• 품질경영학회지
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• 제41권3호
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• pp.337-353
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• 2013

Purpose: As there are more cases of forged brands, change of awareness is urgently required at the governmental, corporate and consumer levels. Therefore, this study aims to positively analyze the correlation between forged brand quality and purchase intentions perceived by consumers based on types of preference of luxury brands. Methods: In order to achieve the above purpose, this study derived a model of causal relationships among the forged brand quality, preference of typified luxury brands, and purchase intentions. SPSS 20.0 was applied for data processing. Frequency analysis ad descriptive statistical analysis were conducted for basic data and measurement tools were verified through feasibility and reliability analyses. Multiple regression analysis was conducted to verify the hypotheses. Results: Based on the results, only utilitarian quality positively (+) affected non-intrinsic preference while its impact on intrinsic preference was negative (-). On the other hand, hedonic quality was significantly positive (+) but the impact was not significant. Both utilitarian and hedonic qualities had significantly positive (+) impacts on the intentions to purchase forged brands with the impact of hedonic quality relatively higher. Conclusion: These results clarified that the overall consumption of Korean consumers had not entered its maturity, yet. Also, Korean consumers regard forged brands as alternatives to luxury brands mostly because of hedonic quality. As hedonic quality is added, Korean consumers' purchase intentions became higher. Based on these results, this study suggested the measures to be taken for the country to develop into an advanced country in the luxury market which is becoming more global and overcome the barrier of its old trend in imitation at the four levels of manufacturers, distributors, government, and consumers.

• 대한예방한의학회지
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• 제21권3호
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• pp.29-42
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• 2017

Background : Efforts towards increasing insurance coverage for traditional Korean medicine (TKM) are being continued. However, various difficulties are faced in generating evidence for TKM due to limited financial support and the low quality of research methodology. Objectives : The objectives of this study were to review the Swiss evaluation program for complementary and alternative medicine (CAM) and assess the expansion in public health insurance coverage of complementary medicine as approved by referendum in Switzerland. Methods : The regulations of CAM in the European Union were assessed. Research articles, reports, government publications and websites which deal with the 'Programm Evaluation $Komplement{\ddot{a}}rmedizin$ (PEK)' and the referendum in Switzerland were searched for and analyzed. Results : The PEK was conducted from 1998 to 2005. The PEK evaluated the efficacy, utilization and cost-effectiveness of anthroposophical medicine, homeopathy, neural therapy, phytotherapy and traditional Chinese medicine. However, clear conclusions could not be drawn from the evaluation according to the PEK Report. Later, a referendum was implemented in which 5 therapies would be added to the Switzerland Constitution with the support of the public. The coverage of CAM was approved by Swiss a plebiscite with an approval rate of 67.0%. Conclusions : The reason for the successful referendum is suggested to be public support and the solidarity with CAM experts and politicians. It may be surmised that recognition of the political efforts and scientific aspects required to expand insurance coverage of TKM, and towards obtaining public support, is necessary.

• 한국학교ㆍ지역보건교육학회지
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• 제14권3호
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• pp.89-99
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• 2013

Objectives: This study was designed to examine the effects of oral health behaviors and use of dental clinics on periodontal diseases in women, the purpose of this study is to provide basic information to develop program for dental health promotion in young women. Methods: We conducted a survey targeting 486 women that agreed with the survey and were going to dental clinic from October 1, 2013 to October 18, 2013. We surveyed them by self-administered questionnaire and analyzed it by SPSS Win 19.0 program. Results: 1. For differences in periodontitis according to general characteristics, if th age is high, ratio of periodontitis is high. Married woman is higher than single one in ratio of periodontitis. Also the more number of birth, the higher ratio of periodontitis is.(p<.05) 2. For differences of periodontitis by dental care behavior, ratio of periodontitis of non-smokers is significantly low. For one that brush one's teeth broadside, the ratio of periodontitis is high.(p<.05) 3. For differences of periodontitis by use of dental clinic service, ratio of periodontitis of one that have more times visit to a dental clinic, more annual average cost for dental care, and regular dental check-ups is relatively low.(p<.05). 4. For determinant factors influencing on periodontitis, ratio of periodontitis of one that is old, have more stress, have a low level of education, and have preventive dental care is high. Ratio of periodontitis of one that have less toothbrushing and brush one's teeth after having lunch or a snack and before sleeping is significantly low. Conclusions: From this study, dental health behavior as the factor influencing on periodontitis of young women is statistically meaningful. Because this dental health behavior has a lot of potential to be improved by government and local community efforts such as education and social support, we think that systematic and various educational program development is needed to strengthen self dental care ability effectively with policy support.

• 한국IT서비스학회지
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• 제16권3호
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• pp.167-183
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• 2017

The rapid growth of information technology and mobile service platforms, i.e., internet, google, and facebook, etc. has led the abundance of data. Due to this environment, the world is now facing a revolution in the process that data is searched, collected, stored, and shared. Abundance of data gives us several opportunities to knowledge discovery and data mining techniques. In recent years, data mining methods as a solution to discovery and extraction of available knowledge in database has been more popular in e-commerce service fields such as, in particular, movie recommendation. However, most of the classification approaches for predicting the movie popularity have used only several types of information of the movie such as actor, director, rating score, language and countries etc. In this study, we propose a classification-based support vector machine (SVM) model for predicting the movie popularity based on movie's genre data and social network data. Social network analysis (SNA) is used for improving the classification accuracy. This study builds the movies' network (one mode network) based on initial data which is a two mode network as user-to-movie network. For the proposed method we computed degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality as centrality measures in movie's network. Those four centrality values and movies' genre data were used to classify the movie popularity in this study. The logistic regression, neural network, $na{\ddot{i}}ve$ Bayes classifier, and decision tree as benchmarking models for movie popularity classification were also used for comparison with the performance of our proposed model. To assess the classifier's performance accuracy this study used MovieLens data as an open database. Our empirical results indicate that our proposed model with movie's genre and centrality data has by approximately 0% higher accuracy than other classification models with only movie's genre data. The implications of our results show that our proposed model can be used for improving movie popularity classification accuracy.

• Safety and Health at Work
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• 제4권3호
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• pp.166-176
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• 2013

Background: Effective policy implementation is essential for a healthy workplace. The Ryan-Kossek 2008 model for work-life policy adoption suggests that supervisors as gatekeepers between employer and employee need to know how to support and communicate benefit regulations. This article describes a workplace intervention on a national employee benefit, Family and Medical Leave Act (FMLA), and evaluates the effectiveness of the intervention on supervisor knowledge, awareness, and experience with FMLA. Methods: The intervention consisted of computer-based training (CBT) and a survey measuring awareness and experience with FMLA. The training was administered to 793 county government supervisors in the state of Oregon, USA. Results: More than 35% of supervisors reported no previous training on FMLA and the training pre-test revealed a lack of knowledge regarding benefit coverage and employer responsibilities. The CBT achieved: (1) a significant learning effect and large effect size of d = 2.0, (2) a positive reaction to the training and its design, and (3) evidence of increased knowledge and awareness regarding FMLA. Conclusion: CBT is an effective strategy to increase supervisors' knowledge and awareness to support policy implementation. The lack of supervisor training and knowledge of an important but complex employee benefit exposes a serious impediment to effective policy implementation and may lead to negative outcomes for the organization and the employee, supporting the Ryan-Kossek model. The results further demonstrate that long-time employees need supplementary training on complex workplace policies such as FMLA.

• 서비스연구
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• 제10권1호
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• pp.69-83
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• 2020

본 연구는 문헌 연구를 통하여 제4차 산업혁명의 성공요인을 도출하고, 제4차 산업혁명을 선도하는 산업계 경영진에게 설문을 통하여 이들 성공요인을 실증적으로 검증하는데 있다. 문헌 연구 결과, 리더쉽', '변화관리', '최고경영층 지원', '전략적 조화', '교육훈련', '의사결정 위양', '팀워크', '조직문화', '소통', '프로젝트 관리'의 10개의 성공요인이 도출되었다. 제4차 산업혁명에 관련된 산업계에 해당되는 기업의 CIO와 CEO를 대상으로 설문조사를 실시하였고, 설문 조사로서는 상당히 높은 64.4%의 응답률을 보였다. 설문 분석 결과 응답자는 '전략적 조화', 가장 중요한 성공요인으로 이어서 '최고경영층 지원', '리더쉽', '변화관리', '프로젝트 관리', '팀워크', 소통', '교육훈련', '조직 문화', 의사결정 위양' 순으로 평가하였었다. 제4차 산업혁명의 성공적인 추진을 위해서는 (1) 추진 전략의 구체화와 정교화, (2) 정부, 공공기관, 연구기관, 대학, 산업계의 효과적인 네트워크 구축, (3) 전략적이고 장기적인 계획, (4) 추진 전략의 차별화와 글로벌 협력체계 구축이 요청된다.

• Journal of Electrical Engineering and Technology
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• 제7권3호
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• pp.376-383
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• 2012

A number of scientific researches are currently being conducted on the potential health hazards of power frequency electric and magnetic field (EMF). There exists a non-objective and psychological belief that they are harmful, although no scientific and objective proof of such exists. This possible health risk from ELF magnetic field (MF) exposure, especially for children under 17 years of age, is currently one of Korea's most highly contested social issues. Therefore, to assess the magnetic field exposure levels of those children in their general living environments, the personal MF exposure levels of 436 subjects were measured for about 6 years using government funding. Using the measured database, estimation formulas were developed to predict personal MF exposure levels. These formulas can serve as valuable tools in estimating 24-hour personal MF exposure levels without directly measuring the exposure. Three types of estimation formulas were developed by applying evolutionary computation methods such as genetic algorithm (GA) and genetic programming (GP). After tuning the database, the final three formulas with the smallest estimation error were selected, where the target estimation error was approximately 0.03 ${\mu}T$. The seven parameters of each of these three formulas are gender (G), age (A), house type (H), house size (HS), distance between the subject's residence and a power line (RD), power line voltage class (KV), and the usage conditions of electric appliances (RULE).

• 한국농림기상학회지
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• 제3권1호
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• pp.37-43
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• 2001

Crop status monitoring and yield prediction at higher spatial resolution is a valuable tool in various decision making processes including agricultural policy making by the national and local governments. A prototype crop forecasting system was developed to project the size of rice crop across geographic areas nationwide, based on daily weather pattern. The system consists of crop models and the input data for 1,455 cultivation zone units (the smallest administrative unit of local government in South Korea called "Myun") making up the coterminous South Korea. CERES-rice, a rice crop growth simulation model, was tuned to have genetic characteristics pertinent to domestic cultivars. Daily maximum/minimum temperature, solar radiation, and precipitation surface on 1km by 1km grid spacing were prepared by a spatial interpolation of 63 point observations from the Korea Meteorological Administration network. Spatial mean weather data were derived for each Myun and transformed to the model input format. Soil characteristics and management information at each Myun were available from the Rural Development Administration. The system was applied to the forecasting of national rice production for the recent 3 years (1997 to 1999). The model was run with the past weather data as of September 15 each year, which is about a month earlier than the actual harvest date. Simulated yields of 1,455 Myuns were grouped into 162 counties by acreage-weighted summation to enable the validation, since the official production statistics from the Ministry of Agriculture and Forestry is on the county basis. Forecast yields were less sensitive to the changes in annual climate than the reported yields and there was a relatively weak correlation between the forecast and the reported yields. However, the projected size of rice crop at each county, which was obtained by multiplication of the mean yield with the acreage, was close to the reported production with the $r^2$ values higher than 0.97 in all three years.

• 보건행정학회지
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• 제29권3호
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• pp.374-378
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• 2019

After the announcement of Moon Jae-in Government's plan (Moon's Care) for Benefit Expansion in National Health Insurance in August 2017, it is necessary to monitor the effects of the policy, especially household out-of-pocket payments (OOP). This paper aims to observe the current status and trend of OOP in Korea. Current health expenditure (CHE) was 144.4 trillion won in 2018, which accounts for 8.1% of gross domestic product (GDP) increased 9.7% from the previous year. Although GDP's share of CHE has been close to the average of the Organization for Economic Cooperation and Development (OECD) countries, the public fund's share was 59.8% of the total in 2018, which was lower than the OECD average of 73.5%. OOP's share was 32.9% in 2018, which decreased from 37.4% in 2008. The share of OOP of non-covered services was 20.0% in 2018, which decreased from 22.9% in 2008. The share of cost-sharing with third-party payers was 12.9% in 2018, which decreased from 14.5% in 2008. The OOP of non-covered services was significantly decreased in hospital and inpatient curative care, but the OOP of non-covered services was significantly increased in the medical clinic. The effect of Moon's Care was not showed in OOP through the results of 2017 and 2018, but further monitoring is needed because the Moon's Care is progressing and the observational period is short.

• 국제지역연구
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• 제13권3호
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• pp.583-611
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• 2009

본고에서는 RCA지수, CAC지수, ESI를 이용하여 지난 2000년 이래 7년간 세계자동차시장 점유율 상위 6개국을 대상으로 중국시장에서의 자동차 수출경쟁력을 비교 분석하였다. RCA지수를 분석한 결과, 한국자동차의 국제시장에서의 경쟁력은 일본, 독일에 이어 높은 것으로 나타났으나 중국자동차시장에서는 수출경합국 중 최하위의 국제경쟁력을 가진 것으로 조사되었다. 국제시장에서 한국자동차의 RCA지수가 7년 평균 1.867인데 비해 중국시장에서의 CAC지수는 1.053에 불과하였다. 그러나 한국자동차는 프랑스시장에서 CAC지수 3.338, 미국시장에서 2.454, 독일시장에서 2.143, 일본시장에서 0.067을 기록함으로써, 프랑스, 미국, 독일시장에서 선전하고 있는 반면, 일본시장과 중국시장에서의 국제경쟁력은 매우 취약한 상태임을 확인할 수 있었다. 한편 세계자동차시장에서 한국자동차와 수출경합도가 가장 높은 국가는 독일과 일본으로 관측되었고, 중국시장의 경우 한국-독일, 한국-일본 수출경합도가 세계시장의 ESI보다는 미약하게 형성되어 있었다. 따라서 우리는 세계 및 중국자동차시장의 동향과 중국당국의 정책변화를 면밀하게 모니터링하고 업계와 정부간의 신속하고 유기적인 공조체제를 구축함으로써 중국시장의 경쟁체제 변화에 능동적으로 대응하는 전략을 강구해야 할 것으로 보인다.