휴대전화를 중심으로 한 사하라 이남 아프리카의 정보격차 분석

문상식(Sang-Sik Moon),김기홍(Gi-Hong Kim) 한국인터넷전자상거래학회 2016 인터넷전자상거래연구 Vol.16 No.3

The purpose of this paper is, first of all, to analyze the diffusion of cell phones from the perspective of digital divide, to explain their economic characteristics surrounding their diffusion in SSA, and finally to analyze factors determining their diffusion within SSA countries. The result of analysis can be summarized as follows. First, the digital divide between SSA and high income countries has been decreased during 2000-2013 in all the areas. The digital divide in the areas of cell phones and number of internet users has been greatly decreased. While the number of internet users has a characteristics of stratification, the diffusion of cell phones has that of normalization in the Norris model. Secondly, the diffusion of cell phones in SSA has a feature of leapfrog spread: the speed of their diffusion is very rapid. Cell phones in SSA have played a role of providing inhabitants with means to participate in economic activities in this region. Thirdly, the main factors to determine the level of diffusion of cell phones in SSA have proved to be an income level and the ratio of urbanization.

IT환경 변화에 따른 한국의 오픈소스 소프트웨어의 정책방향 연구

문상식(Sang-Sik Moon),김기홍(Gi-Hong Kim) 한국인터넷전자상거래학회 2014 인터넷전자상거래연구 Vol.14 No.1

The purpose of this study is to suggest the policy direction of Korea"s open-source software with the consideration of the change of IT market where the importance of mobile computing increases rapidly. As is well known, the source code of open-source software is open publicly so that anyone can use, change and distribute this software. It has comparative advantage in its production cost due to its unique way of production, and currently is regarded as a momentum to open a new technological breakthrough. The portion of mobile market was almost nothing when the policy of open-source software was initially being established. However, the change of IT market toward mobile computing makes it inevitable to change its policy direction toward developing new open-source mobile OS, which must be considered simultaneously with the build-up of mobile eco-system since no success of mobile OS without the efficient mobile eco-system. From this respect, Korean government should devise some ways how to cooperate with private enterprises in developing this software.

외사면 치은 절제술을 이용한 약물 유도성 치은 비대의 치료: 임상증례

김현성 ( Hyun Sung Kim ) , 문상식 ( Sang Sik Moon ) 조선대학교 구강생물학연구소 2006 Oral Biology Research (Oral Biol Res) Vol.30 No.3

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상악 전치부위에서의 치관연장술: 임상 증례

최성미 ( Seong Mi Choi ) , 문상식 ( Sang Sik Moon ) , 강순원 ( Soon Won Kang ) 조선대학교 구강생물학연구소 2006 Oral Biology Research (Oral Biol Res) Vol.30 No.2

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외사면 치은 절제술을 이용한 약물 유도성 치은 비대의 치료: 임상증례

김현성 ( Hyun Sung Kim ),문상식 ( Sang Sik Moon ) 조선대학교 구강생물학연구소 2006 Oral Biology Research (Oral Biol Res) Vol.30 No.3

상악 전치부위에서의 치관연장술: 임상 증례

최성미 ( Seong Mi Choi ),문상식 ( Sang Sik Moon ),강순원 ( Soon Won Kang ) 조선대학교 구강생물학연구소 2006 口腔生物學硏究 Vol.30 No.2

반도체용 고분자 소재의 표면 및 계면 특성

최남욱(Nam Uk Choi),박석봉(Seok Bong Park),문상식(Sang Sik Moon),김재현(Jae Hyun Kim) 한국고분자학회 2006 고분자 과학과 기술 Vol.17 No.2

우리나라 건강증진 관련 조사·연구의 방향설정

문상식 서울大學校保健大學院 1998 國民保健硏究所硏究論叢 Vol.8 No.2

There are five research areas in health promotion: 1) planning, policy making, and evaluation of health promotion programs; 2) healthy lifestyle practice research; 3) safety education research: 4) disease prevention research; and 5) health promotion related information and data service research The first research area is about planning and evaluation of health promotion programs and policy development. For the planning and evaluation of a health promotion program, it includes both of short and long term plans, conceptual model development, and process and outcome evaluation. For the policy development, the research is on health management system for different life stages, resources and manpower development, and health promotion related law and regulations. The second is healthy lifestyle practice research. This includes the development of a program and/or a framework for the programs to encourage healthy lifestyle change, and program development of community organization participation and manpower for the programs. The examples for the programs are smoking cassation, moderate alcohol consumption, nutrition,, physical activity, family planning, mental health, drug abuse prevention and treatment through carefully designed health promotion programs and various types of health communication. The third is personal and work place safety education research. The research includes evaluation the facilities and the regulations to protect people's health, encouraging health promotion programs at a work place, and developing dental hygiene programs and regulations, accident prevention programs, and food safety programs. The fourth includes disease prevention research. The research requires epidemiological research on cardiovascular diseases, circulatory diseases, diabetes, arthritis, AIDS, sexually transmitted disease, maternal and infant health, Also, the research includes the evaluation of disease prevention programs. The last is health promotion related information and data service research. This area include providing actual data from the surveys on national health knowledge and behaviors such as utilizing medical care system, people's nutrition status, nation health care expenditure, physical activity, smoking status and alcohol consumption, and dental hygiene. In addition, the research includes the establishment of a database for health education campaigns, of infra structure between health promotion related institutes and organizations, detection programs for disease and health risk behaviors.

주관적 건강인식과 건강검진 결과의 비교분석을 통한 건강행위 연구

문상식,이시백 韓國保健敎育.健康增進學會 2001 보건교육건강증진학회지 Vol.18 No.3

The purpose of this study is to analyze health behavior by comparing the difference between self-perceived health status and health examination results. The study subjects consist of 7,702 people aged over 20, surveyed by Health Interview survey, Health Examination survey, Dietary Life survey, Health Consciousness and Behavior survey Data used in the study are drawn from raw data from a 1998 National Health and Nutrition survey. Goneral characteristics variables are sex, age, education level, residential area, marital status, occupation, and living standard while dichotomous variables, 'not healthy' and 'healthy' are used to measure self-perceived health status. Variables for health examination results are high blood pressure, high cholesterol, diabetes, liver diseases, liver inflammation, kidney diseases, normal weight, regular diet, optimum sleeping time(7-8 hours), regular health examination and health behavior practice group. Major findings of the study are as follows: 1)Analysis of self-perceived health status and health behavior by disease : Variables significantly correlated with high self-perceived health status have strong associations with high health behavior practice, which supports the hypothesis that as one has high self-perceived health status, one is more likely to practice health promoting behavior. The results of analysis of health behavior differences by dividing subjects into two categories, 'cases of illness' and 'cases of no illness' indicate that drinking, sleeping time, health examination are significant variables (p<0.001, 0.05) whereas smoking, weight control, regular exercise, regular diet are not significant. 2)Analysis of disparity patterns between self-perceived health status and health examination : The hypothesis that health behaviors would be different according to the disparity pattern between self-perceived health status and health examination is supported as a result of χ2 test. Among Type I : Self-perceived health status is high and actual health status is good (no disease) Type II : Self-perceived health status is high and actual health status is poor(have disease) Type III : Self-perceived health status is low and actual health status is good(no disease) Type IV : Self-perceived health status is low and actual health status is poor(have disease) Type I and Type IV show no disparity, Type I shows the highest health promoting behavior whereas Type IV shows the lowest health promoting behavior Type II, and III, compared to Type I, practise lower health promoting behavior Multi-logistics regression analysis was conducted to find out the degree of impact on health behavior. Independent variables are goneral characteristics, self-perceived health status and health examination result and presence of illness, while the dependent variable is health promoting behavior. The analysis of the impact of self-perceived health status on the health promoting behavior shows that smoking, drinking, weight control, regular exercise, health examination practice, and/or regular diet are significantly correlated to self-perceived health status, High self-perceived health status is inversely related to high health promoting behavior. This finding supports the hypothesis that the higher one perceives one's health, the more likely one is to practice health promoting behavior. On the contrary, the presence of illness has little impact on health promoting behavior. 3)Multiple logistics analysis on how disparity patterns between self-perceived health status and health examination affect health behavior : The results of multiple logistics analysis made on health behavior variables compared to the standard variable are as follows: When analyzed on the standard of Type I, smoking is a significant risk factor for the Type IV. In case of drinking, all the patterns show a high probability of relative task ratio. With regard to weight control, it is a risk factor for Type II while all the patterns show high probability of not practising when analyzed on the standard of type IV.Type III and IV show high probability of not doing regular exercise while Type IV, shows a high probability of not taking appropriate sleeping time. When analyzed on the standard of type IV, all the patterns show a high probability of not taking health examinations. Type III and IV show a high probability of not having regular meals. As for overall health promoting behavior, Type III and IV show a high relative risk ratio. These two groups have low self-perceived health status. It implies that self-perceived health status has significant impact on health promoting behavior. This is also supported by the fact that Type I with high self-perceived health status and no illness shows a high practice rate of health promoting behavior. Types II and III the groups with high disparity between self-perceived health status and health examination results, show a low practice rate of health promoting behavior when compared to Type I. Type IV, that is the group with low self-perceived health status and actual illness, shows the lowest practice of health promoting behavior. It is highly probable that this type proves to be the poorest health group.