• Industrial Engineering and Management Systems
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• 제15권1호
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• pp.99-109
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• 2016

During the last two decades, impact factor has been widely used as a journal evaluation metric that differentiates the influence of a specific journal compared with other journals. However, impact factor does not provide a reliable metric between journals in different subject categories. For example, higher impact factors are given to biology and general sciences than those assigned to other traditional engineering and social sciences. This study initially analyzes the trend of the time series of the impact factors of the journals listed in Journal Citation Reports during the last decade. This study then proposes new journal evaluation metrics that adjust the impact factors across different subject categories. The proposed metrics possibly provides a consistent measure to mitigate the differences in impact factors among subject categories. On the basis of experimental results, we recommend the most reliable and appropriate metric to evaluate journals that are less dependent on the characteristics of subject categories.

• 한국환경보건학회지
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• 제34권1호
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• pp.62-69
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• 2008

The life cycle assessment method for environmental impact assessment was used, in this study, to assess the production process of wheat flour which is the most important material in the food industry. Environmental impact assessments were compared between that of the Ministry of Environment, Republic of Korea (method I) with that of the Ministry of Commerce, Industry and Energy (method II). Life cycle inventories (LCI) was performed using internal and external databases and the production statistics database of company S. The procedure of life cycle impact assessment (LCIA) was followed in terms of classification, characterization, normalization and weighting to identify the key issues. The impact categories of method I were divided into 8 categories with consideration of : abiotic resources depletion, global warming, ozone depletion, photochemical oxidant creation, acidification and eutrophication. The impact categories of method II were divided into 10 categories with consideration of: abiotic resources depletion, global warming, ozone depletion, photochemical oxidant creation, acidification, eutrophication, human toxicity, freshwater aquatic ecotoxicity, marine aquatic ecotoxicity and terrestrial ecotoxicity.

• Environmental Engineering Research
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• 제22권3호
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• pp.266-276
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• 2017

A life cycle impact assessment was applied in an industrial waste incineration plant to evaluate the direct and indirect environmental impacts based on toxicity and non-toxicity categories. The detailed life cycle inventory of material and energy inputs and emission outputs was compiled based on the realistic data collected from a local industrial waste incineration plant, and the Korean life cycle inventory and ecoinvent database. The functional unit was the treatment of 1 tonne of industrial waste by incineration and the system boundary included the incineration plant and landfilling of ash. The result on the variation of the impact by the unit processes showed that the direct impact was decreased by 79.3, 71.6, and 90.1% for the processes in a semi dry reactor, bag filter, and wet scrubber, respectively. Considering the final impact produced from stack, the toxicity categories comprised 91.7% of the total impact. Among the toxicity impact categories, the impact in the eco-toxicity category was most significant. A separate estimation of the impact due to direct and indirect emissions showed that the direct impact was 97.7% of the total impact. The steam recovered from the waste heat of the incineration plant resulted in a negative environmental burden.

• 한국펄프종이공학회:학술대회논문집
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• 한국펄프종이공학회 2002년도 추계학술발표논문집
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• pp.228-233
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• 2002

In this study, Life Cycle Assessment method has been carried out the Corrugated board box in considering environmental aspects by quantifying the environmental emission and assessing its environmental impact potential. The system boundary in this study is selected from cradle to gate stage(raw material acquisition, raw material production and product manufacturing) of the paper product. To evaluate the environmental impact potential, impact categories are divided into 8 categories. As a results, abiotic resource depletion of the impact categories has the largest contribution to the total impact potential as 31.02% of total, Next were continued ecotoxicity having a contribution of 27.17%. In the life cycle, environmental impacts from law material production stage were contributed largely as 80.78%.

• 한국수소및신에너지학회논문집
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• 제29권1호
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• pp.111-116
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• 2018

The environmental impacts of a 1 kW polymer electrolyte membrane fuel cell (PEMFC) system are quantitatively assessed by performing a Life Cycle Assessment (LCA) study. A PEMFC system produces electricity and heat simultaneously, so an appropriate allocation of associated inputs and outputs is performed between the electricity and heat produced. The environmental impacts of the PEMFC system on the impact categories such as global warming (GW), abiotic depletion (AD), acidification (AC), and eutrophication (EU) are assessed from the life cycle impact assessment. The impact indicator results of the impact assessment on these impact categories are obtained as $3.70E-01kg\;CO_2\;eq./kWh$, 1.86E-03 kg Sb eq./kWh, $4.09E-04kg\;SO_2\;eq./kWh$, and $1.88E-05kg\;PO_4{^{3-}}/kWh$, respectively. For all impact categories studied the most influential stage is the operation stage, which accounts for 98.8%, 98.7%, 70.3%, and 62.3% of the total impact on GW, AD, AC, and EU, respectively. For the impact categories of AD, AC, and EU, most of the environmental impacts during the operation stage is attributed to the production of city gas. However, for the impact category of GW, $CO_2$ emission from the reforming process of city gas is the main reason for the largest contribution of the operation stage to the total impact results.

• 대한환경공학회지
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• 제27권7호
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• pp.704-711
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• 2005

본 연구에서는 국내 전력공급을 양분하는 원자력발전시스템과 화력발전시스템사이에 대하여 LCA를 수행하여 환경영향을 비교 평가하였다. 연구범위로서 두 발전시스템의 건설, 운영, 해체 및 폐기처분단계를 포함하였으며, 환경영향은 Life Cycle Impact Assessment(LCIA) 방법론을 이용하여 단일 환경영향으로 $CO_2$ 배출량을 평가하고, 영향 범주를 확대하여 8대 지구 환경영향 및 방사능 영향을 포함한 환경영향에 대하여 평가를 수행하였다. 평가 결과, 원자력발전시스템이 화력발전시스템보다 $CO_2$ 배출량 평가에서는 10,000배, 8대 환경영향범주에 대한 평가에서는 90배, 방사능을 고려한 환경영향 평가결과에서는 40배의 환경적 우위를 나타내어 환경영향범주 확대와 방사능 포함여부에 따라 원자력발전의 친환경성이 크게 달라짐을 알 수 있었다.

• 무역학회지
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• 제47권5호
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• pp.321-336
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• 2022

The purpose of this study aims to investigate how consumer awareness and purchasing behavior are affected by the type of animosity against the nation. This study classified animosity into three categories: sociocultural, economic, and war-based. Additionally, the consumer's cognition toward animosity was split into two categories-empathic concernt and personal distress-and the direction of consumption behavior was split into two categories-individual brand avoidance behavior and collective bandwagon behavior. The concept of Fear of Missing Out (FoMO) was introduced for the direction of consumption behavior, further validating the moderating impact. Structural equation modeling method was used to measure the general consumption behvior of Korean consumers' animosity. The results were analyzed using a total of 279 samples. As a result, animosity motivated by war and by economics had a substantial impact on empathic concern, while animosity motivated by socioculture had a significant impact on personal distress. Personal distress had a good impact on an individual's brand antipathy behavior, which in turn led to brand dislike and avoidance. Empathic concern also had a positive impact on the phenomena of group sympathy, which leads to identification of conduct and social conformity. Also, it was proven that the group that had a high level of FoMO reacted strongly to the phenomenon of group collective behavior.

• International Journal of Internet, Broadcasting and Communication
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• 제15권3호
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• pp.191-202
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• 2023

This study aims to propose a framework for evaluating the impact of artificial intelligence (AI) services, based on the concept of AI service impact. It also suggests a model for evaluating this impact and identifies relevant factors and measurement approaches for each item of the model. The study classifies the impact of AI services into five categories: ethics, safety and reliability, compliance, user rights, and environmental friendliness. It discusses these five categories from a broad perspective and provides 21 detailed factors for evaluating each category. In terms of ethics, the study introduces three additional factors-accessibility, openness, and fairness-to the ten items initially developed by KISDI. In the safety and reliability category, the study excludes factors such as dependability, policy, compliance, and awareness improvement as they can be better addressed from a technical perspective. The compliance category includes factors such as human rights protection, privacy protection, non-infringement, publicness, accountability, safety, transparency, policy compliance, and explainability.For the user rights category, the study excludes factors such as publicness, data management, policy compliance, awareness improvement, recoverability, openness, and accuracy. The environmental friendliness category encompasses diversity, publicness, dependability, transparency, awareness improvement, recoverability, and openness.This study lays the foundation for further related research and contributes to the establishment of relevant policies by establishing a model for evaluating the impact of AI services. Future research is required to assess the validity of the developed indicators and provide specific evaluation items for practical use, based on expert evaluations.

• Journal of Information Science Theory and Practice
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• 제6권1호
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• pp.65-82
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• 2018

Purpose - This research aims to examine collaboration from a disciplinary perspective in Korea. There are needs to explore to what extent researchers collaborate by discipline and across discipline along with the impact of collaboration. Design/methodology/approach - In order to investigate collaboration with respect to entire discipline areas and author-declared discipline information we analyzed a national researcher information database (Korean Researcher Information) with a citation index database (Korean Citation Index) covering the entire range of discipline. This study analyzed the data sets for 10 years (2004-2013) including a total of 8 categories and 119 sub-categories of disciplines, 109,551 researchers, 650,263 articles, and 1,170,039 citations in Korea. Findings - The results demonstrate that there are different intensities of collaboration from heavy to minimal across disciplines. In examining collaboration in terms of author and discipline levels, the results show that collaboration in author level rises, then inter-disciplinary collaboration increases accordingly, in most of the 119 discipline sub-categories. A number of disciplines, however, tended to collaborate more intensely within their own rather than with other disciplines. Moreover, the impact of collaboration tended to change over time depending on the types of collaboration. Specifically, inter-disciplinary collaboration was likely to have more immediate impact as pioneer research, especially among more than three disciplines, whereas the impact of intra-disciplinary collaboration is higher as time passes. Originality/value - In this research, a disciplinary investigation on collaboration is conducted for the entire range of disciplines in Korea. Through analyzing distinctive author-declared discipline information from the KRI, this research examines the intensities of collaboration across disciplines, collaboration in author level, and the impact of collaboration.

• East Asian Economic Review
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• 제28권1호
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• pp.69-94
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• 2024

The Covid-19 pandemic has caused unprecedented disruptions across industries worldwide. This paper aims to analyze the economic impact of the pandemic on the sales performance of basic commercial areas in Seoul, Korea. Using a regression analysis with credit card transaction data, the study underscores the critical nature of determining the reference point for comparison. Firstly, in comparison to the revenue in the same quarter before the onset of the pandemic, a significant decrease in revenue was observed across most categories during the pandemic periods. Secondly, when compared to the counterfactual revenue in the same period, extrapolated by an exponential smoothing forecasting, the overall revenue decrease during the periods was less pronounced, except in a few categories. Interestingly, certain categories appeared to witness marginal increases in sales after the pandemic. The paper discusses some policy implications of these findings.