• Title/Summary/Keyword: demand-driven model

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A Comparative Analysis on the Economic Effects of the Electricity Industry of Korea and Japan (한국과 일본 전력산업의 경제적 파급효과 비교 분석)

  • Lee, Seung-Jae;Euh, Seung Seub;Yoo, Seung-Hoon
    • Journal of Energy Engineering
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    • v.24 no.2
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    • pp.59-71
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    • 2015
  • This study attempts to examine the economic impacts of electricity industry in Korea and Japan using an inter-industry analysis. Specifically, the study analyzes and compares electricity industry between Japan and Korea through production-inducing effect and value added inducing effect of electricity industry based on demand-driven model. Moreover, this study deals with supply shortage effect and sectoral price effect by using supply-driven model and Leontief price model, respectively. This study analyses the electricity industry through exogenous approach. The results show that electricity industry induces prodution-inducing effect of 0.5946 won in other industries in Korea and 0.5446 yen in other industries in Japan. Value-added-inducing effects are 0.1716 won in other in other industries in Korea and 0.2929 yen in other industries in Japan. Supply shortage effects of electricity industry are 1.5932 won in other industries in Korea and 1.2801 yen in other industries in Japan. And sectoral price effects are 0.2113% in Korea and 0.2196% in Japan due to the price increase of 10% of electricity industry.

Economy Effects of IT Industry on Financial and Insurance Services (IT산업이 금융서비스에 미치는 경제적 효과)

  • Choi, Sung Wook;Shin, Yong Jae
    • Journal of Digital Convergence
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    • v.13 no.1
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    • pp.191-203
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    • 2015
  • IT is based industry on finance and insurance services and is essential equipment of survival for competitive on market. The importance of IT industry on finance and insurance is bigger than other industries. So, This study examinate effects of hardware and software divided by IT industry on each 6 finance and insurances. Research models are production inducing effects of Demand-Driven model, Shortage effects of Supply-Driven model finally, Leontief's price model by using data for analysis is Input-Output table for 2000~2009. Results are that IT Service effects are more impact than IT hardware effects on Finance and Insurance Service. Especially, IT service's supply shortage effects is 0.0847KWR to produce 1KRW of finance and insurance service for 2-fold increase compared to 2000. In addition, Central Bank and banking institutions of finance and insurance services are the greatest impact from IT industry. These are which is increasing to interdependence between IT industry and finance and insurance service.

National Economic Effects of the Korea Shipbuilding Industry (한국 조선산업의 국민경제적 파급효과 분석)

  • Chung, Young-Keun;Lim, Eung-Soon
    • Journal of Korea Port Economic Association
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    • v.27 no.4
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    • pp.129-143
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    • 2011
  • Korean Shipbuilding industry takes 33.1% of world market. This shows that Korea is number 1 in shipbuilding. Also, this means the shipbuilding industry plays a significant role in national economic development. This Study attempts to analyse the national economic impacts of shipbuilding industry using an inter-industry analysis. The study investigates demand-driven model and the Leontief price model. Specifically, this study investigates production-inducing effect, value added-inducing effect and employ-inducing effect. Also, we estimate the sectoral price effect. The result of this analyses are presented: 0.7891 won in production-inducing effect, 0.3742 won in value added-inducing effect. When 1 won is produced by shipbuilding industry, 3.7808 persons in employ-inducing effect when 1 billion won is produced, and sectoral price effect is 0.0009% due to the 10% increase of price.

Living Lab as User-Driven Innovation Model: Case Analysis and Applicability (사용자 주도형 혁신모델로서 리빙랩 사례 분석과 적용 가능성 탐색)

  • Seong, Jieun;Song, Wichin;Park, Inyong
    • Journal of Korea Technology Innovation Society
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    • v.17 no.2
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    • pp.309-333
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    • 2014
  • To meet the challenge of new type of innovation activities requires us to understand the social context of innovation and the potential needs of innovation users and, based on this, to co-construct technology and society simultaneously. Effective 'demand articulation' activities such as the understanding and utilization of user experiences and socio-technical planning are prerequisites for carrying out post-catch up innovations shaping new trajectories and contributing to solving social problems. Living Lab has recently been emerging particularly in Europe as an 'user-driven innovation model', in which users are active participants in innovation activities. The purpose of this study is to contribute to a theoretical discussion of Living Lab as an user-driven innovation model, to make a brief review of cases of Living Lab and to explore Living Lab's applicability in the Korean context. Living Lab is an open innovation model, in which end suers actively participate in innovation processes in a particular geographical space or region and would be able to solve specific problems of that space or region. In that sense, Living Lab would be able to strengthen the problem-solving capabilities of local communities and to become a pioneer in inducing and realizing a new socio-technical system. Furthermore, Living Lab could become an innovative policy tool reflecting recent major changes in innovation policy paradigms such as post-catch up innovation, demand-oriented innovation, regional innovation, societal innovation, innovation eco-system and socio-technical system transition, and thus make a contribution to exploring a new way of bringing about changes in the Korean society.

The Economic Impacts of Pacific Ocean Deep-sea Manganese Nodule Development Project (태평양 심해저 망간단괴 개발사업의 경제적 파급효과)

  • Yoo, Seung-Hoon;Jeong, Dong-Won;Park, Se-Hun
    • Ocean and Polar Research
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    • v.32 no.4
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    • pp.489-499
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    • 2010
  • The securing of raw material is an important requirement for economic development. Many countries, including Korea, actively seek out a stable supply of minerals such as manganese. Manganese nodules are rock concretions on the sea bottom formed of concentric layers of iron and manganese hydroxides around a core and include several strategic minerals necessary for economic development. In particular, the manganese nodule development project (MNDP) plays an important role in the Korean national economy. This study attempts to apply input-output (I-O) analysis in investigating the economic impacts of the MNDP in the Korean national economy. A static I-O framework was employed, focusing on four topics in its application; the production-inducing impacts, the value-added-inducing impacts, the employment-inducing impacts and R&D-inducing impacts of MNDP investments on other sectors. To this end, several versions of the demand-driven models are utilized. In addition, inter-industry linkage analysis is performed to obtain information on the forward and backward linkage effects of industries, including MNDP, to quantify the strength of causation among these industries.

A Study on the establishment of IoT management process in terms of business according to Paradigm Shift (패러다임 전환에 의한 기업 측면의 IoT 경영 프로세스 구축방안 연구)

  • Jeong, Min-Eui;Yu, Song-Jin
    • Journal of Intelligence and Information Systems
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    • v.21 no.2
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    • pp.151-171
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    • 2015
  • This study examined the concepts of the Internet of Things(IoT), the major issue and IoT trend in the domestic and international market. also reviewed the advent of IoT era which caused a 'Paradigm Shift'. This study proposed a solution for the appropriate corresponding strategy in terms of Enterprise. Global competition began in the IoT market. So, Businesses to be competitive and responsive, the government's efforts, as well as the efforts of companies themselves is needed. In particular, in order to cope with the dynamic environment appropriately, faster and more efficient strategy is required. In other words, proposed a management strategy that can respond the IoT competitive era on tipping point through the vision of paradigm shift. We forecasted and proposed the emergence of paradigm shift through a comparative analysis of past management paradigm and IoT management paradigm as follow; I) Knowledge & learning oriented management, II) Technology & innovation oriented management, III) Demand driven management, IV) Global collaboration management. The Knowledge & learning oriented management paradigm is expected to be a new management paradigm due to the development of IT technology development and information processing technology. In addition to the rapid development such as IT infrastructure and processing of data, storage, knowledge sharing and learning has become more important. Currently Hardware-oriented management paradigm will be changed to the software-oriented paradigm. In particular, the software and platform market is a key component of the IoT ecosystem, has been estimated to be led by Technology & innovation oriented management. In 2011, Gartner announced the concept of "Demand-Driven Value Networks(DDVN)", DDVN emphasizes value of the whole of the network. Therefore, Demand driven management paradigm is creating demand for advanced process, not the process corresponding to the demand simply. Global collaboration management paradigm create the value creation through the fusion between technology, between countries, between industries. In particular, cooperation between enterprises that has financial resources and brand power and venture companies with creative ideas and technical will generate positive synergies. Through this, The large enterprises and small companies that can be win-win environment would be built. Cope with the a paradigm shift and to establish a management strategy of Enterprise process, this study utilized the 'RTE cyclone model' which proposed by Gartner. RTE concept consists of three stages, Lead, Operate, Manage. The Lead stage is utilizing capital to strengthen the business competitiveness. This stages has the goal of linking to external stimuli strategy development, also Execute the business strategy of the company for capital and investment activities and environmental changes. Manege stage is to respond appropriately to threats and internalize the goals of the enterprise. Operate stage proceeds to action for increasing the efficiency of the services across the enterprise, also achieve the integration and simplification of the process, with real-time data capture. RTE(Real Time Enterprise) concept has the value for practical use with the management strategy. Appropriately applied in this study, we propose a 'IoT-RTE Cyclone model' which emphasizes the agility of the enterprise. In addition, based on the real-time monitoring, analysis, act through IT and IoT technology. 'IoT-RTE Cyclone model' that could integrate the business processes of the enterprise each sector and support the overall service. therefore the model be used as an effective response strategy for Enterprise. In particular, IoT-RTE Cyclone Model is to respond to external events, waste elements are removed according to the process is repeated. Therefore, it is possible to model the operation of the process more efficient and agile. This IoT-RTE Cyclone Model can be used as an effective response strategy of the enterprise in terms of IoT era of rapidly changing because it supports the overall service of the enterprise. When this model leverages a collaborative system among enterprises it expects breakthrough cost savings through competitiveness, global lead time, minimizing duplication.

Using the Demand-driven Model-based Inter-industry Analysis to Examine the Economic Effects of Petroleum Refinery Sector (수요유도형 모형 기반 산업연관분석을 적용한 정유 부문의 경제적 파급효과 분석)

  • Kim, Ho-Young;Song, Tae-Ho;Yoo, Seung-Hoon
    • Journal of Energy Engineering
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    • v.24 no.1
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    • pp.104-113
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    • 2015
  • This study tried to conduct a comparative analysis on the yearly economic effects of petroleum products sector. Inter-industry tables published 1990~2012 are used in this study. Especially petroleum products sector is specified as exogenous to identify the economic effects on own and other sectors. Production-inducing effect, value-added creation effect, and employment-inducing effect are quantified based on demand-driven model. The results of the analysis, the case of annual production inducing-effect, show the downward trend from 1993 to 2008. and It seemed to be constant from 2009 to 2012. The value-added inducing-effect, from 1990 to 1998, shows a rising trend. the since 1998, it was found to decline steadily. Employment-inducing effect is shown a steadily decreasing trend from 1990 to 2008, and has been kept constant from 2010 at the level under 1.300(person/one billion won). These results of in comparison with the past are significant in that it can be objectively evaluate the domestic oil industry at the present time. and it can be usefully utilized to predict the economic effect of future oil industry.

Development of Financial Effect Measurement(FEM) Models for Quality Improvement and Innovation Activity (품질개선 및 혁신활동에서 재무성과 측정모형의 개발)

  • Choi, Sungwoon
    • Journal of the Korea Safety Management & Science
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    • v.17 no.1
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    • pp.337-348
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    • 2015
  • This research introduces the Financial Effect Measurement (FEM) models which measures both the improvement and the innovation performance of Quality Control Circle (QCC) and activities of Six Sigma. Concepts and principle of Comprehensive Income Statement (CIS), Balanced Scorecard (BSC), Time-Driven Activity Based-Costing (TDABC) and Total Productive Maintenance (TPM) are applied in order to develop the 4 FEM models presented in this paper. First of all, FEM using CIS depicts the improvement effects of production capacity and yield using relationships between demand and supply, and line balancing efficiency between bottleneck process and non-bottleneck processes. Secondly, cause-and-effect relation of Key Performance Indicator (KPI) is used to present Critical Success Factor (CSF) effects for QC Story 15 steps of QCC and DMAIC (Define, Measure, Analyze, Improve, and Control) of Six Sigma. The next is FEM model for service management innovation activities that uses TDABC to calculate the time-driven effect for improving the indirect activities according to the cost object. Lastly, FEM model for TPM activities presents the interpretation of improvement effect model of TPM Capital Expenditure (CAPEX) and Operating Expenditure (OPEX) maintenance using profit, cash and Economic Added Value (EVA) as metrics of enterprise values. To better understand and further investigate FEMs, recent cases on National Quality Circle Contest are used to evaluate new financial effect measurement developed in this paper.

Application of HSPDA Model to Large Water Network (HSPDA 모형의 대규모 상수관망에의 적용)

  • Baek, Chun-Woo;Jun, Hwan-Don;Kim, Joong-Hoon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.2084-2088
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    • 2007
  • 상수관망의 수리해석기법은 demand-driven analysis(DDA)와 pressure-driven analysis(PDA)로 구분할 수 있다. 관거 파괴나 용수수요 급증과 같이 용수공급시스템이 비정상상태인 경우 절점의 용수수요는 항상 만족한다는 가정을 사용하는 DDA의 경우 비현실적인 결과를 줄 수 있으며, 절점수요와 절점수두를 동시에 고려하는 PDA의 개념을 이용한 관망의 수리해석이 필요하다. PDA의 개념을 사용하여 개발된 기존의 많은 모형들은 복잡한 실제관망에는 적용이 불가능한 문제점들을 가지고 있으며, 본 연구에서는 화음탐색법(Harmony Search, HS) EPANET의 toolkit을 연계하여 개발된 HSPDA모형의 실제 대규모 상수관망에의 적용성을 검토하였다. 실제 대규모관망에의 적용성 향상을 위해 화음탐색법의 새로운 인자인 PIR를 제안하였으며 적용결과 새롭게 제안된 PIR은 HSPDA모형의 최적해탐색효율을 획기적으로 향상시켰으며, HSPDA모형을 이용한 실제 대규모관망의 비정상상태 수리모의가 가능한 것으로 판단된다.

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Spatial Downscaling of MODIS Land Surface Temperature: Recent Research Trends, Challenges, and Future Directions

  • Yoo, Cheolhee;Im, Jungho;Park, Sumin;Cho, Dongjin
    • Korean Journal of Remote Sensing
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    • v.36 no.4
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    • pp.609-626
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    • 2020
  • Satellite-based land surface temperature (LST) has been used as one of the major parameters in various climate and environmental models. Especially, Moderate Resolution Imaging Spectroradiometer (MODIS) LST is the most widely used satellite-based LST product due to its spatiotemporal coverage (1 km spatial and sub-daily temporal resolutions) and longevity (> 20 years). However, there is an increasing demand for LST products with finer spatial resolution (e.g., 10-250 m) over regions such as urban areas. Therefore, various methods have been proposed to produce high-resolution MODIS-like LST less than 250 m (e.g., 100 m). The purpose of this review is to provide a comprehensive overview of recent research trends and challenges for the downscaling of MODIS LST. Based on the recent literature survey for the past decade, the downscaling techniques classified into three groups-kernel-driven, fusion-based, and the combination of kernel-driven and fusion-based methods-were reviewed with their pros and cons. Then, five open issues and challenges were discussed: uncertainty in LST retrievals, low thermal contrast, the nonlinearity of LST temporal change, cloud contamination, and model generalization. Future research directions of LST downscaling were finally provided.