• Title/Summary/Keyword: 기업데이터 분석

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Network Performance Measurement and Analysis using Data Plane Development Kit based Open Virtual Switch (개방향가상스위치 기반의 패킷가속화기술을 이용한 네트워크 성능 측정 및 분석)

  • Kim, Ki-Hyeon;Kim, Yong-Hwan;Kim, Joobum;Kim, Dongkyun
    • Annual Conference of KIPS
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    • 2017.04a
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    • pp.117-120
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    • 2017
  • 제 4차 산업혁명의 등장으로 다양한 기술들이 다양한 기술들이 주목받고 있으며, 이 중에서 가장 주목 받고 있는 기술은 빅 데이터 기술이다. 이에 따라 최근 빅 데이터를 이용하기 위한 기업들이 크게 증가하고 있고, 해당 기업들을 위해서 방대한 데이터를 빠르게 전송 및 처리할 수 있는 고성능 네트워킹의 필요성이 증가하고 있다. 데이터의 전송과 처리 속도를 향상시키는 직접적인 방안으로 물리적인 네트워크 장비를 증설할 수 있지만 이는 상당한 비용의 증가를 초래하므로, 이를 해결하기 위해 네트워크 가상화 기술이 대두되었다. 하지만 네트워크 가상화 기술은 네트워크의 성능을 보장할 수 없다는 문제점을 가진다. 이러한 문제가 발생하는 주된 이유는 서버의 운영체제 커널 단에서 패킷을 처리하는 과정에서 성능을 저하시키는 요소들이 다수 존재하기 때문이며, 이를 해결하기 위해 나타난 기술이 패킷가속화기술이다. 본 논문에서는 개방형가상스위치 기반의 패킷가속화기술을 적용한 실험환경을 구성한 후, 이를 통해 가상 스위치 기반의 성능 시험과 패킷가속화기술을 이용한 서비스 체이닝 기술에 대한 성능 시험을 수행했다. 그리고 두 가지 시험을 통해 패킷가속화기술의 안정성과 성능을 검증하였다.

SAP ERP System Data Input Interface Design Analysis and New Implementation Approach Proposal (SAP ERP 시스템 데이터 입력 인터페이스 기술현황 분석 및 새로운 구현 방안 제안)

  • Kim, Yeong Real
    • Journal of Korea Society of Industrial Information Systems
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    • v.22 no.6
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    • pp.61-69
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    • 2017
  • ERP Systems can not meet All the Requirements that Needed in Their Enterprise Organizations. After the System Introduced, when it perates with Existing Systems or with New Systems, the Need for Strong Interface Technology along with the Appearance of the ERP have been gradually Increased. Interface Technologies for SAP R/3 Systems integrate Mulltiple R / 3 Systems and non R / 3 Systems, and play Important Role in Expanding the Company's Business Process. New VBA Approach was implemented as the Data Interface Design between SAP R / 3 and Other Systems. It proved to Reduce the Feeling of Resistance from User's Point of View. It also Proved to Improve the Operational Efficiency with More Convenient Input and Output Manner of Purchase Request Data.

소상공인의 사업 역량과 디지털 역량이 경제활동 지속 의도에 미치는 영향: 1인 미디어 교육참여도의 조절효과

  • 박정옥;하규수
    • 한국벤처창업학회:학술대회논문집
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    • 2023.04a
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    • pp.15-19
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    • 2023
  • 2022년 7월에 열린 'ON미래, 산업디지털전환 국회 포럼' 에서는 기업과 기업의 데이터들이 연결되고 산업에 활용 가능한 환경조성이 필요하며 이러한 데이터 생태계를 위한 거래 활성화로 비즈니스 모델 창출이 중요한 이슈로 떠올랐다. 소상공인시장진흥공단은 소상공인 디지털 특성화대학을 열고 소상공인 디지털 역량 강화를 위해 전국의 10개 대학과 연계하였다. 4차 산업혁명의 진전과 코로나19 팬데믹의 영향으로 인한 비대면 문화의 확산 등과 이에 따른 소상공인의 디지털역량이 사업을 영위하는데 중요한 이슈로 등장한 것이다. 본 연구는 소상공인의 사업 역량과 디지털 역량이 경제활동 지속 의도에 미치는 영향관계를 실증 분석하기 위하여 이루어졌다. 이를 위해 사업 역량을 세분화해서 소상공인의 업종 전문성, 고객관리 전문성으로 나누었다. 디지털 역량은 SNS 활동성, ICT 사용 용이성, ICT 사업 활용성으로 세분화하였다. 이들 요인들이 경제활동 지속 의도에 영향을 미침에 있어서 1인 미디어 교육참여도에 따라 어떻게 달라지는지를 동시에 살펴보았다. 이를 실증 분석하기 위해 1인 미디어 교육을 받은 사람을 대상으로 온라인 설문을 조사하고자 하며 디지털 역량의 중요성이 증대되는 시점에서 소상공인에 있어서도 이러한 역량이 경제활동 지속 의도에 영향을 미치는지 실증적으로 분석하는 측면에서 의의가 있다.

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A default-rate comparison of the construction and other industries using survival analysis method (생존분석기법을 이용한 건설업과 타 업종간의 부도율 비교 분석)

  • Park, Jin-Kyung;Oh, Kwang-Ho;Kim, Min-Soo
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.4
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    • pp.747-756
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    • 2010
  • With the recent recession, studies on the economy are actively being conducted throughout the industry. Based on the Small Business data registered in the Credit Guarantee Fund, we estimated the survival probability in the context of the survival analysis. We also analyzed the survival time for the construction and the other industries which are distinguished depending on the types of business and assets in the Small Business. The survival probability was estimated by using the life-table and the difference between the survival probabilities for the different types of business was described via the method of the Log-rank test and the Wilcoxon test. We found that the small business with over one billion asset has the highest survival probability and that with less than 1000 million asset showed the similar survival probability. In terms of types of business Wholesale and Retail trade industry and Services were relatively high in the survival probability than Light, Heavy, and the construction industries. Especially the construction industry showed the lowest survival probability. Most of the Small Business tend to increase in the hazard rate over time.

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.

The Impact of Digital Transformation on Business Financialization: Mediating Effect of Green Technology Innovation (디지털 혁신이 기업 재무활동에 미치는 영향: 녹색기술혁신의 매개효과)

  • Kyung-Iihl Kim
    • Advanced Industrial SCIence
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    • v.2 no.4
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    • pp.17-27
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    • 2023
  • The purpose of this study is to improve the efficiency of digital conversion by presenting factors that domestic small and medium-sized manufacturers should consider when attempting digital conversion. Using SME data from 2019 to 2021, we analyze the impact of digital transformation on the financialization of enterprises and which digital technologies affect financialization, and further analyze the mediating effect of green technology innovation between digital transformation and business finance. did The results of the study support the negative impact of digital technologies on corporate finance, and cloud computing technologies have been found to significantly inhibit the level of corporate finance. In addition, it was found that green technology innovation plays a mediating role in suppressing corporate financialization by promoting green technology innovation through digital transformation. Digital transformation influences corporate decision-making through green technology innovation, suggesting that the combination of digital technology and green projects should be considered.

Systemic literature review on the impact of government financial support on innovation in private firms (정부의 기술혁신 재정지원 정책효과에 대한 체계적 문헌연구)

  • Ahn, Joon Mo
    • Journal of Technology Innovation
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    • v.30 no.1
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    • pp.57-104
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    • 2022
  • The government has supported the innovation of private firms by intervening the market for various purposes, such as preventing market failure, alleviating information asymmetry, and allocating resources efficiently. Although the government's R&D budget increased rapidly in the 2000s, it is not clear whether the government intervention has made desirable impact on the market. To address this, the current study attempts to explore this issue by doing a systematic literature review on foreign and domestic papers in an integrated way. In total, 168 studies are analyzed using contents analysis approach and various lens, such as policy additionality, policy tools, firm size, unit of analysis, data and method, are adopted for analysis. Overlapping policy target, time lag between government intervention and policy effects, non-linearity of financial supports, interference between different polices, and out-dated R&D tax incentive system are reported as factors hampering the effect of the government intervention. Many policy prescriptions, such as program evaluation indices reflecting behavioral additionality, an introduction of policy mix and evidence-based policy using machine learning, are suggested to improve these hurdles.

FDI Technology Spillover Effect on the Influence of the Innovation Ability (FDI 기술파급효과가 혁신능력에 미치는 영향)

  • Zhang, Guannan;Jung, Yong Woo;Kim, Chul
    • International Area Studies Review
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    • v.15 no.3
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    • pp.451-470
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    • 2011
  • Many countries are committed to absorb foreign direct investments (FDIs). One of the strong motivations is the improvement of innovative capability through the technology spillover of FDI firms. The effect of FDI technology spillover has been widely researched not only on country level, but industry level. With the evolution of globalization and global sourcing of multinational companies, it is necessary to reexamine the relationship between innovation ability of an industry and spillover effect of FDI. This paper investigates the technology spillover effect of FDI on the innovation of Chinese firms. We gathered the data of 34 industries form various sources of Chinese government and the time span is 2001-2008. By using industry level panel data, we set panel data analysis model. In the model, there are two explanatory variables: backward and foreward integration. The analysis result shows that technology spillover of FDI has significant effect on the innovation of foreward integration FDI.

The Effect of Government R&D Supports on SME's Technological Innovation Performance in Korea (정부의 기술개발 지원이 중소기업의 기술혁신 성과에 미치는 영향)

  • Lee, Byung Heon;Lee, Soo Wook;Wi, Se Ahn
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.9 no.5
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    • pp.157-171
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    • 2014
  • This study has empirically analyzed the effect of government technology development supports on the performance of SME's (Small-and-Medium-Sized Enterprises). To analyze the effects of government technology development supports on the performance of SME's, this paper collected data from 271 Korean SMEs and tested hypothesis on the key questions. The result shows that government technology development supports had a meaningful positive effect on the performance of SMEs in terms of innovation. It was also understood that the closer the ties were with large enterprises, the higher the R&D personnel ratio was. Furthermore, when the SME was a certified venture, the government technology development supports had less influence on the SME's technological innovation. On the other hand, SME's technological innovation performance in relation to the government supports showed an improvement when the business environment of SME's was hostile. This study offers theoretical and practical implications, as it more accurately analyses the effect of government technology development supports on the performance of SME's, for which data were collected and analyzed for the same companies two separate times. Last of all, the limitation of this study is discussed in terms of the sample selection, data collection method, variables measurement method, etc.

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Healthcare service analysis using big data

  • Park, Arum;Song, Jaemin;Lee, Sae Bom
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.4
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    • pp.149-156
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    • 2020
  • In the Fourth Industrial Revolution, successful cases using big data in various industries are reported. This paper examines cases that successfully use big data in the medical industry to develop the service and draws implications in value that big data create. The related work introduces big data technology in the medical field and cases of eight innovative service in the big data service are explained. In the introduction, the overall structure of the study is mentioned by describing the background and direction of this study. In the literature study, we explain the definition and concept of big data, and the use of big data in the medical industry. Next, this study describes the several cases, such as technologies using national health information and personal genetic information for the study of diseases, personal health services using personal biometric information, use of medical data for efficiency of business processes, and medical big data for the development of new medicines. In the conclusion, we intend to provide direction for the academic and business implications of this study, as well as how the results of the study can help the domestic medical industry.