• Title/Summary/Keyword: Platform management

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A Study on Distributed Collective Energy Policy Changes: Focusing on the National Heat Map Project Based on Energy Data (분산형 집단에너지 정책변동 연구: 에너지 데이터 기반의 국가 열지도 사업을 중심으로)

  • Park Eunsook;Park Yongsung
    • Knowledge Management Research
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    • v.24 no.1
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    • pp.195-221
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    • 2023
  • As the global energy and climate crisis has complicated interests of each country, the agenda that requires a global response has recently been revived. In particular, Korea is highly dependent on energy imports and continues to have high energy consumption, low efficiency of energy consumption, and high greenhouse gas emissions, so innovative and effective energy policies are urgently needed to achieve energy efficiency and carbon neutrality. In this study, among the changes in distributed district energy policy after the integrated energy method was introduced in Korea in the mid-1980's, the case of the "National Heat Map Project" policy implementation is analyzed with a modified multi-flow model. The 10 years of the Lee Myung-bak and Park Geun-hye administrations, the period of study, was a period in which the main paradigm of energy policy shifted to a "distributed energy platform" and policy transitions such as policy agenda setting, policy drift, and policy revision were made. A study on the process would be meaningful.

Plans for Resource Circulatory Culture Program in Sejong (세종시 자원순환사회 조성 추진 방안)

  • Kim, KyeongRae;Shin, Dong Won
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.150-152
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    • 2021
  • For the development of a resource recycling society, it is important to control the generation of waste in all processes such as production, distribution, consumption and disposal, and to recycle the recyclable resources of waste instead of simply landfilling and incineration. However, in order to develop a resource-recycling society, not only emitters, businesses, and the central government, but also local governments need to work together to find a solution. Therefore, in this study, we present a promotion strategy for the development of Sejong City's resource-recycling society, taking into consideration the current situation of Sejong City as well as changes in the government's institution system. We suggest that regionally preparing recycling priority management plan, maximizing waste resource utilization, establishing recycling industry activation plan, and building a systematic and efficient recycling platform, etc.

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A study on improvement of policy of artificial intelligence for national defense considering the US third offset strategy (미국의 제3차 상쇄전략을 고려한 국방 인공지능 정책 발전방안)

  • Se Hoon Lee;Seunghoon Lee
    • Industry Promotion Research
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    • v.8 no.1
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    • pp.35-45
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    • 2023
  • This paper addressed the analysis of the trend and direction of the US defense strategy based on their third offset strategy and presented the practical policy implication of ensuring the security of South Korea appropriately in the future national defense environment. The countermeasures for the development ability of advanced weapon systems and secure core technologies for Korea were presented in consideration of the US third offset strategy for the future national defense environment. First, to carry out the innovation of national defense in Korea based on artificial intelligence(AI), the long-term basis strategy for the operation of the unmanned robot and autonomous weapon system should be suggested. Second, the platform for AI has to be developed to obtain the development of algorithms and computing abilities for securing the collection/storage/management of national defense data. Lastly, advanced components and core technologies are identified, which the Korean government can join to develop with the US on a basis of the Korea-US alliance, and the technical cooperation with the US should be stronger.

A Review of the Application of Constructed Wetlands as Stormwater Treatment Systems

  • Reyes, Nash Jett;Geronimo, Franz Kevin;Guerra, Heidi;Jeon, Minsu;Kim, Lee-Hyung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.162-162
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    • 2022
  • Stormwater management is an essential component of land-use planning and development. Due to the additional challenges posed by climate change and urbanization, various stormwater management schemes have been developed to limit flood damages and ease water quality concerns. Nature-based solutions (NBS) are increasingly used as cost-effective measures to manage stormwater runoff from various land uses. Specifically, constructed wetlands were already considered as socially acceptable green stormwater infrastructures that are widely used in different countries. There is a large collection of published literature regarding the effectiveness or efficiency of constructed wetlands in treating stormwater runoff; however, metadata analyses using bibliographic information are very limited or seldomly explored. This study was conducted to determine the trends of publication regarding stormwater treatment wetlands using a bibliometric analysis approach. Moreover, the research productivity of various countries, authors, and institutions were also identified in the study. The Web of Science (WoS) database was utilized to retrieve bibliographic information. The keywords ("constructed wetland*" OR "treatment wetland*" OR "engineered wetland*" OR "artificial wetland*") AND ("stormwater*" or "storm water*") were used to retrieve pertinent information on stormwater treatment wetlands-related publication from 1990 up to 2021. The network map of keyword co-occurrence map was generated through the VOSviewer software and the contingency matrices were obtained using the Cortext platform (www.cortext.net). The results obtained from this inquiry revealed the areas of research that have been adequately explored by past studies. Furthermore, the extensive collection of published scientific literature enabled the identification of existing knowledge gaps in the field of stormwater treatment wetlands.

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Evaluation of Knowledge Graph for Interoperating Digital Records (디지털 기록의 상호운용을 위한 지식그래프의 평가)

  • Haram Park;Haklae Kim
    • Journal of Korean Society of Archives and Records Management
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    • v.23 no.4
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    • pp.159-178
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    • 2023
  • A digital archive is an online platform for preserving and utilizing digital records worthy of continued preservation. However, there are no shared standards for functionality, metadata, or data technical principles across digital archives in Korea. These issues create challenges in linking distributed digital records. This study proposes a common vocabulary for digital archives to enhance the interoperability of digital records and evaluates the interoperability of the digital archive built with the common vocabulary. We collect and analyze data from the digital archive on the Korean financial crisis of 1997 to construct a knowledge graph and compare its interoperability with the knowledge graph built with RiC-O. The archive and the knowledge graph underwent evaluation using the FAIR data principles evaluation framework. The constructed knowledge graph links various objects in the archive and provides contextual information to aid in understanding the archive. The results demonstrate that a knowledge graph built with a common vocabulary significantly improves the linkage, search, and interoperability of digital records compared to a traditional archive.

Can Generative AI Replace Human Managers? The Effects of Auto-generated Manager Responses on Customers (생성형 AI는 인간 관리자를 대체할 수 있는가? 자동 생성된 관리자 응답이 고객에 미치는 영향)

  • Yeeun Park;Hyunchul Ahn
    • Knowledge Management Research
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    • v.24 no.4
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    • pp.153-176
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    • 2023
  • Generative AI, especially conversational AI like ChatGPT, has recently gained traction as a technological alternative for automating customer service. However, there is still a lack of research on whether current generative AI technologies can effectively replace traditional human managers in customer service automation, and whether they are advantageous in some situations and disadvantageous in others, depending on the conditions and environment. To answer the question, "Can generative AI replace human managers in customer service activities?", this study conducted experiments and surveys on customer online reviews of a food delivery platform. We applied the perspective of the elaboration likelihood model to generate hypotheses about whether there is a difference between positive and negative online reviews, and analyzed whether the hypotheses were supported. The analysis results indicate that for positive reviews, generative AI can effectively replace human managers. However, for negative reviews, complete replacement is challenging, and human managerial intervention is considered more desirable. The results of this study can provide valuable practical insights for organizations looking to automate customer service using generative AI.

An Exploratory Study of Psychological Characteristics of Metaverse Users (메타버스 이용자의 심리 특성 탐색 연구)

  • Hyeonjeong Kim;HyunJung Kim;Beomsoo Kim;Hwan-Ho Noh
    • Knowledge Management Research
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    • v.24 no.4
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    • pp.63-85
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    • 2023
  • This study aims to identify the primary user group in the growing metaverse space based on the increased interest during the COVID-19 era. It also aims to explore the predictive factors for metaverse adoption. To predict online activities, the study examined user purposes, motivations, and relevant demographic factors as predictive variables through model analysis. The data from the Korean Media Panel Survey were used, and a two-stage analysis with the Heckman two-stage sample selection model was conducted to predict metaverse users. The analysis revealed that the key factors influencing metaverse adoption were offline activities, openness, OTT usage, and purchasing of paid content. Moreover, in the second stage model, openness, gender, and paid content purchases were identified as significant variables for increasing metaverse usage time. These results indicate that understanding metaverse users is essential in the context of the rising interest in online activities during the COVID-19 era and can provide valuable insights for metaverse platform-related companies and developers.

Robust Radiometric and Geometric Correction Methods for Drone-Based Hyperspectral Imaging in Agricultural Applications

  • Hyoung-Sub Shin;Seung-Hwan Go;Jong-Hwa Park
    • Korean Journal of Remote Sensing
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    • v.40 no.3
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    • pp.257-268
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    • 2024
  • Drone-mounted hyperspectral sensors (DHSs) have revolutionized remote sensing in agriculture by offering a cost-effective and flexible platform for high-resolution spectral data acquisition. Their ability to capture data at low altitudes minimizes atmospheric interference, enhancing their utility in agricultural monitoring and management. This study focused on addressing the challenges of radiometric and geometric distortions in preprocessing drone-acquired hyperspectral data. Radiometric correction, using the empirical line method (ELM) and spectral reference panels, effectively removed sensor noise and variations in solar irradiance, resulting in accurate surface reflectance values. Notably, the ELM correction improved reflectance for measured reference panels by 5-55%, resulting in a more uniform spectral profile across wavelengths, further validated by high correlations (0.97-0.99), despite minor deviations observed at specific wavelengths for some reflectors. Geometric correction, utilizing a rubber sheet transformation with ground control points, successfully rectified distortions caused by sensor orientation and flight path variations, ensuring accurate spatial representation within the image. The effectiveness of geometric correction was assessed using root mean square error(RMSE) analysis, revealing minimal errors in both east-west(0.00 to 0.081 m) and north-south directions(0.00 to 0.076 m).The overall position RMSE of 0.031 meters across 100 points demonstrates high geometric accuracy, exceeding industry standards. Additionally, image mosaicking was performed to create a comprehensive representation of the study area. These results demonstrate the effectiveness of the applied preprocessing techniques and highlight the potential of DHSs for precise crop health monitoring and management in smart agriculture. However, further research is needed to address challenges related to data dimensionality, sensor calibration, and reference data availability, as well as exploring alternative correction methods and evaluating their performance in diverse environmental conditions to enhance the robustness and applicability of hyperspectral data processing in agriculture.

Operational Process and Success Factors of Corporate Venture in a Chinese Company: A Case Study of Haier (중국기업의 사내벤처 운영과정과 성공요인: 하이얼(Haier) 중심으로)

  • Yu-Rou Hou;Yuan-Jing Jin;Moon-Gu Huh
    • Asia-Pacific Journal of Business
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    • v.14 no.4
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    • pp.87-113
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    • 2023
  • Purpose - Focusing on Haier, a successful corporate venture in China, we analyse the operating mechanism and success factors of corporate venture, and reveal the necessary factors for the successful implementation of corporate venture. Design/methodology/approach - This study is a single case study centred on Haier, a successful corporate venture in China. Findings - The operational process of Haier's corporate venture includes six key aspects: project selection, team building, resource allocation and support, project implementation, risk control measures, performance evaluation and rewards. In terms of success factors, the support of top management with leadership capability of value creation and sharing is very important for the success of corporate venture. Secondly, a multi reward mechanism can be introduced to motivate employees and improve performance. Thirdly, it is important to integrate corporate culture into the operating mechanism of an corporate venture. Fourthly, flexible operations that break down rigid organisational boundaries and transform the organisation into a more open platform for entrepreneurship can increase the likelihood of success. Finally, empowering employees with operational discretion can also have a positive impact on the success of an Corporate Venture. Research implications or Originality - This study contributes to theory and practice by analysing the success conditions of corporate venture, providing new understanding and drawing new perspectives, especially from the experience of Haier. The results suggest strategies and flexibility for successfully pursuing corporate venture, and provide important experience for international companies to help them gain competitive advantage in global competition. It also helps corporate leaders to promote new directions and innovations and improve their strategies to respond to dynamic environments.

Development and Application of an Artificial Intelligence Convergence Education Program Linked to School Library Reading Activities for Middle School Students (중학생을 위한 학교도서관의 독서활동 연계 인공지능 융합교육 프로그램의 개발과 적용)

  • Yonju No;Ji Won You
    • Journal of the Korean Society for information Management
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    • v.41 no.1
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    • pp.439-463
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    • 2024
  • Recently, there has been a growing demand for school libraries to take on the role of curriculum convergence and content development. This study purposed to develop a program that integrates reading activities and artificial intelligence (AI) education in a middle school library as a platform for convergence education. The program aimed to enhance creative problem-solving skills by integrating an understanding of AI concepts and principles through reading activities related to AI topics. The program, comprising 18 sessions (6 modules), was implemented with 36 first-year students at A Middle School, Gyeonggi-do, in 2022. After implementation, a paired-sample t-test revealed significant improvements in AI learning self-efficacy and creative problem-solving skills. Participants also showed positive attitudes toward class engagement and reading activities. Implications for AI convergence education in connection with school libraries were discussed.