• Journal of Environmental Science International
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• v.1 no.2
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• pp.49-57
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• 1992

First, We classified man-made lakes in Korea as 4-type lakes, that is, there were River-run lakes, Dendritic lakes, Reservoir-lakes, River-mouth lakes, We studied on the environmental factors of 3-type lakes except River-mouth lakes, compared these lakes with natural lakes in foreign country. Environmental factors were watershed area, lake storage, mean depth, hydraulic retention time. As a results, 3-type lakes in Korea had remarkable differences one another according to above-mentioned environmental factors. First, We recognized that River-run lakes had higher nutrient loading according to having wider watershed area than natural lakes, and had lower algal growth rate according to shorter hydraulic retention time than natural lakes. Dendritic lake had higher nutrient loading than natural lakes, longer retention time than River-run lake. Reservoir-lakes had environmental factors between Dentritic lakes and River-run lakes. Therefore, If this studies had no quantitative results about various factors, We recognized that man-made lakes in korea had different environmental factors as compared with natural lakes, and had clear classification among 3-type lakes.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.66-74
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• 2009

The purpose of this study is to identify the factors mainly recognized by customers regarding environmental elements of clothing store. The respondents are classified into several groups according to their preferences on the environmental elements of clothing store. Also the relationship between the factors and the shopping characteristics of customers is reviewed based on the results. This survey was carried out through a questionnaire of male and female university students(Busan region) in their twenties. The data were analyzed by using Factor analysis, Cluster analysis, one-way ANOVA, Duncan test as a post identification and regression analysis. The results of this research can be summarized as follows; The perceived 7 factors about environmental elements of clothing store were service policy, store atmosphere, product variety, shopping convenience, trend of products, freedom of shopping and reception service. The respondents were classified into three groups(high recognizing group, middle recognizing group and low recognizing group) by the level of recognizing 7 factors. There were significant differences among 3 groups divided by the degree of recognizing the factors regarding environmental elements of clothing store and there was the meaningful relationship between these 7 factors and shopping characteristics. The high recognizing group has shopping characteristics like more shopping time, large expenditure for clothing and a lot of comparative stores. They are frequently in contact with clothing shopping environment and easily purchase clothes. Finally, the factors perceived by the environmental elements of clothing store significantly affected the shopping characteristics of the customers. So, store managers have to look for the perceived environmental elements of store by business and seek after the marketing factors which efficiently stimulate consumer.

• Journal of Environmental Impact Assessment
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• v.2 no.1
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• pp.21-29
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• 1993

We live in an age of information and an era of rising environmental awareness. As a result, efficient and judicious use of environmental information has become a prerequisite to planning and management of environmental affairs in contemporary societies. So, we have embarked on a study of Environmental Information System(EIS). In the first article, we discussed the status analysis of EIS in Korea, USA, and Japan. This study as the second project has three major components. First, it classifies items and sources of 22 EIA factors. Second, it explains building of environmental information comprising geographic and attribute data of 17 factors. Finally, the study presents applications of EIS as an alternative assessment of suitability analysis. Based on these analysis, the study makes some recommendations and conclusions.

• Journal of the Korean Society of School Health
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• v.29 no.3
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• pp.189-200
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• 2016

Purpose: The purpose of the study is to examine the factors that influence Korean adolescents' depression and suicidal ideation from individual, social and environmental perspectives by gender. The study used the date of the 2015 Korea Youth Risk Behavior Web-based Survey and the subjects were 68,043 middle and high school students. The levels of depression and suicidal ideation were the dependent variables and the factors influencing the dependent variables included 11 individual factors, 3 social factors and 7 environmental factors. The data were analyzed using odds ratios (OR) from multi-variable logistic regression analysis. As a result, the most significant individual factors that influenced both depression and suicidal ideation were stress and subjective happiness both in boy and girls, the most significant social factor was participation in violence treatment programs, and the most significant environmental factors were economic status, father's educational level, and whether or not they lived with their family. Therefore, programs and policies to improve adolescents' mental health should be developed considering individual, social, and environmental factors.

• Journal of Environmental Impact Assessment
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• v.6 no.2
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• pp.113-121
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• 1997

LHR(Landfill Hazard Ranking Model) was developed for assessing the relative hazard of landfills by using the method of value-structured approach. LHR consists of combining a multiattribute decision-making method with a qualitative risk assessment approach. A pairwise comparision method was applied to determine weights of landfill factors related. To prove the validity of weights allocation of landfill hazard evaluation factors, sensitivity analysis was applied. Firstly, the impact on landfill hazard score according to variations of weights of landfill hazard factors was analyzed. Secondly, the impact on landfill hazard score according to conditions change of landfill hazard factors was analyzed. As a result of sensitivity analysis, LHR composite scores are largely influenced by some factors following sequential order such as waste volume, proximity to sensitive environments, containment facilities, distance from drinking water supplies, and waste toxicity. The relative order of landfill hazard evaluated by LHR is not influenced by the weights change of individual factors. Therefore, LHR seems to be a credible model to determine priorities of landfill remediation based on the vulnerability of water resources.

• Journal of Fashion Business
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• v.19 no.2
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• pp.36-52
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• 2015

Nowadays, firms face the challenge of how to balance between the environmental request and business profit under the circumstances of being eco-friendly and sustainable. The purpose of this study was to investigate the effects of business environmental factors on the 4p mix of an eco-friendly textile in the textile fashion firms. This research was conducted by a questionnaire method, in which the questionnaires were distributed to the textile fashion firms. Of the returned questionnaires, one hundred of them were selected to be included in the analysis by developing descriptive statistics, factor analysis, cronbach's alpha, and regression analysis using SPSS18.0. The results of this study were as follows: There were significant effects of the firms' environmental management, organizational structure, and CEOs' environmental sensitivity in descending order of the business internal factors on the textile fashion firms' eco-friendly textile product. The factors of the firms' environmental management, organizational structure(internal factors), and legal regulation(external factor), in descending order, significantly affected the promotion of the eco-friendly textile. The factor of firms' environmental management (internal factor) significantly affected the distribution of the eco-friendly textile. The factors of CEOs' environmental sensitivity(internal factor), legal regulation(external factor), and firms' environmental management(internal factor), in descending order, significantly affected the price of the eco-friendly textile.

• Architectural research
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• v.24 no.1
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• pp.1-11
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• 2022

As the occurrence of a crime is dependent on different factors, their correlations are beyond the ordinary cognitive range. Owing to this limitation, systems face difficulty in correlating various factors, thereby requiring the assistance of artificial intelligence (AI) to overcome such limitations. Therefore, AI has become indispensable for crime prediction. Crimes can cause severe and irrevocable damage to a society. Recently, big data has been introduced for developing highly accurate models for crime prediction. Prediction of night crimes should be given significant consideration, because crimes primarily occur during nights, when the spatiotemporal characteristics become vulnerable to crimes. Many environmental factors that influence crime rate are applied for crime prediction, and their influence on crime rate may differ based on temporal characteristics and the nature of crime. This study aims to identify the environmental factors that influence sex and theft crimes occurring at night and proposes an artificial neural network (ANN) model to predict sex and theft crimes at night in random areas. The crime data of A district in Seoul for 12 years (2004-2015) was used, and environmental factors that influence sex and theft crimes were derived through multiple regression analysis. Two types of crime prediction models were developed: Type A using all environmental factors as input data; Type B with only the significant factors (obtained from regression analysis) as input data. The Type B model exhibited a greater accuracy than Type A, by 3.26 and 9.47 % higher for theft and sex crimes, respectively.

• International Commerce and Information Review
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• v.12 no.4
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• pp.257-277
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• 2010

This paper examined the supply chain management Integration factors and evironmental performance in Korean industry. As SCM got evolved, the importance of Socially and Environmentally Responsible Supply Chain among the Supply Chain members are increased. we should consider the following critical factors such as SCM Integration, environmental practice, SCM performance and environmental performance. The purpose of this study is to focus on linkage between conventional SCM factors with new environmental factors to clarify the critical factor for the SCM firms who may concerns about environmental performance. Based on the analysis of sixty-two cases, the following results were found. First, SCM Integration factors of supply chain management have a positively significant influence on SCM performance and environmental performance of supply chain management. Second, SCM performance have a positively significant influent on environmental performance. Third, environmental practice factors of supply chain management have a positively significant influence on SCM performance but not significant influence on environmental performance. This study suggests that with high level of Integration and environmental practice, firms may have good result on SCM performance and environmental performance. Especially, our empirical evidence shows that environmental practices without good SCM performance, may not have good result on environmental performance.

• Communications for Statistical Applications and Methods
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• v.19 no.6
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• pp.849-858
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• 2012

Today, local environmental factors has an influence on our society. Local environmental factors, as well as weather-related natural phenomena, social phenomena are also included. In this paper, numeric factors and categorical factors were analyzed, looking for a local environmental factors affecting the company's sales.Sales model by performing a regression analysis based on this was implemented.Sales model considering the local environment had an accuracy of 88.89%.

• Korea Journal of Hospital Management
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• v.22 no.3
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• pp.46-60
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• 2017

The purpose of this study is to analyze the difference of productivity according to environmental factors among 25 Regional base public hospitals. Also this study is to propose a method to improve the productivity of Regional base public hospitals in the future by improving the public performance and stable management performance by studying the productivity variables affecting profitability. The survey period was based on the last three years, and 25 Regional base public hospitals were selected for the survey. The dependent variable is the total capital medical marginal profitability and the medical profit marginal profitability which are the indicators of profitability. The independent variable, productivity, is classified into three indicators: capital productivity, labor productivity, and value added productivity. The ANOVA analysis method was used to analyze the productivity difference according to the frequency factor and the environmental factors of the Regional base public hospitals. Finally, we conducted a hierarchical regression analysis to examine the productivity variables affecting profitability. The results of this study showed that there were differences in productivity due to environmental factors such as hospital size, competition in the local medical market, and differences in management performance. The difference in productivity and profitability depending on the environmental factors suggests that it is difficult for Regional base public hospitals in each regional base to perform a balanced public service. In order to overcome this, it is necessary to provide balanced medical services such as government financial support expansion, regional medical demand forecasting and facility infrastructure construction.