intervention priority for those who returned to original works and for those who did not. After constructing explaining variables based on literature reviews, determinants were verified analyzing 1,292 people using Panel Study of Worker's Compensation Insurance(PSWCI) data. The job retention period turned out to be 46.6 months for those who returned to original work and 34.2 month for those who returned to new works. Injured workers who return to new works tend to have more unemployment experiences. As a result of Cox proportional regression analysis, the longer it takes to return to work, the longer both groups tend to retain after the accident. Age, recuperation period, health status, psycho-social rehabilitation, education and occupational training also affect on job retention probability for those who return to new work. Based upon the analyzed result, setting up an adequate duration for return-to-work, intervention for injured workers who experienced vulnerable working condition before the accident and continuous case management after return-to-work are suggested.

• Journal of Korean Society of societal Security
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• v.2 no.1
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• pp.57-64
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• 2009

With the increase in construction of long railway tunnel, social interest in the railway tunnel fire risk has also increased. However, quantitative fire risk research on this topic is still lacking, especially in terms of consideration of uncertainty of each variables used in risk analysis. Hence, in this study, to improve the overall performance of fire risk analysis technique for railway tunnel, Monte-Carlo simulation method is added to the traditional probabilistic risk analysis based on event tree approach and its validity is investigated by applying it to the real railway tunnel project.

• Journal of the Korean Institute of Gas
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• v.14 no.5
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• pp.38-44
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• 2010

This treatise analyzed the risk of propylene transported by railroad through quantitative analysis. As a result of survey on propylene transportation route, Iksan station, Suncheon station and Jeonju station were selected as object regions those were expected to have high accident risks. This treatise deduced the scenario of accident and the occurrence rate in accordance with the type of accident possibly to be happening during propylene transportation through ETA( Event Tree Analysis), and expressed the level of personal, social risks after calculating the level of demage influencing over surroundings based on the evaluation for the expected accident damage through PHAST 6.53.

• Journal of Korean Library and Information Science Society
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• v.40 no.1
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• pp.385-404
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• 2009

The purpose of this study is to survey the events which school libraries have practiced for reading education and to do the suggestions on the revitalization of events which are related to the reading education. The results of this study is like following; 1) Teacher-librarians should be employed to school libraries. 2) School libraries ought to make a plan for the events which are related to the reading and libraries and practice it. 3) School libraries have to inform the news according to reading education events through the webpage of school libraries. 4) The budget for reading education should be obtained. 5) The administrative assistance is needed for the reading education events. 6) Teacher-librarian should make the plans for reading education based on the social memorials.

• Knowledge Management Research
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• v.13 no.5
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• pp.139-160
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• 2012

Win-win growth between large companies and small and medium enterprises (SMEs) become a critical encomic and social issue in Korea. Korea government has been attempted to establish strong policy to build right win-win relationship between large companies and SMEs. Along with this strong drive from Korea government, a variety of strategies that enhance win-win relationships between large companies and SMEs have been adopted. Win-win growth policy is expected to provide positive impact on sustainable competitive advantage of firms. Therefore, many studies have focused on the win-win growth policy success factors, type of the policy, and the results of the policy. Although there is much literature on the win-win growth policy, the effects of win-win policy on firm value is not well understood. We addressed this issue by exploring how win-win growth policy influences a firm's market value using event study methodology. We evaluated the cumulative abnormal returns for win-win growth policy announced by Korean large firms from 2004 to 2012. The results of this study insisted that the announcements of win-win growth policy show negative impact on firm's market value, which is not consistent with previous studies. The findings of this study offer insights that may help government policy makers and managers to revise their policy for better outcomes of their win-win growth policy.

• Annual Conference on Human and Language Technology
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• 2012.10a
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• pp.53-57
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• 2012

본 논문은 소셜 미디어 기반 의사결정 지원 시스템인 '소셜위즈덤'에 포함된 이벤트 템플릿 추출에 대해서 소개한다. 의사결정 지원 시스템은 경제적, 사회적 중요사항을 결정할 수 있도록 관련 정보와 인사이트(Insight)를 제공하는 정보시스템을 이른다. 기존 시스템은 단지 특정 키워드 빈도나 공기하는 키워드들의 관계만을 제공하였다. 그러나, 소셜위즈덤은 이벤트로 정의되는 주체(Subject), 이벤트 속성(Event-Property), 객체(Object)의 트리플(Triple) 집합인 템플릿을 추출하여 이를 기반으로 이벤트 정보를 함께 제공한다. 템플릿 추출은 고정밀 언어분석의 관계추출 기술과 온톨로지에 기반한 템플릿 제약 및 필터링 규칙을 이용하였다. 수작업으로 구축한 평가데이터로 평가한 결과, 템플릿 추출 성능(F-Score)은 뉴스 0.544, 블로그 0.3386, 트위터 0.3251이고 전체 통합 성능은 0.4648이었다. 필터링 성능(Accuracy)은 뉴스 0.7257, 블로그 0.6122, 트위터 0.6207이고 전체 통합 성능은 0.722이었다.