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20th International Conference on the economics of Grids, Clouds, Systems, and Services, GECON 2024

作者： Posso, Richard Altmann, Jörn Technology Management Economics and Policy Program College of Engineering Seoul National University Seoul Korea Republic of Integrated Major in Smart City Global Convergence Seoul National University Seoul Korea Republic of

ISBN: (纸本)9783031812255

Cybersecurity threats information (CTI) sharing protects firms and stakeholders from cyberattacks and avoid security vulnerabilities. However, despite these benefits of CTI sharing, firms are still unwilling to share due to barriers and challenges related to a lack of trust. Some studies explored the significance of trust in sharing cyber security information, but further studies are required to determine what dimensions compose trust, which processes support trust, and what trust building policies have been enacted to foster the sharing of information in cybersecurity ecosystems, which is the main purpose of this review. The deliverables from this review present 25 trust dimensions, 6 main processes supporting trust, and 30 trust government policies enacted to foster trust and sharing in cybersecurity. These outcomes enable the creation of a framework for building trust in cybersecurity ecosystems and facilitating the cyberthreat information sharing. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Cybersecurity Information Sharing Trust Trust Dimensions Trust Processes Trust-Building Policies

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Smart Mobility Solutions for Urban Transportation in ASEAN: A Bibliometric Study of Trends and Innovations 20th

Smart Mobility Solutions for Urban Transportation in ASEAN: ...

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20th International Conference on the economics of Grids, Clouds, Systems, and Services, GECON 2024

作者： Pambudi, Dany Hwang, Junseok Technology Management Economics and Policy Program College of Engineering Seoul National University Seoul08826 Korea Republic of Integrated Major in Smart City Global Convergence Seoul National University Seoul08826 Korea Republic of

ISBN: (纸本)9783031812255

The ASEAN region faces unique challenges in urban transportation due to rapid urbanization, increasing population densities, and the growing demand for sustainable mobility solutions. This study does a thorough bibliometric analysis of the patterns and advancements in smart mobility, with the objective of tackling these difficulties between 2013 and 2023, focusing on 1,249 peer-reviewed publications. The analysis shows a consistent increase in research effort, with publications reaching their highest point in the past two years. The study identified six main research areas: Intelligent Transportation Systems, Public Transportation, Smart City, Urban Mobility, Autonomous Vehicle, and Advanced Mobility Technologies. The findings suggest a transition from conventional transportation systems to integrated, technologically enhanced solutions prioritizing sustainability and efficiency. The study emphasizes the importance of innovation in addressing urban transportation issues in ASEAN cities and proposes potential areas for further research, including incorporating emerging technology and analyzing socio-economic effects. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Sustainable city

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Towards Trustworthy Aircraft Safety: Explainable AI for Accurate Incident and Accident Predictions 20th

Towards Trustworthy Aircraft Safety: Explainable AI for Accu...

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20th International Conference on the economics of Grids, Clouds, Systems, and Services, GECON 2024

作者： Amin, Maryam Noor, Umara Fatima, Manahil Rashid, Zahid Altmann, Jörn Department of Software Engineering Faculty of Computing and Information Technology International Islamic University Islamabad44000 Pakistan Technology Management Economics and Policy Program College of Engineering Seoul National University Seoul Korea Republic of College of Engineering Seoul National University Seoul Korea Republic of Integrated Major in Smart City Global Convergence Seoul National University Seoul Korea Republic of

ISBN: (纸本)9783031812255

Despite technological advancements, ensuring aircraft safety remains a challenge, however, Machine learning (ML)-based approaches for predicting future incidents play a crucial role in addressing flight safety. As ML models increase in complexity, their decision-making process becomes less transparent, posing significant challenges to trustworthiness. While simpler models demonstrate lower accuracy, more intricate models such as deep neural networks achieve higher accuracy but sacrifice interpretability. In this study, we enhance trustworthiness in aircraft safety prediction by leveraging a dataset of past accidents and incidents to prevent similar accidents from occurring in the future. To achieve this, we apply Random Forest and Extreme Gradient Boosting models to classify different categories of aircraft incidents. Additionally, we apply two powerful explainable artificial intelligence (XAI) techniques: Local Interpretable Model-Agnostic Explanations (LIME) and Shapley Additive exPlanations (SHAP) to provide insights into both local and global predictions made by the models. Notably, our results reveal high accuracy in these predictions while maintaining trustworthiness. This research contributes to the advancement of XAI and offers valuable insights for safety-critical applications and decision support systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Aircraft accidents

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Economic analysis of 15-valent and 20-valent pneumococcal conjugate vaccines among older adults in Ontario, Canada

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Expert Review of Vaccines 2025年第1期24卷 1-10页

作者： Gebretekle, Gebremedhin B. O’Reilly, Ryan Mac, Stephen Fadel, Shaza Crowcroft, Natasha S. Sander, Beate Institute of Health Policy Management and Evaluation University of Toronto ON Canada Toronto Health Economics and Technology Assessment (THETA) Collaborative University Health Network ON Canada Institute for Management & Innovation University of Toronto Mississauga Mississauga ON Canada Clinical Public Health Division Dalla Lana School of Public Health University of Toronto Mississauga ON Canada Centre for Vaccine Preventable Diseases Dalla Lana School of Public Health University of Toronto Mississauga ON Canada Primary Care & Health Systems Research Program ICES ON Canada Communicable Disease Control Public Health Ontario ON Canada

Background: Health Canada approved two new pneumococcal conjugate vaccines (PCV), 15-valent (PCV15) and 20-valent (PCV20), and we assessed their cost-effectiveness for older Ontarians. Research design and methods: We conducted a cost-utility analysis using an individual-level state transition model to compare one dose of PCV (alone or in series with PPV23) with PPV23-only. We estimated incremental cost-effectiveness ratios (ICERs) expressed in costs (C$2022) per quality-adjusted life year (QALY) from the healthcare payer perspective, discounted at 1.5% annually. Results: A sequential comparison of vaccinations with no indirect effect from childhood vaccination resulted in an ICER of $44,324/QALY for PCV15-alone compared to PPV23-only, and $70,751/QALY for PCV20-alone versus PCV15-alone. None of the PCV15/20 combined with PPV23 programs were cost-effective at a C$50,000/QALY threshold. PCV20 alone had an ICER of C$46,961/QALY compared to PPV23-only. When considering indirect effects, PCV15/20 alone or in series with PPV23 were not cost-effective. ICERs were mostly influenced by vaccine characteristics (effectiveness, waning, cost) and the incidence of pneumococcal community-acquired pneumonia. Conclusions: Vaccinating older adults with PCV15/20 likely reduces burden of pneumococcal disease and would be cost-effective initially, but is expected to be less economically attractive in the longer term when herd immunity benefits from childhood vaccination programs are considered. © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： Canada cost-effectiveness analysis older adults pneumococcal disease pneumococcal vaccination

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Dualistic nature of the 4IR: Investigating the economy-wide impacts of the 4IR with a focus on Korean economy using a CGE analysis

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Telecommunications policy 2025年第3期49卷

作者： Yeo, Yeongjun Hwang, Won-Sik Shin, Kiyoon Hong, Chanyoung Oh, Inha Jung, Sungmoon Lee, Jeong-Dong National Assembly Futures Institute 1 Uisadang-daero Yeongdeungpo-gu Seoul07233 Korea Republic of Department of Economics Jeonbuk National University 567 Baekje-daero Deokjin-gu Jeollabuk-do Jeonju-si54896 Korea Republic of Science and Technology Policy Institute 370 Sicheong-daero Sejong30147 Korea Republic of The Seoul Institute 57 Nambusunhwan-ro 340-gil Seocho-gu Seoul06756 Korea Republic of Department of Advanced Industry Fusion Konkuk University 120 Neungdong-ro Gwangjin-gu Seoul05029 Korea Republic of Department of Economics Dong-a University Bumin Campus 225 Gudeok-ro Seo-gu Busan49236 Korea Republic of Technology Management Economics and Policy Program College of Engineering Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of

This study quantitatively assesses and projects the socioeconomic impacts of the Fourth Industrial Revolution (4IR) with a focus on the South Korean economy. We have developed a policy simulation framework using a computable general equilibrium (CGE) model to capture the intricate interplay between 4IR-driven technological advances and various economic sectors. The CGE analysis endeavors to quantify the widespread implications of 4IR technological changes in terms of GDP, industrial production, labor market dynamics, and income distribution. The study constructs various policy scenarios predicated on the diffusion of 4IR technologies and the conditions within the labor market. From the CGE analysis, it is evident that the 4IR exerts a dualistic impact on the economic system, where it offers opportunities for economic growth and efficiency while concurrently risking an exacerbation of labor market polarization and income inequality. However, the simulation results imply that strategic workforce development, synchronized with the adoption of 4IR technologies through lifelong learning and skill enhancement, is essential to soften the adverse effects of swift technological advancements and to ensure the benefits of the 4IR are equitably distributed across the economy. Our study advocates for a balanced approach that recognizes the unique potential and challenges of each sector and aims to support the workforce across all levels of skill and income. © 2025 Elsevier Ltd

关键词： Inflation

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Technological M&A for Core technology Change: A Feasible Strategy for Incumbent Firms to Overcome the Challenges in the Steel Industry

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BHM Berg- und Huttenmannische Monatshefte 2017年第9期162卷 397-399页

作者： Kang, Jina Han, John Marhold, Klaus Technology Management Economics and Policy Program & Department of Industrial Engineering Seoul National University Seoul Korea Republic of Technology Management Economics and Policy Program Seoul National University Seoul Korea Republic of

Firms in the steel industry facing the declining stage of the industry life cycle need to renew their core technology portfolio. Technological M&A is a popular corporate strategy for core technology change in other high tech industries such as biopharmaceuticals or information and telecommunications. However, the objectives of steel industry M&As are more focused on achieving economies of scale or entering into new markets, and a core technology change has rarely been a purpose of technological M&As in the steel industry. This research introduces technological M&A as a tool for core technology change, especially to the steel industry. Further, comparing with traditional M&A deals of the steel industry, the study suggests key factors for a successful core technology renewal through technological M&As. © 2017, Springer-Verlag GmbH Austria.

关键词： Knowledge management

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Developing a novel Temporal Air-quality Risk Index using LSTM autoencoder: A case study with South Korean air quality data

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Science of the Total Environment 2025年 978卷 179303页

作者： Park, Hyerim Sohn, Wonho Kang, Eunjin Im, Jungho Lee, Junghye Technology Management Economics and Policy Program Seoul National University 1 Gwanak-ro Seoul08826 Korea Republic of Department of Industrial Engineering Ulsan National Institute of Science and Technology 50 UNIST-gil Ulsan44919 Korea Republic of Department of Civil Urban Earth Environmental Engineering Ulsan National Institute of Science and Technology 50 UNIST-gil Ulsan44919 Korea Republic of Institute of Engineering Research Seoul National University 1 Gwanak-ro Seoul08826 Korea Republic of of Engineering Practice Seoul National University 1 Gwanak-ro Seoul08826 Korea Republic of

As public awareness of environmental and health issues grows, providing accurate and accessible environmental risk information is essential for informed decision-making. Environmental indices simplify the complex impacts of various environmental factors into a single, interpretable score. The Air Quality Index (AQI) and Air Quality Health Index (AQHI), a widely recognized standard, reflects health risks posed by air pollution but has significant limitations. Conventional index calculations often focus on the single most hazardous pollutant or ignore the combined and cumulative effects of multiple pollutants. Additionally, the commonly used linear and arithmetic approaches can misrepresent actual risks and fail to capture the temporal dynamics of environmental factors. To address these limitations, we propose a deep learning framework for developing a more comprehensive air quality index, the Temporal Air-quality Risk Index (TARI). This framework employs a long short-term memory (LSTM) autoencoder to capture complex interactions and temporal dependencies among environmental factors. By incorporating a risk score (RS) that captures non-linear and continuous risks, TARI provides a more accurate assessment of the environmental impact on health. A case study using real air quality data from South Korea demonstrates that TARI outperforms the Korean Comprehensive Air-quality Index (CAI) and AQHI, exhibiting stronger correlations with disease prevalence. These results highlight TARI's improved sensitivity and relevance in assessing health risks, particularly by addressing cumulative and temporal pollutant effects. To our knowledge, this study is the first to apply deep learning to environmental index development, offering a flexible and robust framework with potential applications across diverse environmental systems. © 2025 Elsevier B.V.

关键词： Haze pollution

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Evolutionary Characteristics of China＇s Intermediate Manufactures

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China & World Economy 2007年第6期15卷 1-21页

作者： Minsung Kang Jeong-Dong Lee Researcher Technology Management Economics and Policy Program Seoul National University Seoul Korea. Associate Professor and Director Technology Management Economics and Policy Program Seoul National University Seoul Korea.

China ＇s economic development is characterized by progressive integration with international production chains as an assembly producer. Japan and South Korea are the major partners providing intermediate products to China. The present paper analyzes the Chinese intermediate sector＇s present condition and evolutionary characteristics revealed in bilateral trade with Japan and South Korea. The analysis uses the framework of new trade theory represented by ＂intra-industry trade＂. Trade statistics from 1997 to 2004 are analyzed using the database published by the OECD. Results show that China＇s inter-industrial evolution is characterized by its expanding positioning in the manner of the flying geese development paradigm of .4sian countries. Furthermore, intra-industrial evolution is characterized by a concentration on price competitiveness. The framework and results of the industrial analysis presented in this paper assist in the understanding of China ＇s manufacturing evolution and of the policy-making decisions taken in the process.

关键词： export flying-geese configuration intermediate manufacturing intra-industry trade

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Firm's strategic decision process modeling in security investment

Firm's strategic decision process modeling in security inves...

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UKSim European Symposium on Computer Modelling and Simulation

作者： Kim, So Young Hwang, Junseok Technology Management Economics and Policy Program Seoul National University Seoul Korea Republic of

ISBN: (纸本)9780769543086

Growing interest in information security technologies and security investments has resulted in many studies analyzing the information security investment process of firms and individuals. Existing studies, however, have focused on illustrating the behavior of a defender or an attacker unilaterally rather than observing the interaction of two players simultaneously. This study, therefore, expands the model of a defender's decision-making process that started with the accounting model, analyzes strategic behavior of an attacker and models the interactive decision-making process of two players. The most significant point of this study is to model the interaction of the two players making optimal decisions in relation to each other's decisions. In addition, we compared the equilibrium of a simultaneous game with a sequential game in which one player moves first and the other moves later. The late mover observes the behavior of the first mover and then decides its own behavior. We show the best point of time for the firm to invest in information security. © 2010 IEEE.

关键词： Decision making

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R & D partner type, product life-cycle, and innovation performance of high-technology ventures 2

R & D partner type, product life-cycle, and innovation perfo...

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2nd Annual IEEE International Symposium on Innovation and Entrepreneurship of the IEEE technology and Engineering management Society, TEMS-ISIE 2019

作者： Kim, Giwon M. Hwang, Juneseok Seoul National University Technology Management Economics and Policy Program Seoul Korea Republic of

ISBN: (纸本)9781728104355

To cope with rapidly changing market demand and deficiency of internal resources, innovative ventures actively invite various types of external partners to their innovation process. Although many research has been conducted to identify the effect of RD partner types on firm performances, few studies have taken into account venture firm as well as the stage of the product life-cycle in examining the issue, which can significantly affect the strategic decision on and the outcome of RD collaboration. To this end, this study focuses on high-technology ventures at three different stages in product life-cycle and examines the effect of RD collaboration with five different types of RD partner on innovation performance of ventures. Our findings reveal that for ventures in the introduction stage, RD collaboration with large firm is positively related to their innovation performance. In the growth stage of product life-cycle, RD collaborations with university, public research institute (PRI), and large firm are positively associated with innovation performance. Lastly, for ventures in the mature stage of product life-cycle, university and public research institute are suggested as effective partners for innovation performance of ventures. Neither RD collaboration with private research centers (PRC) nor other SMEs and ventures show a significant effect on innovation performance at all three stages of product life-cycle. This research contributes to the existing literature of open innovation and innovation management of ventures. © 2019 IEEE.

关键词： Life cycle

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