• International conference on construction engineering and project management
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• 2022.06a
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• pp.458-464
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• 2022

Hazard recognition is considered as one of the pre-requisites for effective hazard management and injury prevention. However, in complex and changing environments, construction workers are often unable to identify all possible hazards that can occur in the jobsite. Therefore, identification of factors that impact hazard recognition in the work environment is necessary to reduce safety incidents as well as to develop strategies that can improve worker's hazard recognition performance. This study identified factors/problems that impact worker's hazard recognition abilities and suggested some potential technologies that can mitigate such problems. Literature reviews of journal articles and published reports related to hazard recognition studies were conducted to identify the factors. The study found out that the major factor responsible for affecting worker's hazard recognition abilities were human-related. Industry factors, Organizational factors and Physical factors of the site were the other factors identified from the study that impact worker's hazard recognition performances. The findings from the study can help site personnel recognize areas where effective measures can be directed towards worksite safety of workers while working in complex construction environments.

• Proceedings of the Korean DIstribution Association Conference
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• 2000.10a
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• pp.183-185
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• 2000

A proactive approach on environmental issues may be one of critical competitive factors for global business in near future. Especially, distribution systems are very related to the various environmental issues, including development of green products and packaging, selection of the transportation vehicles and pallets, design of retail stores and distribution facilities, participation for solving the local environmental problems, and so on. In order to approach the environmental issues on distribution systems, for the first time managers need to understand the strategic framework for green management and then, to find the key success factors of leading companies in this field. Finally, future directions of strategic green management on distribution systems are discussed and shared.

• Environmental Engineering Research
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• v.21 no.2
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• pp.164-170
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• 2016

Since most of the existing wastewater treatment options lack the ability to treat micro-contaminants, the increased use of pharmaceuticals and personal care products (PPCPs) and release as human waste have become a serious concern in recent years. Constructed wetlands (CWs) are a low-cost technology for wastewater treatment, however, its performance in term of PPCPs removal has not yet been fully investigated. This study aimed to characterize the removal factors and efficiency of acetaminophen (ACT) removal by CWs. The results revealed the decreased concentrations of ACT with increasing hydraulic retention times (HRT) of 0, 3, 5 days. The contribution of removal factors was found to be varied with initial ACT concentration. At the low ACT concentration (i.e. 1 ppb), plant uptake was the dominant, followed by microbial and photolytic removal. In contrast, at the high ACT concentration (i.e. 100 ppb), microbial and photolytic removal were found as dominant factors. On the other hand, hydrogen peroxide ($H_2O_2$) concentration was found at higher level in the plant shoot than in the root probably due to occurrence of the Fenton reaction resulting in PPCPs removal.

• Journal of Forest and Environmental Science
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• v.34 no.4
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• pp.304-312
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• 2018

This study investigates to identify the impact factors of timber production cost on the relationship between production cost components and revenues generated by evaluating the entire timber supply chain. In this research, selected 13 logging zones as target areas and classified 14 forest production cost factors, six groups. Additionally, established 13 externalenvironmental factors with related stakeholders and forestry experts. And the BCR (Benefit Cost Ratio) method was then used to analyze the economics of each zone. Filled up a checklist and rated using 5 point scale for each target region, and extracted major cost factors for the production economy of the item. The analysis of major cost factors in the timber production revealed that wood grab equipment usage fee was the first ranked and forest trees purchase cost was ranked in the $2^{nd}$Also, the $3^{rd}$ranking was logging expenses, and transport cost, which accounted for 84% of the total cost, was ranked in the $4^{th}$. In addition, the rock land ratio, slope, timber payment (forest trees purchase cost), special timber, ratio of timber, DBH (Diameter at Breast Height), and mixed forest ratio were the factors that most affected the timber supply chain cost.

• The Journal of Information Systems
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• v.12 no.2
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• pp.165-187
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• 2003

This study examined the factors that make Korean companies adopt supply chain management systems. By adding a group of inter-organizational factors, we extended an innovation-theory-based research model to study the information technology adoption. Sixty three questionnaires from 700 leading companies in Korea were collected and analyzed. Independent variables of the research included environmental, organizational, innovation, and relational characteristics. We found that supply chain management systems in Korean companies are at the initial stage of the adoption, in general. This research also found that company's environmental characteristics have insignificant relationship with the adoption of supply chain management systems. In addition, organizational characteristics (the support of top management, the size of organization, and the information technology infrastructure), innovation characteristics of the supply chain, and the power exercised over the supply chain played important roles in adopting supply chain management systems.

• Journal of Environmental Impact Assessment
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• v.3 no.2
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• pp.69-75
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• 1994

Environmental Impact Assessment is composed of screening, scoping, inventory survey, prediction, assessment, alternative assessment, mitigation measure, and post management. Environmental monitoring data is applied to EIA process such as prediction and post management. It must he collected and managed systematically for effective applying in EIA process. This article explains factors such as air quality, water quality, soil, ocean, odor, noise & vibration, ecosystem, etc. and organizations of environmental monitoring managed by Ministry of Environment.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.917-924
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• 2024

Despite various government and institutional movements to promote implementation of smart construction, the utilization of smart technologies in the construction industry is still low compared to other industries. To take a systemic look at the impediments in the implementation of smart construction, this study identifies and analyzes the challenging factors of smart construction within the Korean construction industry. Through content analysis of relevant literature, including official documents, research reports, databases, 19 challenging factors have been identified. The intricate relationships among these challenging factors have been examined based on a hierarchy structure established by using the Interpretive Structural Modeling (ISM) approach. Furthermore, factors are classified into four distinct clusters by using the MICMAC analysis: driving factors, dependent factors, autonomous factors, and linkage factors. This classification delineates the interrelationships among the challenging factors and identifies the key factors that drive the system, which is different from that in traditional studies where the relative importance is generally given between factors. The findings will provide crucial information for policy designers and top-level authorities, indicating which challenging factors to prioritize limited resources and efforts. It will aid in formulating effective policies, standards, and regulations to foster the implementation of smart construction in the Korean construction industry.

• Journal of Forest and Environmental Science
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• v.33 no.2
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• pp.130-135
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• 2017

In temperate monsoon regions, extensive shallow landslides triggered by heavy rainfall are recurrent phenomena in mountainous areas. 1,357 landslides over Jinbu area, Korea that totaled 127 km2 were identified from aerial photographs and field survey. We examined characteristics of rainfall-induced shallow landslides and casual factors affecting landslide distribution with respect to topographic and forest settings, and land use. Most landslides occurred in the study area were the results of a complex combination of precondition, preparatory factors and triggering factors. Cumulative rainfall and high intensity rainfall during short period of time made the study area very sensitive to landslides and played as catalysts to enable other factors including topographic and forest settings, and land use to act more effectively. In addition, some landslides at lower elevation involved channel incision or bank erosion influenced by land use changes such as deforestation and intensification of agriculture surrounding riparian forests or hillslopes. The results suggest that most of landslide were triggered by heavy rainstorms while topographic, forest settings, and land use affected landslide distribution occurred in the study area.

• Environmental Engineering Research
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• v.22 no.2
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• pp.175-185
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• 2017

As the energy and environmental problems are increasingly severe, researches about carbon dioxide emissions has aroused widespread concern. The accurate prediction of carbon dioxide emissions is essential for carbon emissions controlling. In this paper, we analyze the relationship between carbon dioxide emissions and influencing factors in a comprehensive way through correlation analysis and regression analysis, achieving the effective screening of key factors from 16 preliminary selected factors including GDP, total population, total energy consumption, power generation, steel production coal consumption, private owned automobile quantity, etc. Then fruit fly algorithm is used to optimize the parameters of least squares support vector machine. And the optimized model is used for prediction, overcoming the blindness of parameter selection in least squares support vector machine and maximizing the training speed and global searching ability accordingly. The results show that the prediction accuracy of carbon dioxide emissions is improved effectively. Besides, we conclude economic and environmental policy implications on the basis of analysis and calculation.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.558-565
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• 2009

In recent years, the demand for green buildings is growing fast due to legislative and social pressures. Construction organizations, which play an important role in promoting building industry growth, are facing with challenges on how to adapt themselves to enhance sustainability of the buildings. In this paper, the green value chain and system frameworks, an extend application of Porter's value chain and system models, are introduced. Based on deep analysis of the green value chain and system frameworks, a revolution model for construction organizations towards green building is created. Management factors critical for a successful green building project, at the firm and project organization level, are extracted. Furthermore, external critical relationships are also identified. Fully understanding of these management factors and the model can help and enable practitioner to know what new capabilities should be deployed and developed in the long run for maximizing sustainability.