• Economic and Environmental Geology
• /
• v.39 no.5 s.180
• /
• pp.615-626
• /
• 2006

The natural resources and material life-cycle include all human activities related to resources and material extraction, transportation, processing, use, recovery and disposal. Sustainable material management (SMM) is an integrated set of policy approaches targeted on economic agents throughout the material life-cycles and designed to result in economically efficient and environmentally effective material use. The material flows of industrial mineral, ores and fossil fuels have also long been a focal area for environmental policies because of the high environmental pressures associated with extraction, processing, consumption, and final disposal of these materials. OECD work on material flow is to improve the quantitative and analytical knowledge bases about natural resource and material flows within and among countries, so as to better understand the importance of material resources in member countries' economies. In several EU Member States, material flow accounts are part of official statistics. Material flow analysis (MFA) is a valuation method which assesses the efficiency of use of materials using information from material flow accounting. Material flow analysis helps to identify waste of natural resources and other materials in the economy which would otherwise go unnoticed in conventional economic monitoring systems. Resource use and resource efficiency has emerged as a major issue for long-term sustainability and environmental policy.

• Korean Journal of Construction Engineering and Management
• /
• v.20 no.1
• /
• pp.73-85
• /
• 2019

Since the beginning of a new century, many Korean construction and engineering companies are facing a very dynamic and fast changing business environment which includes severe competition, higher risk, economic depression, declining revenues and profits, etc. In order to cope with these challenges, they need to secure special capabilities to actively adapt to the paradigm changes. One of those capabilities could be project management capability which allows us to manage organizational resources dynamically and integratively based on project portfolio management concept. The objective of this study is to investigate how the dynamic capability of a project-based organization to control the resource affects the firm performance and the competitive advantages. Data was collected from the construction and engineering companies in South Korea by using survey questionnaire, and analyzed for empirical tests by using statistical methods such as structural equation modelling and path analysis. The results showed that the organizational resources, if they had the VRIN characteristics, would have positive impacts on creating the dynamic capabilities for project organization. In turn, the dynamic capabilities of a project organization would have impacts on improving business performance and creating competitive advantages. Also, it was found that the organizational resources may have direct impact on business performance and competitive advantages. The academic contribution of this study is that it attempts to integrate resource based view and the dynamic capability theory about creating competitive advantages for project based organization. This study also provided practical implications to the companies in construction industry by showing how to use organizational resources strategically to create competitive advantages.

• Clean Technology
• /
• v.24 no.2
• /
• pp.146-153
• /
• 2018

The water footprint is an important component of the Single Market for Green Product initiative based on the EU's Roadmap to a Resource Efficient Europe. In July 2014, the EU has established the International Standard for Water Footprint (ISO 14046) and Korea has complied with the Korean Industrial Standard (KS I ISO 14046) in April 2015. If a certification system based on the international standard (ISO 14046) is introduced, developing countries such as India and Vietnam, which are not equipped with bases, can become a trade barriers in exporting, so Korea should establish a strategy to reverse them. On the other hand, water footprints are designed to take into account local environmental impacts when compared to similar footprints (eg, carbon footprint) using LCA, so that products manufactured and manufactured in Korea will have an impact on domestic waters Should be considered. Therefore, the method of the water footprint should conform to the standard for compatibility with other countries. In order to consider the domestic water condition, it is necessary to identify suitable indicator or factor for estimating water footprint on Korea. For this purpose, this study analyzed the water footprint estimation study conducted at domestic and foreign based on international standards and through the analysis of statistical data related to domestic water resources, we confirmed the applicability of the water footprint methodology in Korea.

• Proceedings of the Korea Society for Industrial Systems Conference
• /
• 1999.12a
• /
• pp.121-129
• /
• 1999

When continuous media are transmitted over the communication networks, asynchrony which can not maintain temporal relationships among packets may occur due to a random transit delay. There exist two types of synchronization schemes ; for guaranteed or non-guaranteed resource networks. The former which applies a resource reservation technique maintains delay characteristics, however, the latter supply a best-effort service. In this paper, I propose a intra-media synchronization scheme to transmit continuous media on general networks not guaranteeing a bounded delay tome. The scheme controls transmission times of the packets by estimating next delay time with the delay distribution. So, the arriving packets may be maintained within a limited delay boundary, and playout will be performed after buffering to smoothen small delay variations. The continually increasing delay due to network overload causes buffer underflow at the receiver. To solve it, the transmitter is required to speed up instantaneously. Too much increase of transmission-rate may cause network congestion. At that time, the transmitter drops the current packet when informed excessive delay from the receiver.

• Industry Promotion Research
• /
• v.2 no.1
• /
• pp.93-99
• /
• 2017

This study analyzed the effect of pension insurance on the human resources management of SME workers. As a result of the study, a total of 128 workers were enrolled in 60 SMEs in the Chungnam area who were enrolled in pension insurance. The analysis data were analyzed using frequency analysis, factor analysis, reliability analysis, correlation analysis, regression analysis And post - analysis. First, pension insurance had a significant effect on human resource management, and the correlation between independent variables (clarity, suitability, and satisfaction) and dependent variables (job efficiency) was high....Second, the correlation between pension insurance and job performance is more important than clarity and job performance (.339), fitness and job performance (.541), satisfaction and job performance (.531), job performance and job efficiency, And the turnover intention (.549). Third, there is no statistically significant difference in the analysis of the difference in turnover intention according to the number of years of service of the employees who are enrolled in pension insurance. The purpose of this study is to analyze the impact of pension insurance on human resources management to achieve successful policy objectives by promoting the long - term employment of the core manpower of SMEs and cultivating manpower.

• Water for future
• /
• v.47 no.1
• /
• pp.40-47
• /
• 2014

기후변화-수자원 적응과제들의 성공적인 수행과 결과물의 활용을 위해서는 안전행정부, 환경부, 농림축산식품부 등 물관련 정부부처간의 긴밀한 협조체계가 이루어져야 할 것이다. 이를 위해서는 (1)안전행정부의 재난관련 방재패러다임 전환 및 위기관리 체계강화를 위한 추진과제(자연재해 지자체 방재시스템), (2)환경부의 기후변화에 따른 물환경관리 대책 추진과제(비점오염, 수질, 수생태, 습지), (3)농림축산식품부의 농업수자원 및 산림자원 확보 추진과제(농업용수, 산림재해) 등의 진행상황 및 결과의 공유체계 및 공동활용을 위한 채널구축이 필요하다. 포럼에서의 의견으로서, 타분야 특히 산업일선에서는 이미 기후변화에 따른 적응정책과 더불어 관련기술의 개발이 진행되어 우리 수자원분야는 많이 늦은 감이 있다는 지적, 그리고 제시된 기획과제 중에서 제4세부과제인 수자원의 가치를 평가하는 기술개발이 매우 중요하다는 언급이 많았다. 이에 저자들은 수자원의 가치를 높이기 위해서는 농업 그리고 에너지 분야의 전문가들과의 협력연구(Water-Food-Energy Nexus)를 통하여 세 분야의 통계기반, 정보공유, 융합가치 등의 제반연구는 매우 중요한 미래과제라고 강조하였다.

• KDI Journal of Economic Policy
• /
• v.29 no.3
• /
• pp.75-109
• /
• 2007

This paper empirically investigates the effects of import tariff on within-plant productivity growth in Korean manufacturing, using the detailed plant-level longitudinal data of the Korea Census of Manufacturers for the period of 1993-2003. Our main findings are as follows: First, the productivity changes of Korean manufacturing for the period under analysis were mostly induced by within-plant productivity gains, rather than within-industry and/or between-industry resource reallocations. Second, after controlling for firm-specific heterogeneity, the estimation results indicate that lowering tariff-barriers has a positive impact on within-plant TFP growth. We interpret the results in a way that trade liberalization through the removal of tariff and non-tariff barriers heightens the competitive pressure, which in turn creates incentives to reduce production and managerial inefficiency and to invest more on innovative activities. Third, we also find that plant productivity growth from reducing tariff barriers is particularly conspicuous within a year after tariff changes, which implies that plants are quickly adjusting to heightened import competition. On the other hand, our results show that the trade effect on employment creation proceeds relatively slow.

• Journal of Korea Society of Industrial Information Systems
• /
• v.14 no.3
• /
• pp.106-113
• /
• 2009

Various statistical classification methods have been used to establish prediction model of underground cultural assets in our country. Among them, linear discriminant analysis, logistic regression, decision tree, neural network, and support vector machines are used in this paper. We introduced the basic concepts of above-mentioned classification methods and applied these to the analyses of real data of I city. As a results, five different prediction models are suggested. And also model comparisons are executed by suggesting correct classification rates of the fitted models. To see the applicability of the suggested models for a new data set, simulations are carried out. R packages and programs are used in real data analyses and simulations. Especially, the detailed executing processes by R are provided for the other analyser of related area.

• Journal of Korea Society of Industrial Information Systems
• /
• v.14 no.5
• /
• pp.281-288
• /
• 2009

The purpose of this paper is to provide the statistical models for landslide prediction through quantification and AHP methods. Quantification method is a statistical method of providing quantity to qualitative variables by analyzing the observed data. In this paper, we suggest the quantification process based on the results of cannonical correlation analysis. In contrast with the quantification method which is based on given data the AHP(Analytic Hierarchy Process) technique is a kind of method based on questionaire data which is usually taken from professionals. We analyze both the real data(provided from KIGAM) and questionaire data collected from professionals of various related area. We developed two kinds of evaluation table which provide the scores of land slide possibility and the logistic model providing the probability of occurring landslide. Finally we compare the performance and evaluate the stability of the suggested two models.

• KIPS Transactions on Software and Data Engineering
• /
• v.11 no.10
• /
• pp.427-436
• /
• 2022

Korea Trade-Investment Promotion Agency (KOTRA) annually publishes the trade data in South Korea under the guidance of the Ministry of Trade, Industry and Energy in South Korea. The trade data usually contains Gross domestic product (GDP), a custom tariff, business score, and the price of export items in previous and this year, with regards to the trading items and the countries. However, it is challenging to figure out the meaningful insight so as to predict the future price on trading items every year due to the significantly large amount of data accumulated over the several years under the limited human/computing resources. Within this context, this paper proposes a multi layer perception that can predict the future price of potential trading items in the next year by training large amounts of past year's data with a low computational and human cost.