• Journal of Convergence for Information Technology
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• v.10 no.3
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• pp.1-6
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• 2020

Information System is influenced by the innovation of new IT. Therefore, IS should response to external environment's changes quickly. Particularly, resilience should be considered in barriers of IS. This study suggests a new information system evaluation model in which resilience is added to the existing factors of Delone and Mclean. Then the effect of resilience is evaluated through the DEA(Data Envelopment Analysis) based on a survey targeting 115 users of a mid-sized manufacturing company. The results show that the effect of resilience is stronger than any other factors in the previous researches. We, thus, suggest that the resilience should be included as an evaluation factor of the ISO27001 information security standard in order to enhance the absorptive capacity of the information system.

• International Area Studies Review
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• v.18 no.3
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• pp.293-316
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• 2014

This paper examined a comparative study on the domestic violence of general families and multicultural families using meta analysis. Based on the analysis of one twenty studies of domestic violence as seven studies of social welfare, seven studies of education, and six studies of counseling and psychology, the following results were found. First, domestic violence, effective sample size, have a significantly difference on domestic families and multicultural families. Second, fixed effect model, compared to random effect model, have a significantly difference on the domestic violence of domestic families and multicultural families. Third, domestic violence, relative and cumulative effects, have a significantly difference on domestic families and multicultural families.

• Korean Journal of Construction Engineering and Management
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• v.17 no.3
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• pp.108-115
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• 2016

The price determinant for land investment depends on the internal information process and subjective decision making by management in general. Accordingly, the systematic frame to determine the feasibility of investment price to the public residential land for multi-housing development by private sector has not been proposed. The purpose of this study is to explore the frame to determine the investment price for public residential land from the perspectives of land attribute and apartment market factor. Multiple regression has been implemented to confirm the eligibility of proposed model. Research findings indicate that the land area, floor area ratio, coverage ratio, location have been identified as the total land cost determinant, and for the determinants for floor area land cost, the ratio of apartment, sale price, rent price, etc, have been identified. This research intends to provide the basis for land providers to predict the land value as a raw material in market and present the indicators for land buyers to review the price adequacy for the investment.

• Journal of the Economic Geographical Society of Korea
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• v.22 no.3
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• pp.351-365
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• 2019

This study aims to predict the changes in population distribution in Korea by considering spatio-temporal characteristics of major migration reasons. For the purpose, we analyze the spatio-temporal characteristics of each major migration reason(such as job, family, housing, and education) and estimate the transition probability, respectively. By appling Markov chain model processes with the ChapmanKolmogorov equation based on the transition probability, we predict the changes in the population distribution for the next six years. As the results, we found that there were differences of population changes by regions, while there were geographic movements into metropolitan areas and cities in general. The methodologies and the results presented in this study can be utilized for the provision of customized planning policies. In the long run, it can be used as a basis for planning and enforcing regionally tailored policies that strengthen inflow factors and improve outflow factors based on the trends of population inflow and outflow by region by movement factors as well as identify the patterns of population inflow and outflow in each region and predict future population volatility.

• Journal of the Korean Data and Information Science Society
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• v.22 no.3
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• pp.401-412
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• 2011

This study uses a vector error correction model to analyze the daily time series data of the spot price of EUA (European Union Allowance). As endogenous variables, five variables are considered for the analysis, including prices of crude oil, natural gas, electricity and coal in addition to carbon price. Data period is Phase 2 period (April 21, 2008 to March 31, 2010) to avoid Phase 1 period (2005-2007) where the EUA prices were distorted. Unit-root and cointegration test results reveal that all variables have a unit root and cointegration vectors exist, so a vector error correction model is adopted instead of a vector autoregressive model.

• Journal of the Korean Society of Food Science and Nutrition
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• v.39 no.12
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• pp.1880-1892
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• 2010

The purposes of this study were to: a) provide evidence concerning the effects of emotional intelligence on job outcomes, b) examine the impacts of emotional intelligence on employee-related variables such as 'job satisfaction', 'organizational commitment', 'organizational performance', and 'turnover intention' c) identify the conceptual framework underlying emotional intelligence. A survey was conducted to collect data from foodservice managers (N=231). Statistical analyses were completed using SPSS Win (16.0) for descriptive analysis, reliability analysis, factor analysis, t-test, correlation analysis, cluster analysis and AMOS (16.0) for confirmatory factor analysis and structural equation modeling. The concept of emotional intelligence (EI) has been on the radar screens of many leaders and managers over the last several decades. The emotional intelligence is generally accepted to be a combination of emotional and interpersonal competencies that influence behavior, thinking and interaction with others. The main results of this study were as follows. The four EI (Emotional Intelligence) dimensions correlated significantly with age. The means of job satisfaction score were above the midpoint (3.04 point) scale. The organizational commitment score was above the midpoint (3.41 point) scale and was higher at 'loyalty' factor than 'commitment' factor. The means of organizational performance score were above the midpoint (3.34) scale. The correlations among the four EI (emotional intelligence) factors were significant with job satisfaction; organizational commitment, organizational performance and turnover intention. The test of hypothesis using structural equation modeling found that emotional intelligence produced positive effects on job attitude and job performance. Emotional intelligence enhanced organizational commitment, and in turn, managers' attitude produced positive effects on organizational performance; emotional intelligence also had a direct impact on organizational performance. This study has identified the effect of emotional intelligence on organizational performance and attitudes toward one's job.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2007.05a
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• pp.23-26
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• 2007

본 연구에서는 Ring-Back-Tone(RBT)의 개성이 통화 상대자의 퍼스널리티를 측정하는데 영향을 끼치는가에 대하여 실험연구를 진행하였다. 음악과 통화상대자의 퍼스널리티를 측정하기 위해, 성격 5요인 모형에서 음악의 특성과 밀접한 관련을 가진 3가지 요인인 Openness(개방성), Extroversion(외향성), Neuroticism(신경성)에 중심으로 각 요인에 속하는 12가지 하위 특성(trait)를 측정 도구로 활용하였다. 예비실험에서는, 17가지의 음악의 퍼스널리터를 측정하였으며 이 중 3가지를 선정하여 본 실험의 RBT로 설정하였다(N=15). 본 실험에서는 동일한 통화 상대자의 퍼스널리티에 대하여 각각의 RBT 음악의 경우마다 측정한 결과를 비교 분석하였으며, 3가지 RBT와 RBT를 설정하지 않은 대조군에 대하여 각각 15명의 피실험자들이 참여하였다(N=60). 피실험자들은 통화 상대자의 퍼스널리티의 Openness와 Extroversion을 측정하는데 있어 무의식중에 인지된 RBT의 개성의 영향을 받는 것으로 나타났다(p<0.01). 또한 RBT개성과 측정된 통화 상대자의 퍼스날리티 간에 유사한 성향이 있음을 발견하였다(r=0.753).

• Information Systems Review
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• v.25 no.3
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• pp.59-81
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• 2023

Elderly suicide problem has become worse in South Korea. With a rapid aging of the population, the trend of suicide among the elderly is expected to accelerate, preventing elderly suicide has been considered an important societal problem. Thus, we aim to investigate various factors that explain suicidal ideation and to develop a predictive model for suicidal ideation in the context of elderly people in South Korea. To this end, this study contributes to addressing the elderly suicide problem. By using seven-year panel data from the Korea Welfare Panel Survey, we extract various potential causal factors for elderly suicidal ideation based on interpersonal theory of suicide and social disorganization theory. Then a panel logit model was employed to assess the impacts of potential factors on suicidal ideation and deep learning and machine learning algorithms were used to develop a predictive model for suicidal ideation of elderly people. The results of our study provide practical implications for preventing elderly suicide by identifying causal factors of suicidal ideation and a high suicidal risk group of the elderly. This study sheds light on synergy of mixed methodology and provides various academic implications.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.144.2-144.2
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• 2012

접촉 식쌍성 FZ Ori를 CCD 측광 관측하여 BVRI 광도곡선을 얻고, 12개의 새로운 극심시각을 결정하였다. 먼저 우리가 구한 극심시각들을 포함한 총 218개의 극심시각 자료를 이용하여 FZ Ori의 공전주기 변화를 분석하였다. 그 결과 지난 80년 동안 FZ Ori의 공전주기가 영년 증가하면서 동시에 40~50년 주기로 변화하고 있음을 발견하였다. 우리는 주기적 변화가 제3천체에 의한 광시간 효과로 나타난다고 가정하고 몬테카를로 기법을 이용하여 $X^2_r$인 자 공간에서 최적의 광시간 해를 탐색하였다. 또 이 방법으로 구한 광시간 궤도요소를 궤도 수치적분 프로그램(MERCURY, S34BODY)에 적용하여 질점으로 이루어진 가상의 삼중성계에서 나타나는 광시간 효과를 천체역학적으로 구현하여 보았다. 한편 FZ Ori의 4색 광도곡선을 가장 최근에 개정된 2010 Wilson-Devinney 프로그램에 적용하여 측광학적 해를 구하였다. 기본 시스템 인자 외에 차가운 흑점과 뜨거운 흑점, 그리고 제3광도의 세 요인들을 조합하여 구한 14개의 해 중에서 주성과 반성의 표면에 각각 차가운 흑점과 뜨거운 흑점이 있으면서 제3광도가 검출된 해가 우리의 관측과 가장 잘 맞았다. 그러나 이렇게 구한 제3광도는 광시간 모형으로부터 예측되는 제3천체의 광도에 크게 못 미친다. 추후 분광 관측을 비롯한 다양한 방법을 동원한다면 FZ Ori에 대한 보다 완전한 모형을 얻을 수 있을 것이다.

• Informatization Policy
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• v.22 no.3
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• pp.36-46
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• 2015

This study verified theoretical model to explain adolescents' addictive use of smartphone. I used the data of 679 middle and high school students among 2013 internet addiction survey of National Information Society Agency(NIA). This study utilized structural equation modeling analysis to compare a suggestive model and alternative model. According to the final model, higher the satisfaction of family relationship, the addictive use of smartphone and emotional problems of adolescents were reduced. And, higher the addictive use of smartphone, higher the emotional problems of adolescents. Also, family relationship affects emotional problems via addictive use of smartphone. While, in the alternative model, path from amount of smartphone use to addictive use of smartphone was not significant. Results of this study suggest that family relationship variable may play an antecedent factor of addictive use of smartphone and emotional problems of adolescents and control of smartphone use is important to keeping a mental health of adolescents.