• Title/Summary/Keyword: 밸류체인

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A Study on Value Chain Analysis Model Based on Enterprise Transaction Information (기업 거래정보 기반의 밸류체인 분석 모델에 관한 연구)

  • Lee, Ho-Shin;Kim, Ganghoe;Moon, Yeongsu;Lim, Daehyeon
    • Proceedings of the Korea Contents Association Conference
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    • 2018.05a
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    • pp.455-456
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    • 2018
  • 산업구조를 이해하고 기업의 신제품 개발에 있어 밸류체인 분석은 시장 성공의 핵심 열쇠라고 할 수 있다. 기존 정부에서 추진해 왔던 다양한 기술로드맵 분석사업에서 밸류체인 분석은 산업분석의 핵심으로 활용되고 있다. 그러나 일반적으로 실질적인 통계데이터를 기반으로 하기보다는 일부 전문가의 연구결과에 의지하고 있는 실정이다. 이에 본 연구를 통해 좀 더 객관적이고 실질적인 산업구조내에서 실제 기업 거래정보 기반으로 밸류체인을 분석할 수 있는 새로운 분석 모델에 관한 연구를 수행하고자 한다.

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Post-corona and semiconductor industry: The risk of separation of the semiconductor value chain triggered by Corona 19 and the response strategy of the Korean semiconductor industry (포스트 코로나와 반도체 산업 : 코로나19로 촉발된 반도체 밸류체인 분리 위험과 한국 반도체 산업의 대응전략)

  • Kim, Kiseop;Han, SeungHun
    • Journal of Technology Innovation
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    • v.28 no.4
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    • pp.127-150
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    • 2020
  • The World Health Organization (WHO) declared the third pandemic in history after the Hong Kong flu and swine flu. The outbreak of Corona 19 dramatically reduced exchanges between countries, while rapid contagion created a time gap in economic fluctuations by country. In January 2020, the trade dispute between the US and China entered into a consensus phase, but the economic decoupling phenomenon caused by Corona 19 made it difficult for China to balance trade with the US and made it difficult to comply with the terms of the trade dispute agreement between the US and China. President Trump attributed the responsibility for the spread of Corona 19 to China, and pointed out that the cause of the economic downturn was the infringement of Chinese trade secrets and illegal copies, and protectionism arose. As a result, China protested fiercely, and the conflict with the United States deepened. The US has declared trade sanctions on Huawei and SMIC, which are key companies in China's semiconductor industry, and is predicting the risk of a disconnection of the semiconductor value chain between the US and China. The separation of the value chain of the semiconductor industry has the potential to have a big impact on the semiconductor industry, a structure that is highly specialized and monopolized by certain countries and companies in the value chain. This paper aims to deal with the risk of disconnection in the semiconductor value chain between the US and China reignited by Corona 19, the impact and change of the global semiconductor industry value chain, and the response strategies of Korean semiconductor companies.

A Study on Intelligent Value Chain Network System based on Firms' Information (기업정보 기반 지능형 밸류체인 네트워크 시스템에 관한 연구)

  • Sung, Tae-Eung;Kim, Kang-Hoe;Moon, Young-Su;Lee, Ho-Shin
    • Journal of Intelligence and Information Systems
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    • v.24 no.3
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    • pp.67-88
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    • 2018
  • Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.

Case study of transaction data between global corporation and usage strategy of domestic corporation (해외 기업간 거래 데이터 활용사례 및 국내 기업의 활용전략)

  • Kim, Kang-Hoe;Lee, Ho-Shin;Lim, Dae-Hyun
    • Proceedings of the Korea Contents Association Conference
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    • 2018.05a
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    • pp.447-448
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    • 2018
  • 기업경영에 있어서의 빅데이터 활용이라는 측면에서 해외 기업 간의 거래정보를 확보하고 이를 기반으로 밸류체인 네트워크를 구축하여 국내 기업들이 활용하도록 하는 것은 국내 기업의 대외 경쟁력을 강화하는 데 큰 도움을 줄 수 있을 것이다. 해외 기업정보 DB를 제공하는 글로벌 신용평가 기관들의 거래정보 서비스 제공사례를 파악하고 이를 국내 밸류체인 네트워크 시스템에 적용할 수 있는 전략을 제시하고자 하였다.

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Hydrogen Policy Trends and Current Status of Hydrogen Technology Development by Value Chain (수소 정책 동향과 밸류체인별 수소 기술 개발 현황)

  • JAE EUN SHIN
    • Transactions of the Korean hydrogen and new energy society
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    • v.34 no.6
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    • pp.562-574
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    • 2023
  • Carbon neutrality has been suggested to overcome the global climate crisis caused by global climate change. Hydrogen energy is a major way to achieve carbon neutrality, and the developments and policies of hydrogen technology have been proposed to achieve this goal. To commercialize hydrogen energy resources, it is necessary to understand the overall value chain composed of hydrogen production, storage, and utilization and to present the direction of technological developments. In this paper the hydrogen strategies of major countries, including Europe, the United States, Japan, China, and South Korea will be analyzed, and hydrogen technologies by value chain will also be explain. This paper will contribute to understanding the overall hydrogen policy and technology, as both policy and technology are summarized.