• 제목/요약/키워드: The industry model

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인터넷미디어산업의 발전요인 분석 (An Analysis on the Development Factor of Internet Media Industry)

  • 김용만;설성수
    • 기술혁신학회지
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    • 제9권4호
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    • pp.865-883
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    • 2006
  • 본 논문은 인터넷미디어산업의 발전요인을 분석한 연구로, 이 산업의 발전요인을 포괄적으로 설명할 수 있는 이론적 모형을 제시하고 이를 설문분석을 통해 확인한 것이다. 설문은 정책/기술/시장/기업/수익 요인 등 5개 분야에 걸쳐 촉진요인과 장애요인으로 구분하여 이루어졌다. 한편 각 요인과 이에 속한 항목들의 객관성을 확인하기 위해 응답에 근거해 인자분석을 시도하였고, 본 논문에서 제시한 5개 요인이 유용한 것으로 확인되었다. 이 산업의 발전은 기업요인과 수익요인 등 기업내적인 요인(41.3%), 기술/정책요인(37.6%)과 시장요인(21.0%)에 의해 영향 받는 것으로 파악되었다.

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산업체 현장실습 운영 현황 분석을 통한 개선 방안에 관한 연구 (A Study on the improvement through the present state analysis of the industry field training)

  • 박경우;박익수
    • 공학교육연구
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    • 제19권2호
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    • pp.97-101
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    • 2016
  • This paper examines the industry field training education model, analyze the operational status proposed improvement measures. Data were analyzed using a field training participating students participating industry last three years. On the other hand analysis field training participating students increased, industry participation has decreased. And most of the students took part in the seasonal short-term job training. In addition, it was difficult to analyze the employment status field training operations follow-up member. In this paper, a field training operations support system management models and practical training courses organized field trips how to improve. Field training operations support will be strengthened through the work associated with the company expanding participation model introduced and is expected to increase in the long-term practical training, students participate in field training system improvement. Run the job training Improvement in future research presented in this paper attempts to analyze the students' employment status and results of operations involved.

운수창고 및 통신업에서의 재해율 예측과 무재해시간 추정에 관한 연구 (A Study on the Accident Rate Forecasting and Estimated Zero Accident Time in the Transportation, Storage, and Telecommunication Divisions)

  • 강영식;김태구
    • 한국안전학회지
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    • 제25권6호
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    • pp.47-52
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    • 2010
  • Many industrial accidents have occurred over the years in the manufacturing and construction industries in Korea. However, as the service industry has increased continuously, the share of the accident rate in the service industry was 39.07% in 2009, while the manufacturing industry share was 33.73%. The service industry share overtook the manufacturing industry share for the first time. Therefore, this research considers prevention of industrial accidents in the service industry as well as manufacturing and construction industries. This paper describes a procedure and a method to estimate efficient accident rate forecasting and estimated zero accident time in the service industry in order to prevent industrial accidents in the transportation, storage, and telecommunication divisions. This paper proposes a model using an analytical function for the sake of very efficient accident rate forecasting. Accordingly, this paper has develops a program for accident rate forecasting, zero accident time estimating, and calculation of achievement probability through MFC (Microsoft Foundation Class) software Visual Studio 2008 in the transportation, storage, and telecommunication divisions. In results of this paper, ARIMA (Auto Regressive Integrating Moving Average) is regarded as a very efficient forecasting model for the transportation, storage, and telecommunication division. In testing this model, value minimizing the Sum of Square Errors (SSE) was calculated as 0.2532. Finally the results of this paper are sure to help establish easy accident rate forecasting and strategy or method of zero accident time in the service industry for prevention of industrial accidents.

한국 온라인게임 산업의 서비스 혁신패턴 분석 (Analysis of Innovation Patterns of Korean Online Game Industry)

  • 남영호
    • Journal of Information Technology Applications and Management
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    • 제15권1호
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    • pp.117-137
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    • 2008
  • Using the service innovation system model, the development of Korean online game industry is analyzed. The model proposed by Gallouj (2002) is modified in order to reflect IT service characteristics such as network externalities. Success factors and innovations patterns of Korean online game industry are examined. First, at the early stage of her growth, Korean online game industry was not supported or coordinated by any Government policies unlike DRAM, CDMA or TFT-LCD. Many parts of technical and service innovations were unintentionally initiated by online game developing ventures without predeterminde strategies. Second, the online game industry is basically a service industry so that users' needs and technical and service characteristics are intertwined to produce innovation. The innovation system of the online game industry is quite different from conventional product technological innovation systems in a sense that there are no blueprints for innovation as well as major players in the system. Third, Government's policies for promotion of IT industry such as the broadband infrastructure installation policy, the hi-tech venture promotion policy and the military exemption policy contributed greatly to development of the online game industry. However, these policy tools were not intended for online game industry but in the end gave a great impact on the service innovation system of the online game industry.

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회귀 모델을 활용한 철강 기업의 에너지 소비 예측 (Forecasting Energy Consumption of Steel Industry Using Regression Model)

  • Sung-Ho KANG;Hyun-Ki KIM
    • Journal of Korea Artificial Intelligence Association
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    • 제1권2호
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    • pp.21-25
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    • 2023
  • The purpose of this study was to compare the performance using multiple regression models to predict the energy consumption of steel industry. Specific independent variables were selected in consideration of correlation among various attributes such as CO2 concentration, NSM, Week Status, Day of week, and Load Type, and preprocessing was performed to solve the multicollinearity problem. In data preprocessing, we evaluated linear and nonlinear relationships between each attribute through correlation analysis. In particular, we decided to select variables with high correlation and include appropriate variables in the final model to prevent multicollinearity problems. Among the many regression models learned, Boosted Decision Tree Regression showed the best predictive performance. Ensemble learning in this model was able to effectively learn complex patterns while preventing overfitting by combining multiple decision trees. Consequently, these predictive models are expected to provide important information for improving energy efficiency and management decision-making at steel industry. In the future, we plan to improve the performance of the model by collecting more data and extending variables, and the application of the model considering interactions with external factors will also be considered.

온·오프라인 서비스 기업의 비즈니스모델 인식 차이에 관한 연구 (A Study of the Perception Difference on Business Model - Focused on On-Offline Service Companies)

  • 김인섭;전성현
    • 디지털산업정보학회논문지
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    • 제11권1호
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    • pp.209-223
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    • 2015
  • Google was established an online service company. Lately, Google has widened to the business area until manufacturing industry. Apple was established a computer manufacturing company. So, new business models should develop and should be innovation in order to adapt to industry environments. New business model's development and innovation are attracted on strategy to expect the high performance at companies. In particular, it is important to companies facing a variety of problems. Therefore, the purposes of this study are as follows : First, there understand the perception difference on online service company, offline service company, manufacturing company. Second, there provide for the use of strategy on online service company, offline service company, manufacturing company. The results of this study are customer factor, strategy factor, revenue factor have been statistically significant differences using ANOVA analysis in industry field, and customer factor has been statistically significant difference using t-test in business field. Then, it will expect to increase business competition through the business model.

지역의 산업을 중심으로 하는 정보활성화 방안에 관한 연구 (An Utilization Method of Information around Local Industry)

  • 김영수;박연식;임재홍
    • 한국정보통신학회논문지
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    • 제3권2호
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    • pp.245-253
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    • 1999
  • 본 논문에서는 수산업을 주산업으로 하고 있는 통영지역의 정보활성화에 대하여 연구하였다. 그리고 정보의 효용가치를 극대화시키기 위한 방안으로 해양정보망, 수산정보망, 수산유통정보망 등 세 가지의 네트워크 모델을 제시하였다. 해양정보망에서는 해양환경 및 해양생물의 정보화에 대해서, 수산정보망에서는 어업 및 양식업의 정보화에 대해서, 수산유통정보망에서는 양식 및 일반 어류유통의 정보화에 대한 방안을 제시하였다. 각 정보망에서 수집된 자료는 실시간으로 처리하여 최종 사용자가 항상 최신의 자료를 사용할 수 있도록 Web 기반에서의 서비스를 구현하였다.

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지역의 산업을 중심으로 하는 정보활성화 방안에 관한 연구 (An Utilization Method of Information around Local Industry)

  • 김영수;박연식;임재홍
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 1999년도 춘계종합학술대회
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    • pp.70-77
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    • 1999
  • 본 논문에서는 수산업을 주산업으로 하고 있는 통영지역의 정보활성화에 대하여 연구하였다. 그리고 정보의 효용가치를 극대화시키기 위한 방안으로 해양정보망, 수산정보망, 수산유통정보망 등 세 가지의 네트워크 모델을 제시하였다. 해양정보망에서는 해양환경 및 해양생물의 정보화에 대해서, 수산정보망에서는 어업 및 양식업의 정보화에 대해서, 수산유통정보망에서는 양식 및 일반 어류유통의 정보화에 대한 방안을 제시하였다. 각 정보망에서 수집된 자료는 실시간으로 처리하여 최종 사용자가 항상 최신의 자료를 사용할 수 있도록 Web 기반에서의 서비스를 구현하였다.

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부가통신서비스산업의 경제적 파급효과 분석: 산업연관분석을 이용하여 (The Role of the Value Added Network Service Industry in the Korean Economy: Using An Input-Output Analysis)

  • 신용재;최성욱
    • 디지털융복합연구
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    • 제11권12호
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    • pp.1-10
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    • 2013
  • 부가통신서비스산업은 통신서비스 산업과 국가 경제 발전에 중요성이 증대되고 있다. 따라서 본 연구는 산업연관분석을 이용하여 2000년, 2005년 2009년 세 개년도 동안 부가통신서비스 산업의 역할에 대해 조사하였다. 분석을 위해 수요유도모형에 따른 생산유발효과, 부가가치유발효과 그리고 취업유발효과, 공급유도모형과 레온티에프 가격 모형에 따른 공급지장효과, 물가파급효과 그리고 전후방연쇄효과에 대해 알아보았다. 분석 결과 생산유발효과는 2000년 0.5253원, 2009년 1.31314원, 부가가치유발효과는 0.25112원에서 0.5337원으로 취업유발효과는 0.09749명에서 0.21025명으로 성장하였고, 공급지장효과는 1.29003원에서 2.12048원, 레온티에프 가격모형에 의한 물가파급효과는 0.0022%에서 0.00258%로 상승하였다. 마지막으로 산업연쇄효과에 따르면 최종 수요적 원시산업형의 특징을 가지는 것으로 나타났다.

Development of Industry-Wide IS Integration Model in the Agri-Industry

  • Hedman, Jonas;Henningsson, Stefan
    • Agribusiness and Information Management
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    • 제5권1호
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    • pp.20-30
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    • 2013
  • This paper presents a model explaining industrywide information systems (IS) integration in the agri-industry. Using a theoretical frame of value configuration analysis and IS integration extent we study 15 organizations. We find that product sensitivity, continuous production, value chain captains, and value creation logic explain the industry-wide IS integration. Incompatible value creation logic among stakeholders and the lack of presence of "value chain captains" - powerful actors dominating the entire industry - has and negative impact on industry-wide integration. On the other hand, product sensitivity and continuous production process led to higher levels of integration.

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