• Proceedings of the Korean Institute of Building Construction Conference
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• 2013.11a
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• pp.214-215
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• 2013

Recently, Construction industry has been trying to reduce environmental impacts reflecting the global trend 'Green Growth'. However most of previous studies focused on operation & maintenance phases and do not have been approached construction phases. In addition, environmental management factors by project participants are assessed with only weight of factors, overlooking these work difficulty. Therefore This study aims to deducted the critical environmental management factors by project participants considering work difficulty in plan, design and construction phase. The basis data is collected through literature reviews and interview targeting each project participant and analyze these data using importance-difficulty analysis(IDA).

• Journal of Agricultural Extension & Community Development
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• v.30 no.2
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• pp.83-101
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• 2023

This study aims to examine the moderating effects of environmental friendly attitudes between perceived value and loyalty in ecotourists. A total of 210 valid questionnaires were collected from visitors to Saemangeum and Sihwaho during 7 days. The functional value, social value, and emotional value were identified as dimensions of perceived value from factor analysis. Results from regression analysis revealed that emotional value and social value positively influenced loyalty. Moreover, environmental friendly attitudes were found to moderate the relationship between loyalty and emotional and social values. The findings suggest that policy makers and practitioners consider environmental friendly attitude and perceived values in making ecotourism programs to sustain ecotourism destinations.

• Fashion & Textile Research Journal
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• v.15 no.1
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• pp.57-64
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• 2013

This research examines the environmental consciousness of fashion consumer attitudes towards eco-friendly products and artificial leather purchase intentions. The survey was conducted from March 11 to March 15 2012 and all respondents had at least once experience of purchasing fashion items made of artificial leather. A total of 426 subjects were used in the dataset; the statistical analysis methods were frequency analysis, factor analysis, reliability analysis and multiple analysis. The results are as follows. The study finds that environmental consciousness has three dimensions of public participation, resource conservation, and recycling. Public participation, recycling, and resource conservation influenced eco-friendly product attitudes. Eco-friendly product attitudes influenced artificial leather purchase intentions. The research results show that appropriate plans in fashion business such as usefulness of design and business value will need to be provided to fashion consumers. Detailed information on materials related to fashion products as the content of environment-friendly techniques and recycling methods will help consumers to evaluate environmental-friendly attitude products.

• The Journal of Information Systems
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• v.26 no.4
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• pp.227-246
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• 2017

Purpose: As the importance of software has been emphasized recently, the size of the software market is continuously expanding. The development of the software market is being adversely affected by software piracy. In this study, we try to classify countries around the world based on the macro environmental factors, which influence software piracy. We also try to identify the differences in software piracy for each classified type. Design/methodology/approach: The data-driven approach is used in this study. From the BSA, the World Bank, and the OECD, we collect data from 1990 to 2015 for 127 environmental variables of 225 countries. Cronbach's ${\alpha}$ analysis, item-to-total correlation analysis, and exploratory factor analysis derive 15 constructs from the data. We apply two-step approach to cluster analysis. The number of clusters is determined to be 5 by hierarchical cluster analysis at the first step, and the countries are classified by the K-means clustering at the second step. We conduct ANOVA and MANOVA in order to verify the differences of the environmental factors and software piracy among derived clusters. Findings: The five clusters are identified as underdeveloped countries, developing countries, developed countries, world powers, and developing country with large market. There are statistically significant differences in the environmental factors among the clusters. In addition, there are statistically significant differences in software piracy rate, pirated value, and legal software sales among the clusters.

• Environmental Analysis Health and Toxicology
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• v.31
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• pp.8.1-8.2
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• 2016

A simple linear model to test the hypothesis based on one-on-one relationship has been used to find the causative factors of diseases. However, we now know that not just one, but many factors from different systems such as chemical exposure, genes, epigenetic changes, and proteins are involved in the pathogenesis of chronic diseases such as diabetes mellitus. So, with availability of modern technologies to understand the intricate nature of relations among complex systems, we need to move forward to the future by taking complex systems model.

• Environmental Analysis Health and Toxicology
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• v.21 no.3 s.54
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• pp.229-238
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• 2006

Although, mercury (Hg) is not a naturally abundant element in the environment, residues frequently occur in many environmental compartments because of widespread contamination from industrial and agricultural practices. This research evaluated Hg-B concentrations of general population who was not occupationally exposed. And also evaluates the association between life factor and health effect with Hg-B concentration of general adult through interrelationship estimation and index about kidney function and oxidative damage that appeared by questionnaire survey and medical examination. Average concentration of Hg-B was 3.19 $\mu$g/L (ND$\sim$8.64 $\mu$g/L), and persons who exceed mercury exposure level (5 $\mu$g/L) presented in WHO (1990) appeared by 16 (7.0%). High-risk group (smoking and meat main intake group) had significantly higher Hg-B concentration than low-risk group (non-smoking and vegetable diet main intake group) (p < 0.05, low-risk group: 3.30 $\mu$g/L (ND$\sim$8.64 $\mu$g/L), high-risk group: 4.27 $\mu$g/L (ND$\sim$7.84 $\mu$g/L).

• Journal of Korean Home Economics Education Association
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• v.17 no.2
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• pp.129-143
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• 2005

The purpose of this study was to verify the validity of Ohio State Teacher Efficacy Scale(OSTES: Tschannen-Moran, 2000) when used with Korean home economics teachers. To achieve this purposes, the surveys with 263 secondary school home economics teachers was conducted by the prime investigator. Statistical procedures included descriptive statistics, factor analysis, internal consistency. Cronbach's a was calculated to test the reliability of items and their internal consistency and Exploratory Factor Analysis(EFA) was conducted to test the structure of each factors with principal analysis and varimax rotation. Confirmatory Factor Analysis(CFA) was conducted to test the factor validity of this scale with AMOS program. The reliability test result of 20 items appeared Cronbach's a=.86. The factor analysis on teacher efficacy with 263 survey of secondary school home economics teachers produced 5 factors including efficacy in classroom management. efficacy in needs assistance, efficacy in instructional strategies, efficacy in environmental assistance and efficacy in teaming assistance. The validity of teacher efficacy scale was moderately verified by the confirmatory factor analyses(GFI=.87, AGFI=.84. CFI=.86. PNFI=.72, RMR=.05. RMSEA=.07). The results lend a support to the teacher efficacy scale as a valid instrument.

• Economic and Environmental Geology
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• v.33 no.1
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• pp.51-59
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• 2000

As a part of natural hazard assessment, regional slope stability analysis was conducted using Geoscientific Information System (GIS) in the northern area of Chungju Lake. Selected factors which affect the slope stability in the study area were lithology, soil, density of lineament, groundwater level, dip of slope, aspect of slope, and geological engineering properties. Geological structural domains were determined by collected data of joint orientation from about 200 sites in order to produce a slope instability map. Potential type of failure and its direction could be expected through the domains. And a slope instability map was produced, comparing the representative orientations of the domains with the orientations of the slopes which were made through TIN module in ARC/INFO. Under the consideration of environmental geological characteristics of the study area, rating and weighting of each factor of slope stability analysis were decided and spatial analysis of regional slope stability was couducted through overlaying technique of GIS. The result of areal distribution of slope stability showed that the most unstable area was the area between Mt. Pudae and Mt. Jubong, and the northern area of the railway station, Samtan.

• Journal of Microbiology and Biotechnology
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• v.23 no.10
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• pp.1428-1433
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• 2013

Jeotgal fermentation is dependent upon a diverse microbial community, although a detailed understanding of its microbial composition is limited to a relatively small number of jeotgal. Pyrosequencing-based bacterial community analysis was performed in fermented squid, ojingeo jeotgal. Leuconostoc was identified as the predominant bacterial genus, with Bacillus and Staphylococcus also accounting for a large proportion of the bacterial community. Phylogenetic analysis with 16S rRNA genes of Leuconostoc type species indicated that L. citreum- and L. holzapfelii-like strains could be the major Leuconostoc strains in jeotgal. High concentrations of NaCl were thought to be an important factor determining the makeup of the bacterial community in the fermented squid; however, a genomic survey with osmotic stress-related genes suggests the existence of more complex factors selecting the dominant bacterial species in fermented squid.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.450-458
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• 2007

This paper presents the results of a statistical analysis and its research findings focusing on the learning aspect in the process of international joint ventures (IJVs). The contents of this paper is derived from a sample of 96 field cases based on a proposed conceptual model of effective learning for international construction joint ventures (ICJVs). The paper presents a brief review on the conceptual model with hypotheses and summarized the key results of statistical analysis including factor and multiple regression analysis for the testing of the validity of the proposed conceptual model and its associated research hypotheses. Among other research findings, the research confirms that ICJVs provides an excellent platform of in-action learning for construction organization and suggests that good outcomes in learning could be reaped by a company who has a clear learning intent from the beginning and subsequently take corresponding learning actions during the full process of the joint venture.