• The Korean Journal of Financial Studies
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• v.9 no.1
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• pp.189-219
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• 2003

본 연구는 한국증권거래소의 현금배당락조치 폐지 이전과 1998년 7월 현금배당락 조치 폐지 이후의 표본을 이용하여 인위적인 거래소의 배당락조치 변경이 배당락일의 주가행태에 미치는 효과를 분석하였다. 실증분석 결과 현금배당락조치 폐지 이후 거래소 배당락기준가격의 오차는 예상대로 더욱 확대된 것으로 나타났다. 두 기간 모두 배당락일의 주가가 금기예상실효배당금과 거래소가 배당락조치를 위해 인위적으로 산정한 배당금과의 차이인 거래소 배당락기준가격의 오차를 반영할 수 없었다. 또한, 김성민(1997)과 일관되게 단기차익 거래의 유용성은 표본그룹에 관계없이 금기예상실효배당금에 대한 정보소유자가 연말 폐장일에 배당부종가로 구입하여 배당락일인 연초 개장일에 배당락 종가로 매도하는 것이 배당락 시가로 매도하는 것보다 더 효과적임을 알 수 있었다. 그리고, 이러한 차익거래를 통한 보유기간 세후 수익률은 현금배당락조치 폐지 이전인 1997년(4.7%)에 비해 현금배당락조치 폐지 이후 현금배당락을 시키지 않은 $1998{\sim}1999$년(8.9%) 기간에 더 증가하였다. 단기차익을 위한 차익거래가 실질적으로 이루어 졌는지 연초 배당락일 주변의 초과거래량을 분석한 결과 $1997{\sim}1998$ 회계년도의 배당락일에는 유의적인 양(+)의 초과거래량이 발생하였지만 1999 회계년도의 배당락일에는 유의적인 음(-)의 초과거래량이 발생하여 이에 대한 결론을 내릴 수 없었다. 본 연구는 금기예상현금배당에 대한 완전예측을 가정함으로써 배당락일의 주가하락과 주주총회에서 실현될 주당배당금의 괴리는 차익을 제공할 수 있으나 무위험 차익거래 기회가 아님을 밝혀 둔다.효과적인 것으로 판단되었다. 조사한 모든 일중 및 1일(overnight) 투자수익률에서 옵션 거래량의 상대적 비율에 의거한 투자전략은 통계적으로 유의한 투자수익률의 차이를 가져왔다.e 측정치에 의해 평가했을 때, 회사채가 주식보다 더 우수한 것으로 평가되었으나 Treynor 측정치에 의한 평가를 했을 때는 정기예금이 가장 우수했다. 그리고 Jensen 측정치에 따라 투자대상을 평가했을 때는 회사채와 국채가 주식보다 앞섰다. 마지막으로, 종합적인 평가를 했을 때는 회사채가 주식보다 우수했고 정기예금은 주식과 동일한 수준으로 평가되었다. 유의성은 없었다.의 선도효과가 지배적임을 발견하였다.적 일정하게 하는 소비행동을 목표로 삼고 소비와 투자에 대한 의사결정을 내리고 있음이 실증분석을 통하여 밝혀졌다. 투자자들은 무위험 자산과 위험성 자산을 동시에 고려하여 포트폴리오를 구성하는 투자활동을 행동에 옮기고 있다.서, Loser포트폴리오를 매수보유하는 반전거래전략이 Winner포트폴리오를 매수보유하는 계속거래전략보다 적합한 전략임을 알 수 있었다. 다섯째, Loser포트폴리오와 Winner포트폴리오를 각각 투자대상종목으로써 매수보유한 반전거래전략과 계속거래 전략에 대한 유용성을 비교검증한 Loser포트폴리오와 Winner포트폴리오 각각의 1개월 평균초과수익률에 의하면, 반전거래전략의 Loser포트폴리오가 계속거래전략의 Winner포트폴리오보다 약 5배정도의 높은 1개월 평균초과수익률을 실현하였고, 반전거래전략의 유용성을 충분히 발휘하기 위하여 장단기의 투자기간을 설정할 경우에 6개월에서 36개월로 이동함에 따라 6개월부터 24개월까지는 초과수익률이 상승하지만, 이후로는 감소하므로, 반전거래전략을

• Child Health Nursing Research
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• v.19 no.2
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• pp.130-139
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• 2013

Purpose: In this study an examination was done of the effects of a adolescent smoking cessation motivational program on smoking temptation, internal motivation, stage of smoking cessation and quit rate. The study was done with a nonequivalent control group pretest-posttest design. Methods: Participants in the experimental group were adolescents who smoked and were referred to the program by their high school teachers. They participated in the smoking cessation motivational program for 60 minutes per session, once or twice a week for six weeks. Participants in the control group were selected from the same age group within the school and the program was provided after the posttest was completed. t-test, Mann-Whitney test, and ${\chi}^2$-test were used to analyze data. Results: The level of smoking temptation, internal motivation and stage of smoking cessation had significant change in comparison to the pretest whereas the control group did not exhibit these changes. Conclusion: The results of the study indicate that a smoking cessation motivational program for adolescents is an effective strategy to increase smoking cessation motivation in adolescents, and can be utilized as an effective intervention for adolescents who smoke.

• Journal of Korean Society of Transportation
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• v.30 no.6
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• pp.27-36
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• 2012

In Korea, 28,641 cases of traffic accidents were caused by drunk driving in 2010. These statistics accounted for 12.62% of total number of traffic accidents. Moreover, the percentages of deaths and injuries from them were nearly 15% of those from whole traffic accidents. While police has emphasized enforcement efforts in order to reduce drunk driving, culture generous to drunk driving in addition to the absence of an appropriate intervention system for habitual drunk drivers have contributed to the increasing number of the drunk driving accidents in Korea. This study examined specific behavioral changes in drunk driving by comparing drivers' behavior pattern in non-alcoholic condition to those in alcoholic condition, using a psychomotor test and a driving simulator. In the psychomotor test measuring participants' reactions to the target stimulus, it was revealed that participants' correct responses were decreased, false responses were increased, and no responses also were increased after drinking. Furthermore, in the driving simulator performance after drinking, not only driving speed was faster but also the deviation of an accelerator pedal pressure and of the vehicle's lateral position were much increased. These results indicated that alcohol consumption would impair visio-cognitive ability and deteriorate driving safety. Finally, the implications and limitations of our findings and suggestions for the future research were discussed.

• Korean Journal of Culture and Social Issue
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• v.14 no.2
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• pp.1-19
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• 2008

This research investigated the influences of excessively careful driving as well as chronic disease and medications on dangerousness of traffic accident in elderly drivers. Ninety-one drivers aged 65 years and older participated in the research. To evaluate the driving behavior, we used the self-rating on driving ability questionnaire asking driving speed, the amount of driving and driving situation adaptability' and surveyed the drive career, the number of violations and accidents experience(crash, crashed) for last three years. A review of the driving patterns of elderly drivers showed that the speed and amount of driving were decreased by increasing age. 'Driving- Situational Adaptability (DSA)' consisted of 2 factors such as 'Social Environment(SE)' and 'Physical Environment(PE)'. Elderly drivers reported that their confidence level was lower in PE than in SE. Moreover they had higher difficulty and stress in PE than in SE. DSA of elderly drivers had significant correlations with 'crash' and 'crashed'. This implies that excessively careful driving of elderly drivers directly associated with accidents. Elderly drivers who have nervous system disease or gastritis had more crash accidents. The majority of elderly drivers which take medicine by chronic disease don't think that medications give don't difficulty or inconvenience in driving and constantly drives during a term of taking medicine.

• Information Systems Review
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• v.25 no.1
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• pp.111-128
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• 2023

With the development of artificial intelligence technology, interest in data-based product preference estimation and personalized recommender systems is increasing. However, if the recommendation is not suitable, there is a risk that it may reduce the purchase intention of the customer and even extend to a huge financial loss due to the characteristics of the financial product. Therefore, developing a recommender system that comprehensively reflects customer characteristics and product preferences is very important for business performance creation and response to compliance issues. In the case of financial products, product preference is clearly divided according to individual investment propensity and risk aversion, so it is necessary to provide customized recommendation service by utilizing accumulated customer data. In addition to using these customer behavioral characteristics and transaction history data, we intend to solve the cold-start problem of the recommender system, including customer demographic information, asset information, and stock holding information. Therefore, this study found that the model proposed deep learning-based collaborative filtering by deriving customer latent preferences through characteristic information such as customer investment propensity, transaction history, and financial product information based on customer transaction log records was the best. Based on the customer's financial investment mechanism, this study is meaningful in developing a service that recommends a high-priority group by establishing a recommendation model that derives expected preferences for untraded financial products through financial product transaction data.

• Journal of Korean Society of Transportation
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• v.30 no.4
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• pp.43-59
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• 2012

Assuming a completed Smart Highway road & communication environment that allows real-time information collection and transmission of road traffic condition ahead, the purpose of this study is to develop a plan for inducing a network-level safe driving pattern by providing road traffic condition and safety information to multiple drivers through a road information provision device. In this study, the device with a function that displays different colors according to the hazard level to the existing delineator has been named 'Smart Delineator'. Smart Delineator is a device that provides not only alignment information but also safety information for drivers to receive real-time warning information and intuitively recognize road traffic condition ahead so that drivers can respond. To examine the effects of safety driving inducement level on drivers, a simulation test was conducted using driving simulator as well as a satisfaction survey. The result showed that the Smart Delineator was able to identify the location of occurrence and affecting driving according pattern, either adhering to recommended speed or reducing speed according to the pre-defined hazard level.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.8
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• pp.569-581
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• 2016

The purpose of this study was to define the quality of nursing services in relation to a nurse's psychosocial factors (type A behavior pattern, self-esteem, locus of control, and anxiety), job stress, and fatigue. This study targeted 503 nurses currently working at one of six general hospitals in Daejeon city, the data were collected by a self-administered questionnaire, which was surveyed from April 1 to June 30, 2014. According to multivariate logistic regression analysis, the high self-esteem, locus of control, and strong support by supervisor and co-workers decrease the risk of a low career quality. In contrast, high situational fatigue and overall fatigue increase the risk of a low career quality. According to the results of hierarchical multiple regression analysis, the quality of nursing services increased with age, the subjective health condition was satisfying, aptitude corresponded to the jobs, self-esteem was high, anxiety was low, support by co-workers was strong, and the overall fatigue was low. Above results suggest that the quality of nursing services of nurses who work at a general hospital has a strong correlation with the psychosocial factors, job stress, and fatigue.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.494-502
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• 2019

Various international reports have shown strong proof that socioeconomic and sociodemographic variables are correlated with allergic diseases, yet little is known about how these variables affect Korean adolescents. This study was conducted to identify the socioeconomic and sociodemographic risk factors for allergic diseases of Korean adolescents, and to provide information for preventing and managing such conditions. Data from the 2018 Korean Youth Risk Behavior Survey (KYRBS) of 60,040 adolescents was used for this study. An anonymously administered online survey was conducted to collect information on the dependent variables. The independent variables were asthma, allergic rhinitis and atopic dermatitis. Multivariate logistic regression analysis was performed to analyze the correlations between the dependent variables and the independent variables. Low economic status, living with mother, high education level of parents, high school record, obesity, drinking and smoking were the risk factors for asthma. Low economic status, the place of residence, living with mother, high education level of the parents, gender, high school record, obesity, drinking and smoking were the risk factors for allergic rhinitis. Low economic status, living with mother, high education level of parents, genderhigh school record, obesity and drinking were the risk factors for atopic dermatitis. We found that low socioeconomic status and unhealthy behavior were the risk factor for allergic diseases of Korean adolescents. Balanced economic growth in the community and controlling unhealthy behavior can help reduce the prevalence of allergic diseases.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.213-223
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• 2021

It is very important to build a safe walking environment for children because children are more likely to be exposed to traffic accidents than adults due to their behavioral and physical characteristics. Therefore, this study analyzed the characteristics of road and transportation safety facilities that affect pedestrian traffic accidents around school zones using spatial poisson regression. The pedestrian-vehicle crash data in Seoul 2016-2018 was provided by the Traffic Accident Analysis System(TAAS). The main analysis results are as follow; First, the more intersections and the higher percentage of neighborhood roads in the school zone, the higher the risk of pedestrian traffic accidents. Second, the pedestrian push button was found to reduce the occurrence of pedestrian traffic accidents. Third, except for the pedestrian push button, none of the transportation safety facilities considered in this study were effective in reducing the risk of pedestrian traffic accidents. On the other hand, if not only the improvement of physical facilities but also non-physical factors such traffic safety education are supported, the effect for reducing traffic pedestrian traffic accidents in the school zone is expected to be further maximized.

• Korean small business review
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• v.42 no.4
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• pp.251-283
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• 2020

The purpose of this study is to provide assistance to the establishment of related policies to improve the level of acceptance and use of smart factories for SMEs in Korea. To this end, the Unified Technology Acceptance Model (UTAUT) was extended to select additional factors that could affect the intention to accept technology, and to demonstrate this. To achieve the research objective, a questionnaire composed of 7-point Likert scales was prepared, and a survey was conducted for manufacturing-related companies. A total of 136 questionnaires were used for statistical processing. As a result of the hypothesis test, performance expectation and social influence had a positive (+) positive effect on voluntary use, but effort expectation and promotion conditions did not have a significant effect. As an extension factor, the network effect and organizational characteristics had a positive (+) effect, and the innovation resistance had a negative effect (-), but the perceived risk had no significant effect. When the size of the company is large, the perceived risk and innovation resistance are low, and the level of influencing factors for veterinary intentions, veterinary intentions, and veterinary behaviors are excluded. Through this study, factors that could have a positive and negative effect on the adoption (reduction) of smart factory-related technologies were identified and factors to be improved and factors to be reduced were suggested. As a result, this study suggests that smart factory-related technologies should be accepted.