• 제목/요약/키워드: Data Industry

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IMF전후의 중소제조업의 경영효율성 분석 (An Analysis on the efficiency of Small Manufacturing Industry - before and after IMF -)

  • 이참수
    • 산학경영연구
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    • 제14권
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    • pp.169-187
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    • 2001
  • 효율성 측정은 일반적으로 상장기업을 중심으로 이루어지고 있으며, 중소기업을 중심으로 한 효율성 연구는 미비하다. 따라서 중소기업의 경쟁력을 강화하기 위해서는 우선 중소기업의 현실을 파악할 필요가 있으며, 이를 위해 본 연구에서는 중소기업의 효율성을 측정하여 경쟁력 강화의 기본 자료로 이용되기를 바라는 측면에서 연구되었다. 효율성 측정은 비율분석이나 회귀분석을 통하여 일반적으로 이루어지고 있으나, 본 연구에서는 이러한 분석방법을 이용하지 않고 DEA(data envelopment analysis)모형이라는 새로운 측정수단을 이용하여 효율성을 측정하였다. 국내 상장 중소제조업을 중심으로 1996년부터 1999년까지의 패널자료를 이용하여 IMF전후의 비효율성을 측정하였다. 연구결과에 의하면 상대적 평균효율치는 도매 및 상품중개업이 68.99%, 영상 음향 및 통신장비 제조업이 60.58%, 음식료품제조업이 91.05%, 자동차 및 트레일러제조업이 85.80%, 제1차금속산업이 88.96%, 펄프 종이 및 종이제품제조업이 96.53%, 화합물 및 화학제품제조업이 78.67%로 나타났다. DEA모형은 서비스 및 비영리단체에서 주로 사용되어 온 효율성 평가방법이나 이를 중소제조업에 처음 적용해 보았으며, 추가적으로 IMF 이전과 이후시점의 효율성을 수치적으로 비교하여 우리나라 중소제조업의 경영효율성을 파악하게 해주었다.

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충주지역의 기계류 산업동향 통계분석 (Statistical Analysis of Mechanical Parts Industry in Chungju Region)

  • 이형욱;박성준
    • 융복합기술연구소 논문집
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    • 제2권2호
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    • pp.55-58
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    • 2012
  • The strategic industry in Chungbuk province is the electric and electronic related industry. In the Chnugju region, the trend of major industry have change from the electric and electronic related industry to mechanical parts and components related industry include manufacturing of automobile and transportation. In this paper, we perform statistical analysis using the micro data service provided by the Statistics Korea, The CAGR of the number of employee and value-added value in the electric and electronic related industry during past 7 years are -7.1% and -13.2%, respectively while the CAGR in the mechanical parts related industry are 14.4% and 22.9%, respectively. However, value-added value per value of shipment of the mechanical related industry is lower than that of the electric and electronic related industry.

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Healthcare service analysis using big data

  • Park, Arum;Song, Jaemin;Lee, Sae Bom
    • 한국컴퓨터정보학회논문지
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    • 제25권4호
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    • pp.149-156
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    • 2020
  • 4차산업 혁명으로 다양한 산업분야에서 빅데이터 기술을 성공적으로 활용하여 경영성과를 얻은 사례들이 보고되고 있다. 본 논문은 의료산업에서 빅데이터를 성공적으로 활용한 혁신 사례들 살펴보고 어떤 데이터가 어떠한 목적으로 활용되고 있으며 이러한 빅데이터가 어떤 가치를 창출하는지 시사점을 도출하고자 하였다. 서론에서는 본 연구의 배경과 방향에 대해 기술하여 연구의 전체적인 구조를 파악하고자 하였다. 문헌 연구에서는 빅데이터의 정의 및 개념과 빅데이터 연구와 관련된 내용, 그리고 의료 산업에서의 빅데이터의 활용과 관련된 내용을 설명하고자 하였다. 본문에서는 질병연구를 위해 국민건강정보와 개인유전정보를 활용한 기술, 개인의 생체정보를 활용하여 개인 건강 서비스, 기업의 업무 프로세스 효율화를 위해 기업이 확보하고 있는 지식 데이터와 전자의무기록 정보를 활용한 사례, 그리고 신약개발을 위해 의료빅데이터 활용 사례 등을 서술하였다. 결론에서는 본 연구의 학문적, 비즈니스적 시사도출과 함께 연구의 성과가 국내 의료산업에 어떠한 도움을 줄 수 있는지 방향성을 제시하고자 하였다.

철도 산업의 공기 질 데이터베이스 연합형 통합을 위한 지능형 데이터 거버넌스 (Intelligent Data Governance for the Federated Integration of Air Quality Databases in the Railway Industry)

  • 김민정;원종운;박상찬;박가영
    • 품질경영학회지
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    • 제50권4호
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    • pp.811-830
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    • 2022
  • Purpose: In this paper, we will discuss 1) prioritizing databases to be integrated; 2) which data elements should be emphasized in federated database integration; and 3) the degree of efficiency in the integration. This paper aims to lay the groundwork for building data governance by presenting guidelines for database integration using metrics to identify and evaluate the capabilities of the UK's air quality databases. Methods: This paper intends to perform relative efficiency analysis using Data Envelope Analysis among the multi-criteria decision-making methods. In federated database integration, it is important to identify databases with high integration efficiency when prioritizing databases to be integrated. Results: The outcome of this paper aims not to present performance indicators for the implementation and evaluation of data governance, but rather to discuss what criteria should be used when performing 'federated integration'. Using Data Envelope Analysis in the process of implementing intelligent data governance, authors will establish and present practical strategies to discover databases with high integration efficiency. Conclusion: Through this study, it was possible to establish internal guidelines from an integrated point of view of data governance. The flexiblity of the federated database integration under the practice of the data governance, makes it possible to integrate databases quickly, easily, and effectively. By utilizing the guidelines presented in this study, authors anticipate that the process of integrating multiple databases, including the air quality databases, will evolve into the intelligent data governance based on the federated database integration when establishing the data governance practice in the railway industry.

한국과 미국 e-비즈니스 모델의 종단적 비교 분석에 관한 연구 (A Longitudinal Study on the e-Business Models of Korea and U.S.)

  • 신형배;황경태
    • Journal of Information Technology Applications and Management
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    • 제13권3호
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    • pp.107-127
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    • 2006
  • Understanding characteristics of Internet businesses from cross-cultural perspective could offer valuable insights on developing business strategy and policy. This work is concerned with revealing divergence and convergence of Internet business models in their financial performance, given organizational conditions and cultural context. For this, we studied the association between organizational attributes (core activity, origination, firm age, and industry) and their effects on a firm's financial performance (gross revenue and net income). Relevant data was gathered from representative Internet firms in Korea and U.S. Data analysis indicated that there exist both similarities and differences between Korea and U.S and year 2003 and 2006. While core activities and industry types of U.S. firms has not been changed much between the periods, Korean firms show much difference. In addition, while core activities and industry type were found to have strong relationship with financial performance, age and origination of a firm weak connections with financial performance. This study is expected to provide a foundation for developing more robust and systematic research model and performing further empirical research in this area.

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Developing Objective Linear Scale Data from Subjective Tests for Consumer Products

  • Ko, Young Chan;Park, Jong-Moon
    • 펄프종이기술
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    • 제48권1호
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    • pp.19-26
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    • 2016
  • In the consumer products industry, it has been highly desirable to develop objective test methods to replace subjective evaluation methods. In developing an objective test method, subjective evaluation data should be on a linear scale. According to Thurstone's theory of comparative judgment, a%-preference from a paired-comparison test can be converted to a linear-scale value. The required number (N) of paired-comparison tests increases dramatically as the number of products increases. This problem should be solved by classifying the total products into several subgroups consisting of 3-4 products in each group. By doing so, it can not only significantly reduce the number of required paired-comparison tests, but it can also obtain more reliable, reproducible data.

공공데이터를 이용한 맞춤형 영농 어플리케이션 설계 및 구현 (Design and Implementation of Customized Farming Applications using Public Data)

  • 고주영;윤성욱;김현기
    • 한국멀티미디어학회논문지
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    • 제18권6호
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    • pp.772-779
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    • 2015
  • Advancing information technology have rapidly changed our service environment of life, culture, and industry. Computer information communication system is applied in medical, health, distribution, and business transaction. Smart is using new information by combining ability of computer and information. Although agriculture is labor intensive industry that requires a lot of hands, agriculture is becoming knowledge-based industry today. In agriculture field, computer communication system is applied on facilities farming and machinery Agricultural. In this paper, we designed and implemented application that provides personalized agriculture related information at the actual farming field. Also, this provides farmer a system that they can directly auction or sell their produced crops. We designed and implemented a system that parsing information of each seasonal, weather condition, market price, region based, crop, and disease and insects through individual setup on ubiquitous environment using location-based sensor network and processing data.

클라우드 컴퓨팅의 신뢰성 향상 방안에 관한 연구 (A Study on Improving the Reliability of Cloud Computing)

  • 양정모
    • 디지털산업정보학회논문지
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    • 제8권4호
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    • pp.107-113
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    • 2012
  • Cloud computing has brought changes to the IT environment. Due to the spread of LTE, users of cloud services are growing more. This which provides IT resources to meet the needs of users of cloud services are noted as a core industry. But it is not activated because of the security of personal data and the safety of the service. In order to solve this, intrusion detection system is constructed as follows. This protects individual data safely which exists in the cloud and also protects information exhaustively from malicious attack. The cause of most attack risk which exists to cloud computing can find in distributed environment. In this study, we analyzed about necessary property of network-based intrusion detection system that process and analyze large amount of data which occur in cloud computing environment. Also, we studied functions which detect and correspond attack occurred in interior of virtualization.

섬유산업의 재고관리를 위한 정보시스템 구축에 관한 사례연구 (A Case Study on the Development of an Inventory Management Information System for the Textile Industry)

  • 주철민;조증성;남호수
    • Journal of the Korean Data and Information Science Society
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    • 제10권1호
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    • pp.271-277
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    • 1999
  • 본 연구에서는 섬유산업의 재고관리를 위한 정보시스템 구축사례를 소개한다. D 섬유회사를 대상으로 수주, 생산, 납품 및 재고등과 관련된 전 정보를 체계적으로 관리하여, 수주 및 생산 계획을 위한 가공능력분석 또는 납기를 지킬 수 있도록 하는 생산일정 계획 등의 의사결정이 합리적으로 될 수 있도록 하는 통합 재고정보 관리시스템을 구축한다.

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안전한 관광 서비스를 위한 블록 체인 플랫폼의 인터워킹 메커니즘 (Interworking Mechanism of Blockchain Platforms for Secure Tourism Service)

  • 장림초;항뢰;안기중;김도현
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2019년도 추계학술발표대회
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    • pp.473-474
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    • 2019
  • Recently, data security and convenience are critical requirements to the interaction and collaboration of tourism service systems for the tourism industry. However, there are still many challenges for current tourism service systems to fulfill these requirements since they have inconsistent structures with different access control models and security policies. Blockchain has the potential to evolve the conventional tourism industry benefiting by its unique features such as data privacy and transparency. This paper mainly aims the interworking mechanism of heterogenous blockchain platforms for secure tourism service. We propose interworking scheme to connect multi-blockchain platforms for enhancing data integrity in the tourism industry. A proof of concept design and implement based on Hyperledger Fabric and Winding Tree.