• Title/Summary/Keyword: ESG management

Search Result 168, Processing Time 0.024 seconds

Technology Trends of Semiconductor Package for ESG (ESG를 위한 반도체 패키지 기술 트렌드)

  • Minsuk Suh
    • Journal of the Microelectronics and Packaging Society
    • /
    • v.30 no.3
    • /
    • pp.35-39
    • /
    • 2023
  • ESG (Environment, Social, Governance) has become a major guideline for many companies to improve corporate value and enable sustainable management. Among them, the environment requires a technological approach. This is because technological solutions are needed to reduce or prevent environmental pollution and save energy. Semiconductor package technology has been developed to better satisfy the essential roles of semiconductor packaging: chip protection, electrical/mechanical connection, and heat dissipation. Accordingly, technologies have been developed to improve heat dissipation effect, improve electrical/mechanical properties, improve chip protection reliability, stacking and miniaturization, and reduce costs. Among them, heat dissipation technology increases thermal efficiency and reduces energy consumption for cooling. Also, technology to improve electrical characteristics has had an impact on the environment by reducing energy consumption. Technologies that recycling or reducing material consumption reduce environmental pollution. And technologies that replace environmentally harmful substances contribute to environmental improvement, in particular. In this paper, I summarize trends in semiconductor package technologies to prevent pollution and improve environment.

Trend Analysis of LEED Certifications: Insights and Future

  • Lee, SeungMin;Kwak, Young Hoon
    • International conference on construction engineering and project management
    • /
    • 2022.06a
    • /
    • pp.1009-1016
    • /
    • 2022
  • As environmental concerns grow, people are becoming more aware of energy efficiency, carbon reduction, and sustainable development. Leadership in Energy and Environmental Design (LEED) certification is currently the most widely recognized building environment assessment method connected to energy and the environment worldwide. This study explores trends for six factors (energy and atmosphere, materials and resources, indoor environmental quality, sustainable sites, water efficiency, and innovation in design) to assess four levels of LEED certification (Platinum, gold, silver, and certified) using 11,209 LEED projects in the United States. The study analyzes trends using scores of percentages of maximum points by certification level, ownership type, space type, and climate zones. With the interest in the Environmental, Social, and Governance (ESG) principle on the rise, this study contributes to a better understanding of the trends and future of LEED certification in the built environment sector.

  • PDF

A Study on the Prediction of Nitrogen Oxide Emissions in Rotary Kiln Process using Machine Learning (머신러닝 기법을 이용한 로터리 킬른 공정의 질소산화물 배출예측에 관한 연구)

  • Je-Hyeung Yoo;Cheong-Yeul Park;Jae Kwon Bae
    • Journal of Industrial Convergence
    • /
    • v.21 no.7
    • /
    • pp.19-27
    • /
    • 2023
  • As the secondary battery market expands, the process of producing laterite ore using the rotary kiln and electric furnace method is expanding worldwide. As ESG management expands, the management of air pollutants such as nitrogen oxides in exhaust gases is strengthened. The rotary kiln, one of the main facilities of the pyrometallurgy process, is a facility for drying and preliminary reduction of ore, and it generate nitrogen oxides, thus prediction of nitrogen oxide is important. In this study, LSTM for regression prediction and LightGBM for classification prediction were used to predict and then model optimization was performed using AutoML. When applying LSTM, the predicted value after 5 minutes was 0.86, MAE 5.13ppm, and after 40 minutes, the predicted value was 0.38 and MAE 10.84ppm. As a result of applying LightGBM for classification prediction, the test accuracy rose from 0.75 after 5 minutes to 0.61 after 40 minutes, to a level that can be used for actual operation, and as a result of model optimization through AutoML, the accuracy of the prediction after 5 minutes improved from 0.75 to 0.80 and from 0.61 to 0.70. Through this study, nitrogen oxide prediction values can be applied to actual operations to contribute to compliance with air pollutant emission regulations and ESG management.

Study of Necessity of Advanced Integrated Digital Engineering and Management Tools (선진통합형 디지털 엔지니어링 및 경영 도구의 필요성 연구)

  • Luke (Yang Ouk) Kim;Kyung Ho Lee
    • Journal of the Computational Structural Engineering Institute of Korea
    • /
    • v.36 no.1
    • /
    • pp.27-38
    • /
    • 2023
  • How the port, shipping, shipbuilding, and vender industries in Korea can have a seamless value chain through their digitally smooth cooperation by applying the latest information and communications technology through the "4th industrial revolution" was examined. Also considered was the proposition that the value chain should be a smart, seamless value chain among industries with successful hyperconnection. Their cooperative relationships were defined, and the crucial elements for the sustainable development of these industries were considered. As a result, the direction for achieving environmental, social, and governance management by realizing decarbonization through today's digitalization could be studied. In particular, the importance of digitization as a way to respond to the future market from the perspective of small and medium-sized enterprises and the role of digitization realized by small and medium-sized equipment companies in the overall industry were examined. The results simultaneously show the state of linkage between industries and the reason why the value chain must maintain a smooth relationship. In addition, using the lessons learned from recent failure cases from the Korean shipbuilding industry as a cornerstone, the direction for creating a strategic pathway for intelligent connection was investigated.

The Impact of Expected Value of Michelin Guide Star Restaurants on Visit Intention (미슐랭 가이드 스타 레스토랑에 대한 기대가치가 방문의도에 미치는 영향)

  • Sung-Yong CHOI;Sung-Hyun YOON
    • The Korean Journal of Franchise Management
    • /
    • v.15 no.2
    • /
    • pp.77-87
    • /
    • 2024
  • Purpose: South Korea is one of the markets where diverse and innovative cuisines are being tried. Therefore, the expectations for Michelin star restaurants in South Korea are high. The expected value of a Michelin star restaurant consists of both hedonic and utilitarian aspects of the dining experience. These consumer expectations affect visit intention. Research design, data, and methodology: The survey period was from October 10, 2023 to October 18, 2023, and 302 copies were used for hypothesis verification. Result: Hedonic expected value was found to have a significant positive influence on short-term and long-term visit intention, but had no significant effect on mid-term visit intention. Utilitarian expected value was found to have a significant positive influence on short-term and mid-term visit intention, but did not appear to have a significant effect on long-term visit intentions. Short-term visit intention was found to have a significant positive influence on mid-term visit intention, and mid-term visit intention was found to have a significant positive influence on long-term visit intention. Conclusions: The theoretical implications are restaurants need to utilize third-party certification, such as the Michelin Guide. The practical implication is that Michelin star restaurants should provide expected value to increase short-term visit intention.

A Study on the Priority of Sustainability Areas and Indicators of Domestic Smart Ports (국내 스마트 항만의 지속가능성 영역과 지표의 우선순위에 관한 연구)

  • Lee, Jae-Hoon;Chang, Myung-Hee
    • Journal of Korea Port Economic Association
    • /
    • v.38 no.4
    • /
    • pp.65-85
    • /
    • 2022
  • In this study, in order to derive the priority of indicators and sustainability areas of smart ports, which means ports in the digital era, previous studies and ESG, which have recently been indispensably introduced in all industries worldwide, were studied together. A hierarchical structure was established with upper evaluation items and 20 lower evaluation items in four areas (operational, environmental, social, and governance), and a relative evaluation method of weighting items among the AHP techniques was applied. The pairwise comparison questionnaire consisted of a 9-point scale proposed by Satty (1980). A survey was conducted targeting working-level workers who perform sustainability or ESG(Environmental, Social, Governance)-related work at four representative port authorities in Korea (Busan, Incheon, Ulsan, Yeosu Gwangyang). In order to increase the accuracy of the analysis results, AHP analysis was conducted on 17 questionnaires with a consistency ratio of 0.1 or less. As a result of the analysis, it was confirmed that among the four areas representing the sustainability of domestic smart ports, the operation area had the highest priority, followed by the environment area. In addition, looking at the overall priorities for the 20 detailed indicators, indicators such as operational efficiency, operational planning, energy management, and pollution measurement and management system were found to have high priority. On the other hand, it was confirmed that the social and the governance areas had relatively low importance compared to other areas.

An Empirical Study for the Effect of CSR Performance on Tax Avoidance: The Case Of South Korea (한국 시장에서의 기업의 사회공헌활동과 조세회피)

  • Lee, Jeong Hwan;Cho, Jin-Hyung;Kim, Sanghee
    • Asia-Pacific Journal of Business
    • /
    • v.12 no.1
    • /
    • pp.195-208
    • /
    • 2021
  • Purpose - The primary objective of this paper is to empirically examine whether the engagement of socially responsible activities in corporations affect the tendency of tax-avoidance by using the sample of Korean companies. We are particularly interested in Chaebol-affiliated firms, which are a special type of Korean conglomerates. Design/methodology/approach - This study is based on a sample of 5,496 firm-year observation data from 2011 to 2017 by using the ESG ratings from the Korea Corporate Governance Service(KCGS), a ESG rating agency in Korea. For our analysis, the firms were separated into 1,547 Chaebol-affiliated firms and other 3,949 firms. All financial and firm data were extracted from Fn-guide, which provides financial information for Korean listed firms. Findings - We find that CSR is generally positively related to the effective tax rate, which indicates a lower level of tax avoidance for more socially responsible firms. In particular, a positive relationship of social score with GAAP ETR was observed. Research implications or Originality - We find that the positive relationship is robust to the group of chaebol and non-chaebol affiliates unlike extant literature.

A Study on the Development of ESG Indicators for Sustainable Smart Ports (지속가능한 스마트 항만을 위한 ESG 지표 개발에 관한 연구)

  • Jae-Hoon Lee;Myung-Hee Chang
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
    • /
    • 2022.11a
    • /
    • pp.296-297
    • /
    • 2022
  • A smart port refers to a port built based on digital technologies such as IoT, big data, AI, and block chain, and refers to a port that minimizes waste of time, space and resources as the only means of survival of the port. Sustainability refers to 'environmental, economic, and social characteristics that enable people to continue to use the environment, ecosystem, or publicly used resources'. It contains the meaning of 'future sustainability' that can be maintained in the future. In the face of the 4th industrial revolution, interest and realization of smart port construction and sustainability are actively progressing around the world. In this study, core indicators of the ESG (Enviornment, Social, Governance) area, which are key elements of sustainable smart ports, were developed,

  • PDF

The Impact of Firms' Environmental, Social, and Governancial Factors for Sustainability on Their Stock Returns and Values (지속가능경영을 위한 기업의 환경적, 사회적, 지배구조적 요인이 주가수익률 및 기업 가치에 미치는 영향)

  • Min, Jae H.;Kim, Bumseok;Ha, Seungyin
    • Journal of the Korean Operations Research and Management Science Society
    • /
    • v.39 no.4
    • /
    • pp.33-49
    • /
    • 2014
  • This study empirically examines the impact of firms' environmental (E), social (S), and governancial (G) factors on their short-term and long-term values. To measure firms' non-financial performance, we use ESG performance grades published by KCGS (Korea Corporate Governance Service). We employ stock log return as the proxy of each firm's short-term value, and Tobin's Q ratio as that of its long-term value. From a series of regression analyses, we find each of the ESG factors generally has a negative impact on stock return while it has a positive impact on the Tobin's Q ratio. These results imply that firms' effort for enhancing their non-financial performance may adversely affect their financial performance in a short term; but in the long-term point of view, firms' values increase through their good images engraved by their respective social, environmental and governancial efforts. In addition, we compare the relative strength of impact among E, S, G, the three non-financial factors on the firms' value measured in Tobin's Q ratio, and find that S (social factor) and G (governancial factor) give statistically significant impact on the firms' value respectively. This result tells us it would be advised to strategically embed CSV (creating shared value) pursuing both of profits and social responsibility in the firms' future agenda. While E (environmental factor) is shown to be an insignificant factor for the firms' value, it should be emphasized as a major concern by all the stakeholders in order to form a sound business ecosystem.

The Evaluation of a Plastic Material Classification System using Near Field IR (NIR) Spectrum and Decision Tree based Machine Learning (Near Field IR (NIR) 스펙트럼 및 결정 트리 기반 기계학습을 이용한 플라스틱 재질 분류 시스템)

  • Kook, Joongjin
    • Journal of the Semiconductor & Display Technology
    • /
    • v.21 no.3
    • /
    • pp.92-97
    • /
    • 2022
  • Plastics are classified into 7 types such as PET (PETE), HDPE, PVC, LDPE, PP, PS, and Other for separation and recycling. Recently, large corporations advocating ESG management are replacing them with bioplastics. Incineration and landfill of disposal of plastic waste are responsible for air pollution and destruction of the ecosystem. Because it is not easy to accurately classify plastic materials with the naked eye, automated system-based screening studies using various sensor technologies and AI-based software technologies have been conducted. In this paper, NIR scanning devices considering the NIR wavelength characteristics that appear differently for each plastic material and a system that can identify the type of plastic by learning the NIR spectrum data collected through it. The accuracy of plastic material identification was evaluated through a decision tree-based SVM model for multiclass classification on NIR spectral datasets for 8 types of plastic samples including biodegradable plastic.