• 보건행정학회지
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• 제26권4호
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• pp.333-342
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• 2016

Background: The use of therapeutic materials based on new health technology has increased in recent years in the field of medicine, raising concerns for medical practitioners regarding increased spending on the new therapeutic materials amid the rapid population ageing and increase of chronic diseases in Korea. While therapeutic materials have significant importance in the health care system, they have not been given appropriate attention in the academic world of Korea. The purpose of this study is to identify factors that affect the growth of expenditure on therapeutic materials and to derive implications for an effective management considering the diversity of therapeutic materials. Methods: Using the claims data of the National Health Insurance Services, specific utilization patterns of groups of therapeutic materials in the middle classification level of Health Insurance Review and Assessment Service from 2007 to 2014 were analyzed. Four categories (J5083: drug eluting coronary stent, D0302: nonmetallic anchor, K6014: gauze, K6023: gauze) that exhibit unique patterns with respect to price and volume were selected. Then, decomposition analysis was performed to identify the largest contributor to the spending growth by dividing the products into existing, new, and abandoned products for the period between 2010 and 2013. Results: The effect of new products had larger impact on spending growth than the effect of core items in drug eluting coronary stent (J5083) and nonmetallic anchor (D0302). In addition, existing products in general included items priced relatively lower when compared with another item manufactured by the same company. In the gauze category, however, existing products had the largest impact on expenditure and the effect of volume was greater than that in other categories. Conclusion: This study provides evidence that appropriate management measures classified by the characteristics of therapeutic materials are required for therapeutic materials pricing and reassessment in Korea.

• Journal of Preventive Medicine and Public Health
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• 제53권2호
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• pp.126-134
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• 2020

Objectives: Cancer diagnoses have a tremendous impact on individuals and communities, drawing intense public concern. The objective of the current research was to examine news coverage and content related to cancer-related issues in Korean newspapers. Methods: Primarily using the database system of the Korea Press Foundation, we conducted a content analysis of 2806 articles from 9 Korean daily newspapers during a recent 3-year period from 2015 to 2017. Thematic categories, the types of articles, attitudes and tone, and the number of sources in each article were coded and classified. Results: Many news articles dealt with a diverse range of themes related to cancer, including general healthcare information, the latest research and development, specific medical institutions and personnel, and technology and products, which jointly accounted for 74.8% of all articles. Those thematic categories differed markedly in terms of article type, tone, and the number of cited sources. News articles provided extensive information about healthcare resources, and many articles seemed to contain advertising content. However, the content related to complex social issues such as National Health Insurance did not include enough information for the reader to contextualize the issues properly or present the issues systematically. Conclusions: It can be assumed that the media exert differential influence on individuals through news coverage. Within the present reporting framework, the availability and usefulness of information are likely to depend solely on individuals' capabilities, such as financial and health literacy; this dependency has a negative impact on knowledge gaps and health inequities.

• 유통과학연구
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• 제18권8호
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• pp.113-125
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• 2020

Purpose: The purpose of this paper is to investigate the effect of interaction between product category (fresh vs. indulgent product) and shopping options (shipping charge and delivery time) on customer satisfaction and purchase intent in an e-commerce context. When ordering groceries online, consumers begin to allocate a larger share of their grocery budget toward product categories that generally contain healthier items at the expense of product categories that generally contain more indulgent products. Moreover, customers are extremely sensitive to shipping options such as shipping charges and delivery time. Therefore, this research investigates the issue at a more segmented level to focus on the impact that one dimension of logistics service quality - product category, shipping charge, and delivery time have on customer satisfaction and purchase intent. Research design, data, and methodology: To test the theoretically derived priori hypotheses concerning product category, shipping charges, delivery time, satisfaction, and purchase intent, this research presented a scenario-based experiment. Eight treatment groups were assigned by the method of product category (fresh produce vs. indulgent product), shipping charge (free vs. paid), and delivery time (one-day vs. two to three days). A total of 240 subjects were divided into groups and exposed to one of the eight scenarios. Participant's purchase intention was the dependent variable, and ANOVA and L-matrix were used to analyze for main and interactive effects between factors. Conclusions: Results indicated that in tests 1 and 2, free shipping and fast delivery time increased consumer satisfaction as well as purchase intent, and fast delivery moderated the impact of free shipping on consumer satisfaction and purchase intent. Test 3 showed that the effect of free shipping on consumer satisfaction and purchase intent moderated by fast delivery for indulgent products. In contrast, fast delivery for fresh products moderated the effect of paid shipping on consumer satisfaction and purchase intent. Consistent with this proposed mechanism, the relative importance of fresh produce versus indulgent products highlights the effect of shipping options on consumer satisfaction and purchase intent when ordering the target product in an e-commerce context. We conclude with a discussion of the theoretical and practical implications of our findings.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.437-443
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• 2013

Recently, sustainable building design, a growing field within architectural design, has been emerged in the construction industry as the practice of designing, constructing, and operating facilities in such a manner that their environmental impact, which has become a great concern of construction professionals, can be minimized. A number of different green rating systems have been developed to help assess that a building project is designed and built using strategies intended to minimize or eliminate its impact on the environment. In the United States, the widely accepted national standards for sustainable building design are known as the LEED (Leadership in Energy and Environmental Design) Green Building Rating System. The assessment of sustainability using the LEED green rating system is a challenging and time-consuming work due to its complicated process. In effect, the LEED green rating system awards points for satisfying specified green building criteria into five major categories: sustainable sites, water efficiency, energy and atmosphere, materials and resources, and indoor environmental quality; and sustainability of a project is rated by accumulating scores (100 points maximum) from these five major categories. The sustainability rating process could be accelerated and facilitated by using computer technology such as BIM (Building Information Modeling), an innovative new approach to building design, engineering, and construction management that has been widely used in the construction industry. BIM is defined as a model-based technology linked with a database of project information, which can be accessed, manipulated, and retrieved for construction estimating, scheduling, project management, as well as sustainability rating. This paper will present a framework representing the building knowledge contained in the LEED green building criteria. The proposed building knowledge framework will be implemented into a BIM platform (e.g. Autodesk Revit Architecture) in which sustainability rating of a building design can be automatically performed. The development of the automated sustainability rating system and the results of its implementation will be discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권4호
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• pp.1101-1121
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• 2024

Thorough understanding of user demands and formulation of product development strategies are crucial in product design, and can effectively stimulate consumer behavior. Scientific categorization and classification of demands contribute to accurate design development, design efficiency, and success rates. In recent years, e-commerce has become important consumption platforms for smart wearable products. However, there are few studies on product design and development among those related to promoting platform product services and sales. Meanwhile, design strategies focusing on real consumer needs are scarce among smart wearable product design studies. Therefore, an empirical consumer demand analysis method is proposed and design development strategies are formulated based on a categorized interpretation of demands. Using representative smart bracelets from wearable smart products as a case, this paper classifies consumer demands with three methods: big data semantic analysis, KANO model analysis, and satisfaction analysis. The results reveal that analysis methods proposed herein can effectively classify consumer demands and confirm that differences in consumer demand categories have varying impacts on consumer behavior. On this basis, corresponding design strategies are proposed based on four categories of consumer demands, aiming to make product design the leading factor and promote consumer behavior on e-commerce platforms. This research further enriches demand research on smart wearable products on e-commerce platforms, and optimizes products from a design perspective, thereby promoting consumption. In future research, different data analysis methods will be tried to compare and analyze changes in consumer demands and influencing factors, thus improving research on impact factors of product design in e-commerce.

• 유기물자원화
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• 제21권4호
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• pp.88-100
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• 2013

본 연구는 사업장폐기물 소각시설의 운영에 대한 직접 및 간접 환경영향을 전과정평가 기법으로 평가하고 개선방안을 검토한 것이다. 소각시설에서 직접환경영향은 배출되는 오염물질이 처리공정에서 처리되어 공정을 거치면서 감소하였으나, 시설의 처리운영에 따른 자원과 에너지 사용으로 간접환경영향은 증가하여 직접영향 89.1%, 간접영향이 10.9%로 나타났다. 소각시설의 공정에 따른 환경영향은 소각로-반건식반 응탑-백필터공정 순으로 나타났으며, 이는 소각로에서는 폐기물이 소각되면서 대기오염물과 소각재가 발생되기 때문이다. 영향범주별 환경영향은 지구온난화-부영양화-자원고갈 순으로 나타났으나 지구온난화가 85%이상의 절대적 환경영향을 미치는 것으로 나타났다. 또한, 소각시설에서 소각열을 활용에 의한 회피효과를 검토한 결과, 스팀과 전기로 활용할 경우 각각 45.5%, 19.8%의 환경영향 저감을 얻을 수 있어, 소각로의 입지 선정 시 소각열의 효율적 활용이 중요하게 고려되어야 할 것으로 나타났다.

• 한국조경학회지
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• 제30권4호
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• pp.28-36
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• 2002

The main purpose of this study was to estimate a new regression model to explain the relationship between urban forest and air temperature in summer, 2001. This study consists of two parts: correlation coefficient analysis and regression analysis. According to correlation coefficient analysis, thermal infra-red radiations of the major land use categories found significant difference in each category. However there were no significant relationship between the data (thermal infra-red radiation and NDVI) derived from Landsat-7 ETM+ image and air temperature at Automatic Weather Stations(AWSs). After estimating various regression models for summer air temperature, the final models were chosen. The final regression models consisted of two variables such as forest m and traffic facilities area. The regression models explained over 78% of the variability in air temperatures. The regression models with variables of forest area and traffic facilities area showed that the coefficient of the first variable was even more significant than the second one. However, the negative impact of the traffic facilities area was slightly greater than the positive impact of the forest area. Consequently, the effects of forest area and traffic facilities area were apparent to explain summer air temperature in Seoul. Therefore two policies have the most important implications to mitigate the summer air temperature in Seoul: to expand and to conserve the urban forest; and to change the Oafnc facilities'characteristics. The results from this study are expected to be useful not merely in informing the public that urban forest mitigates summer air temperahne, but in urging the necessity of budgets for trees and managing urban forests. It is recommended that field swey of summer air temperature be Performed for the vadidation of the models. The main purpose of this study was to estimate a new regression model to explain the relationship between urban forest and air temperature in summer, 2001. This study consists of two parts: correlation coefficient analysis and regression analysis. According to correlation coefficient analysis, thermal infra-red radiations of the major land use categories found significant difference in each category. However there were no significant relationship between the data (thermal infra-red radiation and NDVI) derived from Landsat-7 ETM+ image and air temperature at Automatic Weather Stations(AWSs). After estimating various regression models for summer air temperature, the final models were chosen. The final regression models consisted of two variables such as forest m and traffic facilities area. The regression models explained over 78% of the variability in air temperatures. The regression models with variables of forest area and traffic facilities area showed that the coefficient of the first variable was even more significant than the second one. However, the negative impact of the traffic facilities area was slightly greater than the positive impact of the forest area. Consequently, the effects of forest area and traffic facilities area were apparent to explain summer air temperature in Seoul. Therefore two policies have the most important implications to mitigate the summer air temperature in Seoul: to expand and to conserve the urban forest; and to change the traffic facilities'characteristics. The results from this study are expected to be useful not merely in informing the public that urban forest mitigates summer air temperature, but in urging the necessity of budgets for trees and managing urban forests. It is recommended that field survey of summer air temperature be Performed for the vadidation of the models.

• 산경연구논집
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• 제9권12호
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• pp.31-43
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• 2018

Purpose - Smartphone shopping malls provide customers with a variety of tangible and intangible services including web sites, web design, use convenience, information for products and shopping and various after services. Accordingly, it is needed to expand and classify service qualities based on the various services provided by smartphone shopping malls, and then analyze path structures of smartphone shopping malls' qualities → customer satisfaction → behavioral intention. The purpose of this study is to categorize the qualities of smartphone shopping mall users based on the e-SERVQUAL by Lee(2002) and the SERVQUAL by Parasuraman et al.(1988, 2005), the smartphone shopping malls' service qualities based on service quality of smartphone shopping malls used in the previous use studies, and the Website quality factors of service industry and to analyze path structure of smartphone shopping mall's qualities → customer satisfaction → behavioral intention on college students in order to confirm the system of smartphone shopping malls' qualities. Research design, data, and methodology - This study's survey was carried out on the college students of university located in northeastern of Seoul. It was from December 7 - 15, 2017, and a total of 240 questionnaires were distributed, with 228 collected. Of them, effective questionnaires used in the final study were a total of 201 except 27 that couldn't be used. In this study, empirical analysis was done with factor analysis, correlation analysis, multiple regression analysis, simple multiple regression analysis and moderating regression analysis by using Statistics Package SPSS18.0. Results - The study results are as follows: First, smartphone shopping malls' qualities were classified into six categories like customer system quality, Web design quality, convenience quality, information-offering quality, service quality, and product quality. Second, it showed that system quality, Web design quality, and information-offering quality had a positive impact on customer satisfaction, respectively. Third, it suggested that quality factors of smartphone shopping mall users had a positive impact on customer satisfaction in the order of quality, information-offering quality, system quality and Web design quality. Finally, it showed that customer service quality, product quality, and convenience quality did not have a positive impact on customer satisfaction. In addition, it said that customer satisfaction of smartphone shopping mall users had a positive impact on behavioral intention and thereby, the higher the customer satisfaction was, the higher the relations between reuse intention and recommendation intention were. Meanwhile, moderating regression analysis showed that trust did not have moderating effect in the relations between customer satisfaction and behavioral intention. The above study revealed that smartphone shopping malls' qualities were classified into six categories and it was possible to generalize after empirical analysis was made in the path structure. Conclusions - Smartphone shopping mall users consider usefulness of obtaining shopping information and quality on quick and abundant shopping information more important than access environment of smartphone shopping malls and kind services of smartphone shopping mall managers. Thereby, smartphone shopping mall marketers need to take service qualities like system quality and information-offering quality into more consideration.

• 대한토목학회논문집
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• 제38권6호
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• pp.851-857
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• 2018

본 연구에서는 전과정평가 방법론을 활용하여 고정단, 일방향, 양방향 교량용 포트받침의 제조 공정에 대한 LCA분석을 수행하여 각각의 대한 환경부하를 분석하였으며, 특히 최근 국내외적으로 이슈가 되고 있는 물발자국에 대한 분석을 수행하였다. LCA 분석 결과 고정단 포트받침의 경우 6대 영향범주 모두에서 후판에 의한 기여도가 64.2% 이상으로 분석되었으며, 특히 자원고갈 및 광화학적산화물생성 영향범주에서는 94% 이상의 기여도를 갖는 것으로 분석되었다. 일방향 및 양방향 포트받침의 경우 지구온난화 및 오존층 영향범주에서는 PTFE의 기여도가 가장 높게 분석되었으며, 그 외의 영향범주에서는 후판에 의한 기여도가 높게 나타났다. 포트받침 1개 제조시 형식별 물 이용가능 발자국 분석결과 일방향 $22.4m^3\;H_2O\;eq/ea$, 고정단 $17.1m^3\;H_2O\;eq/ea$, 양방향 $14.1m^3\;H_2O\;eq/ea$ 으로 분석되었다. life cycle 단계별 기여도 분석결과 3가지 유형 모두 제조단계의 용수 사용으로 인한 기여도가 65% 이상으로 분석되었다. 본 연구결과는 향후 교량 설계 및 시공단계의 공법 및 자재 선택시 의사결정 기초자료로 활용할 수 있을 것으로 판단된다.

• 한국환경과학회지
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• 제26권3호
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• pp.335-343
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• 2017

Environmental Impact Assessment (EIA) is an important policy implemented before starting development projects to estimate and reduce environmental impact. However, the difficulty of quantification on several rating categories has hampered comprehensive analysis. Instead of it, the current EIA just summarizes outcome of investigation. Therefore, EIA fails to definitively ascertain whether the development shold be approved or not. This study aimed at providing the way to comprehensive decision-making by applying Emergy analysis and Emergy indicators to EIA. Production (P), Emergy Yield Ratio (EYR), Environmental Loading Ratio (ELR) and Emergy Sustainability Index (ESI) were selected for indicators. The indicators of range approving the development were set up with comparing before and after development or according to circumstances of which view of average that was classified as region or industry is appropriate to analysis. As a result, the value after development of P should be higher than the value before development. EYR and ESI of the value before development should be higher than region or industry average. On the contrary to these, ELR of the value after development should be lower than region or industry average. To verify applying Emergy indicators to EIA comprehensive analysis, Emergy evaluation was conducted to real case. As a result, applying Emergy analysis could suggest whether the development is appropriate or not. These indices and the result of this research are expected to be applied decision-making on environmental impact for sustainable development.